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FastMCP provides a command-line interface (CLI) that makes it easy to run, develop, and install your MCP servers. The CLI is automatically installed when you install FastMCP.
fastmcp --help

Commands Overview

CommandPurposeDependency Management
listList tools on any MCP serverSupports: URLs, local files, MCPConfig JSON, stdio commands. Deps: N/A (connects to existing servers)
callCall a tool on any MCP serverSupports: URLs, local files, MCPConfig JSON, stdio commands. Deps: N/A (connects to existing servers)
runRun a FastMCP server directlySupports: Local files, factory functions, URLs, fastmcp.json configs, MCP configs. Deps: Uses your local environment directly. With --python, --with, --project, or --with-requirements: Runs via uv run subprocess. With fastmcp.json: Automatically manages dependencies based on configuration
devRun a server with the MCP Inspector for testingSupports: Local files and fastmcp.json configs. Deps: Always runs via uv run subprocess (never uses your local environment); dependencies must be specified or available in a uv-managed project. With fastmcp.json: Uses configured dependencies
installInstall a server in MCP client applicationsSupports: Local files and fastmcp.json configs. Deps: Creates an isolated environment; dependencies must be explicitly specified with --with and/or --with-editable. With fastmcp.json: Uses configured dependencies
inspectGenerate a JSON report about a FastMCP serverSupports: Local files and fastmcp.json configs. Deps: Uses your current environment; you are responsible for ensuring all dependencies are available
project prepareCreate a persistent uv project from fastmcp.json environment configSupports: fastmcp.json configs only. Deps: Creates a uv project directory with all dependencies pre-installed for reuse with --project flag
auth cimdCreate and validate CIMD documents for OAuth authenticationN/A
versionDisplay version informationN/A

fastmcp list

List tools available on any MCP server. This works with remote URLs, local Python files, MCPConfig JSON files, and arbitrary stdio commands. Together with fastmcp call, these commands are especially useful for giving LLMs that don’t have built-in MCP support access to MCP tools via shell commands.
fastmcp list http://localhost:8000/mcp
fastmcp list server.py
fastmcp list mcp.json
fastmcp list --command 'npx -y @modelcontextprotocol/server-github'
By default, the output shows each tool’s signature and description. Use --input-schema or --output-schema to include full JSON schemas, or --json for machine-readable output.

Options

OptionFlagDescription
Command--commandConnect to a stdio server command (e.g. 'npx -y @mcp/server')
Transport--transport, -tForce transport type for URL targets (http or sse)
Resources--resourcesAlso list resources
Prompts--promptsAlso list prompts
Input Schema--input-schemaShow full input schemas
Output Schema--output-schemaShow full output schemas
JSON--jsonOutput as JSON
Timeout--timeoutConnection timeout in seconds
Auth--authAuth method: oauth (default for HTTP), a bearer token, or none to disable

Server Targets

The <server> argument accepts:
  1. URLshttp:// or https:// endpoints. Uses Streamable HTTP by default; pass --transport sse for SSE servers.
  2. Python files.py files are run via fastmcp run automatically.
  3. MCPConfig JSON.json files with an mcpServers key are treated as multi-server configs.
  4. Stdio commands — Use --command to connect to any MCP server via stdio (e.g. npx, uvx).

Examples

# List tools on a remote server
fastmcp list http://localhost:8000/mcp

# List tools from a local Python file
fastmcp list server.py

# Include full input schemas
fastmcp list server.py --input-schema

# Machine-readable JSON
fastmcp list server.py --json

# SSE server
fastmcp list http://localhost:8000/mcp --transport sse

# Stdio command
fastmcp list --command 'npx -y @modelcontextprotocol/server-github'

# Include resources and prompts
fastmcp list server.py --resources --prompts

fastmcp call

Call a tool on any MCP server. Arguments can be passed as key=value pairs, a single JSON object, or via --input-json.
fastmcp call server.py greet name=World
fastmcp call http://localhost:8000/mcp search query=hello limit=5
fastmcp call server.py create_item '{"name": "x", "tags": ["a", "b"]}'
Tool arguments are automatically coerced to the correct type based on the tool’s input schema — string values like limit=5 become integers when the schema expects one.

Options

OptionFlagDescription
Command--commandConnect to a stdio server command (e.g. 'npx -y @mcp/server')
Transport--transport, -tForce transport type for URL targets (http or sse)
Input JSON--input-jsonJSON string of tool arguments (merged with key=value args)
JSON--jsonOutput raw JSON result
Timeout--timeoutConnection timeout in seconds
Auth--authAuth method: oauth (default for HTTP), a bearer token, or none to disable

Argument Passing

There are three ways to pass arguments: Key=value pairs are the simplest for flat arguments. Values are coerced using the tool’s JSON schema (strings become ints, bools, etc.):
fastmcp call server.py search query=hello limit=5 verbose=true
A single JSON object works when you have structured or nested arguments:
fastmcp call server.py create_item '{"name": "Widget", "tags": ["new", "sale"]}'
--input-json provides a base dict that key=value pairs can override:
fastmcp call server.py search --input-json '{"query": "hello", "limit": 5}' limit=10

Examples

# Call a tool with simple args
fastmcp call server.py greet name=World

# Call with JSON object
fastmcp call server.py create '{"name": "x", "tags": ["a"]}'

# Get JSON output for scripting
fastmcp call server.py add a=3 b=4 --json

# Call a tool on a remote server
fastmcp call http://localhost:8000/mcp search query=hello

# Call via stdio command
fastmcp call --command 'npx -y @mcp/server' tool_name arg=value

# Disable OAuth for HTTP targets
fastmcp call http://localhost:8000/mcp search query=hello --auth none
If you call a tool that doesn’t exist, FastMCP will suggest similar tool names. Use fastmcp list to see all available tools on a server.

fastmcp run

Run a FastMCP server directly or proxy a remote server.
fastmcp run server.py
By default, this command runs the server directly in your current Python environment. You are responsible for ensuring all dependencies are available. When using --python, --with, --project, or --with-requirements options, it runs the server via uv run subprocess instead.

Options

OptionFlagDescription
Transport--transport, -tTransport protocol to use (stdio, http, or sse)
Host--hostHost to bind to when using http transport (default: 127.0.0.1)
Port--port, -pPort to bind to when using http transport (default: 8000)
Path--pathPath to bind to when using http transport (default: /mcp/ or /sse/ for SSE)
Log Level--log-level, -lLog level (DEBUG, INFO, WARNING, ERROR, CRITICAL)
No Banner--no-bannerDisable the startup banner display
Auto-Reload--reload / --no-reloadEnable auto-reload on file changes (development mode)
Reload Directories--reload-dirDirectories to watch for changes (can be used multiple times)
No Environment--skip-envSkip environment setup with uv (use when already in a uv environment)
Python Version--pythonPython version to use (e.g., 3.10, 3.11)
Additional Packages--withAdditional packages to install (can be used multiple times)
Project Directory--projectRun the command within the given project directory
Requirements File--with-requirementsRequirements file to install dependencies from

Entrypoints

New in version 2.3.5 The fastmcp run command supports the following entrypoints:
  1. Inferred server instance: server.py - imports the module and looks for a FastMCP server instance named mcp, server, or app. Errors if no such object is found.
  2. Explicit server entrypoint: server.py:custom_name - imports and uses the specified server entrypoint
  3. Factory function: server.py:create_server - calls the specified function (sync or async) to create a server instance
  4. Remote server proxy: https://example.com/mcp-server - connects to a remote server and creates a local proxy server
  5. FastMCP configuration file: fastmcp.json - runs servers using FastMCP’s declarative configuration format (auto-detects files in current directory)
  6. MCP configuration file: mcp.json - runs servers defined in a standard MCP configuration file
Note: When using fastmcp run with a local file, it completely ignores the if __name__ == "__main__" block. This means:
  • Any setup code in __main__ will NOT run
  • Server configuration in __main__ is bypassed
  • fastmcp run finds your server entrypoint/factory and runs it with its own transport settings
If you need setup code to run, use the factory pattern instead.

Inferred Server Instance

If you provide a path to a file, fastmcp run will load the file and look for a FastMCP server instance stored as a variable named mcp, server, or app. If no such object is found, it will raise an error. For example, if you have a file called server.py with the following content:
server.py
from fastmcp import FastMCP

mcp = FastMCP("MyServer")
You can run it with:
fastmcp run server.py

Explicit Server Entrypoint

If your server is stored as a variable with a custom name, or you want to be explicit about which server to run, you can use the following syntax to load a specific server entrypoint:
fastmcp run server.py:custom_name
For example, if you have a file called server.py with the following content:
from fastmcp import FastMCP

my_server = FastMCP("CustomServer")

@my_server.tool
def hello() -> str:
    return "Hello from custom server!"
You can run it with:
fastmcp run server.py:my_server

Factory Function

New in version 2.11.2 Since fastmcp run ignores the if __name__ == "__main__" block, you can use a factory function to run setup code before your server starts. Factory functions are called without any arguments and must return a FastMCP server instance. Both sync and async factory functions are supported. The syntax for using a factory function is the same as for an explicit server entrypoint: fastmcp run server.py:factory_fn. FastMCP will automatically detect that you have identified a function rather than a server Instance For example, if you have a file called server.py with the following content:
from fastmcp import FastMCP

async def create_server() -> FastMCP:
    mcp = FastMCP("MyServer")
    
    @mcp.tool
    def add(x: int, y: int) -> int:
        return x + y
    
    # Setup that runs with fastmcp run
    tool = await mcp.get_tool("add")
    tool.disable()
    
    return mcp
You can run it with:
fastmcp run server.py:create_server

Remote Server Proxy

FastMCP run can also start a local proxy server that connects to a remote server. This is useful when you want to run a remote server locally for testing or development purposes, or to use with a client that doesn’t support direct connections to remote servers. To start a local proxy, you can use the following syntax:
fastmcp run https://example.com/mcp

FastMCP Configuration

New in version 2.11.4 FastMCP supports declarative configuration through fastmcp.json files. When you run fastmcp run without arguments, it automatically looks for a fastmcp.json file in the current directory:
# Auto-detect fastmcp.json in current directory
fastmcp run

# Or explicitly specify a configuration file
fastmcp run my-config.fastmcp.json
The configuration file handles dependencies, environment variables, and transport settings. Command-line arguments override configuration file values:
# Override port from config file
fastmcp run fastmcp.json --port 8080

# Skip environment setup when already in a uv environment
fastmcp run fastmcp.json --skip-env
The --skip-env flag is useful when:
  • You’re already in an activated virtual environment
  • You’re inside a Docker container with pre-installed dependencies
  • You’re in a uv-managed environment (prevents infinite recursion)
  • You want to test the server without environment setup
See Server Configuration for detailed documentation on fastmcp.json.

MCP Configuration

FastMCP can also run servers defined in a standard MCP configuration file. This is useful when you want to run multiple servers from a single file, or when you want to use a client that doesn’t support direct connections to remote servers. To run a MCP configuration file, you can use the following syntax:
fastmcp run mcp.json
This will run all the servers defined in the file.

fastmcp dev

Run a MCP server with the MCP Inspector for testing. Auto-reload is enabled by default, so your server automatically restarts when you save changes to source files.
fastmcp dev server.py
This command always runs your server via uv run subprocess (never your local environment) to work with the MCP Inspector. Dependencies can be:
  • Specified using --with and/or --with-editable options
  • Defined in a fastmcp.json configuration file
  • Available in a uv-managed project
When using fastmcp.json, the dev command automatically uses the configured dependencies.
The dev command is a shortcut for testing a server over STDIO only. When the Inspector launches, you may need to:
  1. Select “STDIO” from the transport dropdown
  2. Connect manually
This command does not support HTTP testing. To test a server over Streamable HTTP or SSE:
  1. Start your server manually with the appropriate transport using either the command line:
    fastmcp run server.py --transport http
    
    or by setting the transport in your code:
    python server.py  # Assuming your __main__ block sets Streamable HTTP transport
    
  2. Open the MCP Inspector separately and connect to your running server

Options

OptionFlagDescription
Editable Package--with-editable, -eDirectory containing pyproject.toml to install in editable mode
Additional Packages--withAdditional packages to install (can be used multiple times)
Inspector Version--inspector-versionVersion of the MCP Inspector to use
UI Port--ui-portPort for the MCP Inspector UI
Server Port--server-portPort for the MCP Inspector Proxy server
Auto-Reload--reload / --no-reloadEnable/disable auto-reload on file changes (enabled by default)
Reload Directories--reload-dirDirectories to watch for changes (can be used multiple times)
Python Version--pythonPython version to use (e.g., 3.10, 3.11)
Project Directory--projectRun the command within the given project directory
Requirements File--with-requirementsRequirements file to install dependencies from

Entrypoints

The dev command supports local FastMCP server files and configuration:
  1. Inferred server instance: server.py - imports the module and looks for a FastMCP server instance named mcp, server, or app. Errors if no such object is found.
  2. Explicit server entrypoint: server.py:custom_name - imports and uses the specified server entrypoint
  3. Factory function: server.py:create_server - calls the specified function (sync or async) to create a server instance
  4. FastMCP configuration: fastmcp.json - uses FastMCP’s declarative configuration (auto-detects in current directory)
The dev command only supports local files and fastmcp.json - no URLs, remote servers, or standard MCP configuration files.
Examples
# Run dev server with editable mode and additional packages
fastmcp dev server.py -e . --with pandas --with matplotlib

# Run dev server with fastmcp.json configuration (auto-detects)
fastmcp dev

# Run dev server with explicit fastmcp.json file
fastmcp dev dev.fastmcp.json

# Run dev server with specific Python version
fastmcp dev server.py --python 3.11

# Run dev server with requirements file
fastmcp dev server.py --with-requirements requirements.txt

# Run dev server within a specific project directory
fastmcp dev server.py --project /path/to/project

fastmcp install

New in version 2.10.3 Install a MCP server in MCP client applications. FastMCP currently supports the following clients:
  • Claude Code - Installs via Claude Code’s built-in MCP management system
  • Claude Desktop - Installs via direct configuration file modification
  • Cursor - Installs via deeplink that opens Cursor for user confirmation
  • Gemini CLI - Installs via Gemini CLI’s built-in MCP management system
  • Goose - Installs via deeplink that opens Goose for user confirmation (uses uvx)
  • MCP JSON - Generates standard MCP JSON configuration for manual use
  • Stdio - Outputs the shell command to run a server over stdio transport
fastmcp install claude-code server.py
fastmcp install claude-desktop server.py
fastmcp install cursor server.py
fastmcp install gemini-cli server.py
fastmcp install goose server.py
fastmcp install mcp-json server.py
fastmcp install stdio server.py
Note that for security reasons, MCP clients usually run every server in a completely isolated environment. Therefore, all dependencies must be explicitly specified using the --with and/or --with-editable options (following uv conventions) or by attaching them to your server in code via the dependencies parameter. You should not assume that the MCP server will have access to your local environment.
uv must be installed and available in your system PATH. Both Claude Desktop and Cursor run in isolated environments and need uv to manage dependencies. On macOS, install uv globally with Homebrew for Claude Desktop compatibility: brew install uv.
Python Version Considerations: The install commands now support the --python option to specify a Python version directly. You can also use --project to run within a specific project directory or --with-requirements to install dependencies from a requirements file.
FastMCP install commands focus on local server files with STDIO transport. For remote servers running with HTTP or SSE transport, use your client’s native configuration - FastMCP’s value is simplifying the complex local setup with dependencies and uv commands.

Options

OptionFlagDescription
Server Name--server-name, -nCustom name for the server (defaults to server’s name attribute or file name)
Editable Package--with-editable, -eDirectory containing pyproject.toml to install in editable mode
Additional Packages--withAdditional packages to install (can be used multiple times)
Environment Variables--envEnvironment variables in KEY=VALUE format (can be used multiple times)
Environment File--env-file, -fLoad environment variables from a .env file
Python Version--pythonPython version to use (e.g., 3.10, 3.11)
Project Directory--projectRun the command within the given project directory
Requirements File--with-requirementsRequirements file to install dependencies from

Entrypoints

The install command supports local FastMCP server files and configuration:
  1. Inferred server instance: server.py - imports the module and looks for a FastMCP server instance named mcp, server, or app. Errors if no such object is found.
  2. Explicit server entrypoint: server.py:custom_name - imports and uses the specified server entrypoint
  3. Factory function: server.py:create_server - calls the specified function (sync or async) to create a server instance
  4. FastMCP configuration: fastmcp.json - uses FastMCP’s declarative configuration with dependencies and settings
Factory functions are particularly useful for install commands since they allow setup code to run that would otherwise be ignored when the MCP client runs your server. When using fastmcp.json, dependencies are automatically handled.
The install command only supports local files and fastmcp.json - no URLs, remote servers, or standard MCP configuration files. For remote servers, use your MCP client’s native configuration.
Examples
# Auto-detects server entrypoint (looks for 'mcp', 'server', or 'app')
fastmcp install claude-desktop server.py

# Install with fastmcp.json configuration (auto-detects)
fastmcp install claude-desktop

# Install with explicit fastmcp.json file
fastmcp install claude-desktop my-config.fastmcp.json

# Uses specific server entrypoint
fastmcp install claude-desktop server.py:my_server

# With custom name and dependencies
fastmcp install claude-desktop server.py:my_server --server-name "My Analysis Server" --with pandas

# Install in Claude Code with environment variables
fastmcp install claude-code server.py --env API_KEY=secret --env DEBUG=true

# Install in Cursor with environment variables
fastmcp install cursor server.py --env API_KEY=secret --env DEBUG=true

# Install with environment file
fastmcp install cursor server.py --env-file .env

# Install in Goose (uses uvx deeplink)
fastmcp install goose server.py --with pandas

# Install with specific Python version
fastmcp install claude-desktop server.py --python 3.11

# Install with requirements file
fastmcp install claude-code server.py --with-requirements requirements.txt

# Install within a project directory
fastmcp install cursor server.py --project /path/to/project

# Generate MCP JSON configuration
fastmcp install mcp-json server.py --name "My Server" --with pandas

# Copy JSON configuration to clipboard
fastmcp install mcp-json server.py --copy

# Output the stdio command for running a server
fastmcp install stdio server.py

# Output the stdio command from a fastmcp.json (includes configured dependencies)
fastmcp install stdio fastmcp.json

# Copy the stdio command to clipboard
fastmcp install stdio server.py --copy

MCP JSON Generation

The mcp-json subcommand generates standard MCP JSON configuration that can be used with any MCP-compatible client. This is useful when:
  • Working with MCP clients not directly supported by FastMCP
  • Creating configuration for CI/CD environments
  • Sharing server configurations with others
  • Integration with custom tooling
The generated JSON follows the standard MCP server configuration format used by Claude Desktop, VS Code, Cursor, and other MCP clients, with the server name as the root key:
{
  "server-name": {
    "command": "uv",
    "args": [
      "run",
      "--with",
      "fastmcp",
      "fastmcp",
      "run",
      "/path/to/server.py"
    ],
    "env": {
      "API_KEY": "value"
    }
  }
}
To use this configuration with your MCP client, you’ll typically need to add it to the client’s mcpServers object. Consult your client’s documentation for any specific configuration requirements or formatting needs.
Options specific to mcp-json:
OptionFlagDescription
Copy to Clipboard--copyCopy configuration to clipboard instead of printing to stdout

Stdio Command

The stdio subcommand outputs the shell command an MCP host uses to start your server over stdio transport. Use it when you need a ready-to-paste uv run --with fastmcp fastmcp run ... command for a tool or script without a dedicated install target.
# Print the command to stdout
fastmcp install stdio server.py

# Output: uv run --with fastmcp fastmcp run /absolute/path/to/server.py
When you pass a fastmcp.json, FastMCP automatically includes dependencies from the configuration:
fastmcp install stdio fastmcp.json

# Output: uv run --with fastmcp --with pillow --with 'qrcode[pil]>=8.0' fastmcp run /absolute/path/to/qr_server.py
Use --copy to send the command directly to your clipboard:
fastmcp install stdio server.py --copy
# ✓ Command copied to clipboard
Options specific to stdio:
OptionFlagDescription
Copy to Clipboard--copyCopy command to clipboard instead of printing to stdout

fastmcp inspect

New in version 2.9.0 Inspect a FastMCP server to view summary information or generate a detailed JSON report.
# Show text summary
fastmcp inspect server.py

# Output FastMCP JSON to stdout
fastmcp inspect server.py --format fastmcp

# Save MCP JSON to file (format required with -o)
fastmcp inspect server.py --format mcp -o manifest.json

Options

OptionFlagDescription
Format--format, -fOutput format: fastmcp (FastMCP-specific) or mcp (MCP protocol). Required when using -o
Output File--output, -oSave JSON report to file instead of stdout. Requires --format

Output Formats

FastMCP Format (--format fastmcp)

The default and most comprehensive format, includes all FastMCP-specific metadata:
  • Server name, instructions, and version
  • FastMCP version and MCP version
  • Tool tags and enabled status
  • Output schemas for tools
  • Annotations and custom metadata
  • Uses snake_case field names
  • Use this for: Complete server introspection and debugging FastMCP servers

MCP Protocol Format (--format mcp)

Shows exactly what MCP clients will see via the protocol:
  • Only includes standard MCP protocol fields
  • Matches output from client.list_tools(), client.list_prompts(), etc.
  • Uses camelCase field names (e.g., inputSchema)
  • Excludes FastMCP-specific fields like tags and enabled status
  • Use this for: Debugging client visibility and ensuring MCP compatibility

Entrypoints

The inspect command supports local FastMCP server files and configuration:
  1. Inferred server instance: server.py - imports the module and looks for a FastMCP server instance named mcp, server, or app. Errors if no such object is found.
  2. Explicit server entrypoint: server.py:custom_name - imports and uses the specified server entrypoint
  3. Factory function: server.py:create_server - calls the specified function (sync or async) to create a server instance
  4. FastMCP configuration: fastmcp.json - inspects servers defined with FastMCP’s declarative configuration
The inspect command only supports local files and fastmcp.json - no URLs, remote servers, or standard MCP configuration files.

Examples

# Show text summary (no JSON output)
fastmcp inspect server.py
# Output: 
# Server: MyServer
# Instructions: A helpful MCP server
# Version: 1.0.0
#
# Components:
#   Tools: 5
#   Prompts: 2
#   Resources: 3
#   Templates: 1
#
# Environment:
#   FastMCP: 2.0.0
#   MCP: 1.0.0
#
# Use --format [fastmcp|mcp] for complete JSON output

# Output FastMCP format to stdout
fastmcp inspect server.py --format fastmcp

# Specify server entrypoint
fastmcp inspect server.py:my_server

# Output MCP protocol format to stdout
fastmcp inspect server.py --format mcp

# Save to file (format required)
fastmcp inspect server.py --format fastmcp -o server-manifest.json

# Save MCP format with custom server object
fastmcp inspect server.py:my_server --format mcp -o mcp-manifest.json

# Error: format required with output file
fastmcp inspect server.py -o output.json
# Error: --format is required when using -o/--output

fastmcp project prepare

Create a persistent uv project directory from a fastmcp.json file’s environment configuration. This allows you to pre-install all dependencies once and reuse them with the --project flag.
fastmcp project prepare fastmcp.json --output-dir ./env

Options

OptionFlagDescription
Output Directory--output-dirRequired. Directory where the persistent uv project will be created

Usage Pattern

# Step 1: Prepare the environment (installs dependencies)
fastmcp project prepare fastmcp.json --output-dir ./my-env

# Step 2: Run using the prepared environment (fast, no dependency installation)
fastmcp run fastmcp.json --project ./my-env
The prepare command creates a uv project with:
  • A pyproject.toml containing all dependencies from the fastmcp.json
  • A .venv with all packages pre-installed
  • A uv.lock file for reproducible environments
This is useful when you want to separate environment setup from server execution, such as in deployment scenarios where dependencies are installed once and the server is run multiple times.

fastmcp auth

New in version 3.0.0 Authentication-related utilities and configuration commands.

fastmcp auth cimd create

Generate a CIMD (Client ID Metadata Document) for hosting. This creates a JSON document that you can host at an HTTPS URL to use as your OAuth client identity.
fastmcp auth cimd create --name "My App" --redirect-uri "http://localhost:*/callback"

Options

OptionFlagDescription
Name--nameRequired. Human-readable name of the client application
Redirect URI--redirect-uriRequired. Allowed redirect URIs (can specify multiple)
Client URI--client-uriURL of the client’s home page
Logo URI--logo-uriURL of the client’s logo image
Scope--scopeSpace-separated list of scopes the client may request
Output--output, -oOutput file path (default: stdout)
Pretty--prettyPretty-print JSON output (default: true)

Example

# Generate document to stdout
fastmcp auth cimd create \
    --name "My Production App" \
    --redirect-uri "http://localhost:*/callback" \
    --redirect-uri "https://myapp.example.com/callback" \
    --client-uri "https://myapp.example.com" \
    --scope "read write"

# Save to file
fastmcp auth cimd create \
    --name "My App" \
    --redirect-uri "http://localhost:*/callback" \
    --output client.json
The generated document includes a placeholder client_id that you must update to match the URL where you’ll host the document before deploying.

fastmcp auth cimd validate

Validate a hosted CIMD document by fetching it from its URL and checking that it conforms to the CIMD specification.
fastmcp auth cimd validate https://myapp.example.com/oauth/client.json

Options

OptionFlagDescription
Timeout--timeout, -tHTTP request timeout in seconds (default: 10)
The validator checks:
  • The URL is a valid CIMD URL (HTTPS with non-root path)
  • The document is valid JSON and conforms to the CIMD schema
  • The client_id field in the document matches the URL
  • No shared-secret authentication methods are used
On success, it displays the document details:
→ Fetching https://myapp.example.com/oauth/client.json...
✓ Valid CIMD document

Document details:
  client_id: https://myapp.example.com/oauth/client.json
  client_name: My App
  token_endpoint_auth_method: none
  redirect_uris:
    • http://localhost:*/callback

fastmcp version

Display version information about FastMCP and related components.
fastmcp version

Options

OptionFlagDescription
Copy to Clipboard--copyCopy version information to clipboard