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fastmcp.server.server

FastMCP - A more ergonomic interface for MCP servers.

Functions

default_lifespan

default_lifespan(server: FastMCP[LifespanResultT]) -> AsyncIterator[Any]
Default lifespan context manager that does nothing. Args:
  • server: The server instance this lifespan is managing
Returns:
  • An empty dictionary as the lifespan result.

create_proxy

create_proxy(target: Client[ClientTransportT] | ClientTransport | FastMCP[Any] | FastMCP1Server | AnyUrl | Path | MCPConfig | dict[str, Any] | str, **settings: Any) -> FastMCPProxy
Create a FastMCP proxy server for the given target. This is the recommended way to create a proxy server. For lower-level control, use FastMCPProxy or ProxyProvider directly from fastmcp.server.providers.proxy. Args:
  • target: The backend to proxy to. Can be:
  • A Client instance (connected or disconnected)
  • A ClientTransport
  • A FastMCP server instance
  • A URL string or AnyUrl
  • A Path to a server script
  • An MCPConfig or dict
  • **settings: Additional settings passed to FastMCPProxy (name, etc.)
Returns:
  • A FastMCPProxy server that proxies to the target.

Classes

StateValue

Wrapper for stored context state values.

FastMCP

Methods:

settings

settings(self) -> Settings

name

name(self) -> str

instructions

instructions(self) -> str | None

instructions

instructions(self, value: str | None) -> None

version

version(self) -> str | None

website_url

website_url(self) -> str | None

icons

icons(self) -> list[mcp.types.Icon]

add_middleware

add_middleware(self, middleware: Middleware) -> None

add_provider

add_provider(self, provider: Provider) -> None
Add a provider for dynamic tools, resources, and prompts. Providers are queried in registration order. The first provider to return a non-None result wins. Static components (registered via decorators) always take precedence over providers. Args:
  • provider: A Provider instance that will provide components dynamically.
  • namespace: Optional namespace prefix. When set:
  • Tools become “namespace_toolname”
  • Resources become “protocol://namespace/path”
  • Prompts become “namespace_promptname”

get_tasks

get_tasks(self) -> Sequence[FastMCPComponent]
Get task-eligible components with all transforms applied. Overrides AggregateProvider.get_tasks() to apply server-level transforms after aggregation. AggregateProvider handles provider-level namespacing.

add_transform

add_transform(self, transform: Transform) -> None
Add a server-level transform. Server-level transforms are applied after all providers are aggregated. They transform tools, resources, and prompts from ALL providers. Args:
  • transform: The transform to add.

add_tool_transformation

add_tool_transformation(self, tool_name: str, transformation: ToolTransformConfig) -> None
Add a tool transformation. .. deprecated:: Use add_transform(ToolTransform({...})) instead.

remove_tool_transformation

remove_tool_transformation(self, _tool_name: str) -> None
Remove a tool transformation. .. deprecated:: Tool transformations are now immutable. Use enable/disable controls instead.

list_tools

list_tools(self) -> Sequence[Tool]
List all enabled tools from providers. Overrides Provider.list_tools() to add visibility filtering, auth filtering, and middleware execution. Returns all versions (no deduplication). Protocol handlers deduplicate for MCP wire format.

get_tool

get_tool(self, name: str, version: VersionSpec | None = None) -> Tool | None
Get a tool by name, filtering disabled tools. Overrides Provider.get_tool() to add visibility filtering after all transforms (including session-level) have been applied. This ensures session transforms can override provider-level disables. Args:
  • name: The tool name.
  • version: Version filter (None returns highest version).
Returns:
  • The tool if found and enabled, None otherwise.

list_resources

list_resources(self) -> Sequence[Resource]
List all enabled resources from providers. Overrides Provider.list_resources() to add visibility filtering, auth filtering, and middleware execution. Returns all versions (no deduplication). Protocol handlers deduplicate for MCP wire format.

get_resource

get_resource(self, uri: str, version: VersionSpec | None = None) -> Resource | None
Get a resource by URI, filtering disabled resources. Overrides Provider.get_resource() to add visibility filtering after all transforms (including session-level) have been applied. Args:
  • uri: The resource URI.
  • version: Version filter (None returns highest version).
Returns:
  • The resource if found and enabled, None otherwise.

list_resource_templates

list_resource_templates(self) -> Sequence[ResourceTemplate]
List all enabled resource templates from providers. Overrides Provider.list_resource_templates() to add visibility filtering, auth filtering, and middleware execution. Returns all versions (no deduplication). Protocol handlers deduplicate for MCP wire format.

get_resource_template

get_resource_template(self, uri: str, version: VersionSpec | None = None) -> ResourceTemplate | None
Get a resource template by URI, filtering disabled templates. Overrides Provider.get_resource_template() to add visibility filtering after all transforms (including session-level) have been applied. Args:
  • uri: The template URI.
  • version: Version filter (None returns highest version).
Returns:
  • The template if found and enabled, None otherwise.

list_prompts

list_prompts(self) -> Sequence[Prompt]
List all enabled prompts from providers. Overrides Provider.list_prompts() to add visibility filtering, auth filtering, and middleware execution. Returns all versions (no deduplication). Protocol handlers deduplicate for MCP wire format.

get_prompt

get_prompt(self, name: str, version: VersionSpec | None = None) -> Prompt | None
Get a prompt by name, filtering disabled prompts. Overrides Provider.get_prompt() to add visibility filtering after all transforms (including session-level) have been applied. Args:
  • name: The prompt name.
  • version: Version filter (None returns highest version).
Returns:
  • The prompt if found and enabled, None otherwise.

call_tool

call_tool(self, name: str, arguments: dict[str, Any] | None = None) -> ToolResult

call_tool

call_tool(self, name: str, arguments: dict[str, Any] | None = None) -> mcp.types.CreateTaskResult

call_tool

call_tool(self, name: str, arguments: dict[str, Any] | None = None) -> ToolResult | mcp.types.CreateTaskResult
Call a tool by name. This is the public API for executing tools. By default, middleware is applied. Args:
  • name: The tool name
  • arguments: Tool arguments (optional)
  • version: Specific version to call. If None, calls highest version.
  • run_middleware: If True (default), apply the middleware chain. Set to False when called from middleware to avoid re-applying.
  • task_meta: If provided, execute as a background task and return CreateTaskResult. If None (default), execute synchronously and return ToolResult.
Returns:
  • ToolResult when task_meta is None.
  • CreateTaskResult when task_meta is provided.
Raises:
  • NotFoundError: If tool not found or disabled
  • ToolError: If tool execution fails
  • ValidationError: If arguments fail validation

read_resource

read_resource(self, uri: str) -> ResourceResult

read_resource

read_resource(self, uri: str) -> mcp.types.CreateTaskResult

read_resource

read_resource(self, uri: str) -> ResourceResult | mcp.types.CreateTaskResult
Read a resource by URI. This is the public API for reading resources. By default, middleware is applied. Checks concrete resources first, then templates. Args:
  • uri: The resource URI
  • version: Specific version to read. If None, reads highest version.
  • run_middleware: If True (default), apply the middleware chain. Set to False when called from middleware to avoid re-applying.
  • task_meta: If provided, execute as a background task and return CreateTaskResult. If None (default), execute synchronously and return ResourceResult.
Returns:
  • ResourceResult when task_meta is None.
  • CreateTaskResult when task_meta is provided.
Raises:
  • NotFoundError: If resource not found or disabled
  • ResourceError: If resource read fails

render_prompt

render_prompt(self, name: str, arguments: dict[str, Any] | None = None) -> PromptResult

render_prompt

render_prompt(self, name: str, arguments: dict[str, Any] | None = None) -> mcp.types.CreateTaskResult

render_prompt

render_prompt(self, name: str, arguments: dict[str, Any] | None = None) -> PromptResult | mcp.types.CreateTaskResult
Render a prompt by name. This is the public API for rendering prompts. By default, middleware is applied. Use get_prompt() to retrieve the prompt definition without rendering. Args:
  • name: The prompt name
  • arguments: Prompt arguments (optional)
  • version: Specific version to render. If None, renders highest version.
  • run_middleware: If True (default), apply the middleware chain. Set to False when called from middleware to avoid re-applying.
  • task_meta: If provided, execute as a background task and return CreateTaskResult. If None (default), execute synchronously and return PromptResult.
Returns:
  • PromptResult when task_meta is None.
  • CreateTaskResult when task_meta is provided.
Raises:
  • NotFoundError: If prompt not found or disabled
  • PromptError: If prompt rendering fails

add_tool

add_tool(self, tool: Tool | Callable[..., Any]) -> Tool
Add a tool to the server. The tool function can optionally request a Context object by adding a parameter with the Context type annotation. See the @tool decorator for examples. Args:
  • tool: The Tool instance or @tool-decorated function to register
Returns:
  • The tool instance that was added to the server.

remove_tool

remove_tool(self, name: str, version: str | None = None) -> None
Remove tool(s) from the server. Args:
  • name: The name of the tool to remove.
  • version: If None, removes ALL versions. If specified, removes only that version.
Raises:
  • NotFoundError: If no matching tool is found.

tool

tool(self, name_or_fn: AnyFunction) -> FunctionTool

tool

tool(self, name_or_fn: str | None = None) -> Callable[[AnyFunction], FunctionTool]

tool

tool(self, name_or_fn: str | AnyFunction | None = None) -> Callable[[AnyFunction], FunctionTool] | FunctionTool | partial[Callable[[AnyFunction], FunctionTool] | FunctionTool]
Decorator to register a tool. Tools can optionally request a Context object by adding a parameter with the Context type annotation. The context provides access to MCP capabilities like logging, progress reporting, and resource access. This decorator supports multiple calling patterns:
  • @server.tool (without parentheses)
  • @server.tool (with empty parentheses)
  • @server.tool(“custom_name”) (with name as first argument)
  • @server.tool(name=“custom_name”) (with name as keyword argument)
  • server.tool(function, name=“custom_name”) (direct function call)
Args:
  • name_or_fn: Either a function (when used as @tool), a string name, or None
  • name: Optional name for the tool (keyword-only, alternative to name_or_fn)
  • description: Optional description of what the tool does
  • tags: Optional set of tags for categorizing the tool
  • output_schema: Optional JSON schema for the tool’s output
  • annotations: Optional annotations about the tool’s behavior
  • exclude_args: Optional list of argument names to exclude from the tool schema. Deprecated: Use Depends() for dependency injection instead.
  • meta: Optional meta information about the tool
Examples: Register a tool with a custom name:
@server.tool
def my_tool(x: int) -> str:
    return str(x)

# Register a tool with a custom name
@server.tool
def my_tool(x: int) -> str:
    return str(x)

@server.tool("custom_name")
def my_tool(x: int) -> str:
    return str(x)

@server.tool(name="custom_name")
def my_tool(x: int) -> str:
    return str(x)

# Direct function call
server.tool(my_function, name="custom_name")

add_resource

add_resource(self, resource: Resource | Callable[..., Any]) -> Resource | ResourceTemplate
Add a resource to the server. Args:
  • resource: A Resource instance or @resource-decorated function to add
Returns:
  • The resource instance that was added to the server.

add_template

add_template(self, template: ResourceTemplate) -> ResourceTemplate
Add a resource template to the server. Args:
  • template: A ResourceTemplate instance to add
Returns:
  • The template instance that was added to the server.

resource

resource(self, uri: str) -> Callable[[AnyFunction], Resource | ResourceTemplate | AnyFunction]
Decorator to register a function as a resource. The function will be called when the resource is read to generate its content. The function can return:
  • str for text content
  • bytes for binary content
  • other types will be converted to JSON
Resources can optionally request a Context object by adding a parameter with the Context type annotation. The context provides access to MCP capabilities like logging, progress reporting, and session information. If the URI contains parameters (e.g. “resource://”) or the function has parameters, it will be registered as a template resource. Args:
  • uri: URI for the resource (e.g. “resource://my-resource” or “resource://”)
  • name: Optional name for the resource
  • description: Optional description of the resource
  • mime_type: Optional MIME type for the resource
  • tags: Optional set of tags for categorizing the resource
  • annotations: Optional annotations about the resource’s behavior
  • meta: Optional meta information about the resource
Examples: Register a resource with a custom name:
@server.resource("resource://my-resource")
def get_data() -> str:
    return "Hello, world!"

@server.resource("resource://my-resource")
async get_data() -> str:
    data = await fetch_data()
    return f"Hello, world! {data}"

@server.resource("resource://{city}/weather")
def get_weather(city: str) -> str:
    return f"Weather for {city}"

@server.resource("resource://{city}/weather")
async def get_weather_with_context(city: str, ctx: Context) -> str:
    await ctx.info(f"Fetching weather for {city}")
    return f"Weather for {city}"

@server.resource("resource://{city}/weather")
async def get_weather(city: str) -> str:
    data = await fetch_weather(city)
    return f"Weather for {city}: {data}"

add_prompt

add_prompt(self, prompt: Prompt | Callable[..., Any]) -> Prompt
Add a prompt to the server. Args:
  • prompt: A Prompt instance or @prompt-decorated function to add
Returns:
  • The prompt instance that was added to the server.

prompt

prompt(self, name_or_fn: AnyFunction) -> FunctionPrompt

prompt

prompt(self, name_or_fn: str | None = None) -> Callable[[AnyFunction], FunctionPrompt]

prompt

prompt(self, name_or_fn: str | AnyFunction | None = None) -> Callable[[AnyFunction], FunctionPrompt] | FunctionPrompt | partial[Callable[[AnyFunction], FunctionPrompt] | FunctionPrompt]
Decorator to register a prompt. Prompts can optionally request a Context object by adding a parameter with the Context type annotation. The context provides access to MCP capabilities like logging, progress reporting, and session information. This decorator supports multiple calling patterns:
  • @server.prompt (without parentheses)
  • @server.prompt() (with empty parentheses)
  • @server.prompt(“custom_name”) (with name as first argument)
  • @server.prompt(name=“custom_name”) (with name as keyword argument)
  • server.prompt(function, name=“custom_name”) (direct function call)
Args: name_or_fn: Either a function (when used as @prompt), a string name, or None name: Optional name for the prompt (keyword-only, alternative to name_or_fn) description: Optional description of what the prompt does tags: Optional set of tags for categorizing the prompt meta: Optional meta information about the prompt Examples:
@server.prompt
def analyze_table(table_name: str) -> list[Message]:
    schema = read_table_schema(table_name)
    return [
        {
            "role": "user",
            "content": f"Analyze this schema:
{schema}"
        }
    ]

@server.prompt()
async def analyze_with_context(table_name: str, ctx: Context) -> list[Message]:
    await ctx.info(f"Analyzing table {table_name}")
    schema = read_table_schema(table_name)
    return [
        {
            "role": "user",
            "content": f"Analyze this schema:
{schema}"
        }
    ]

@server.prompt("custom_name")
async def analyze_file(path: str) -> list[Message]:
    content = await read_file(path)
    return [
        {
            "role": "user",
            "content": {
                "type": "resource",
                "resource": {
                    "uri": f"file://{path}",
                    "text": content
                }
            }
        }
    ]

@server.prompt(name="custom_name")
def another_prompt(data: str) -> list[Message]:
    return [{"role": "user", "content": data}]

# Direct function call
server.prompt(my_function, name="custom_name")

mount

mount(self, server: FastMCP[LifespanResultT], namespace: str | None = None, as_proxy: bool | None = None, tool_names: dict[str, str] | None = None, prefix: str | None = None) -> None
Mount another FastMCP server on this server with an optional namespace. Unlike importing (with import_server), mounting establishes a dynamic connection between servers. When a client interacts with a mounted server’s objects through the parent server, requests are forwarded to the mounted server in real-time. This means changes to the mounted server are immediately reflected when accessed through the parent. When a server is mounted with a namespace:
  • Tools from the mounted server are accessible with namespaced names. Example: If server has a tool named “get_weather”, it will be available as “namespace_get_weather”.
  • Resources are accessible with namespaced URIs. Example: If server has a resource with URI “weather://forecast”, it will be available as “weather://namespace/forecast”.
  • Templates are accessible with namespaced URI templates. Example: If server has a template with URI “weather://location/”, it will be available as “weather://namespace/location/”.
  • Prompts are accessible with namespaced names. Example: If server has a prompt named “weather_prompt”, it will be available as “namespace_weather_prompt”.
When a server is mounted without a namespace (namespace=None), its tools, resources, templates, and prompts are accessible with their original names. Multiple servers can be mounted without namespaces, and they will be tried in order until a match is found. The mounted server’s lifespan is executed when the parent server starts, and its middleware chain is invoked for all operations (tool calls, resource reads, prompts). Args:
  • server: The FastMCP server to mount.
  • namespace: Optional namespace to use for the mounted server’s objects. If None, the server’s objects are accessible with their original names.
  • as_proxy: Deprecated. Mounted servers now always have their lifespan and middleware invoked. To create a proxy server, use create_proxy() explicitly before mounting.
  • tool_names: Optional mapping of original tool names to custom names. Use this to override namespaced names. Keys are the original tool names from the mounted server.
  • prefix: Deprecated. Use namespace instead.

import_server

import_server(self, server: FastMCP[LifespanResultT], prefix: str | None = None) -> None
Import the MCP objects from another FastMCP server into this one, optionally with a given prefix. .. deprecated:: Use :meth:mount instead. import_server will be removed in a future version. Note that when a server is imported, its objects are immediately registered to the importing server. This is a one-time operation and future changes to the imported server will not be reflected in the importing server. Server-level configurations and lifespans are not imported. When a server is imported with a prefix:
  • The tools are imported with prefixed names Example: If server has a tool named “get_weather”, it will be available as “prefix_get_weather”
  • The resources are imported with prefixed URIs using the new format Example: If server has a resource with URI “weather://forecast”, it will be available as “weather://prefix/forecast”
  • The templates are imported with prefixed URI templates using the new format Example: If server has a template with URI “weather://location/”, it will be available as “weather://prefix/location/
  • The prompts are imported with prefixed names Example: If server has a prompt named “weather_prompt”, it will be available as “prefix_weather_prompt”
When a server is imported without a prefix (prefix=None), its tools, resources, templates, and prompts are imported with their original names. Args:
  • server: The FastMCP server to import
  • prefix: Optional prefix to use for the imported server’s objects. If None, objects are imported with their original names.

from_openapi

from_openapi(cls, openapi_spec: dict[str, Any], client: httpx.AsyncClient, name: str = 'OpenAPI Server', route_maps: list[RouteMap] | None = None, route_map_fn: OpenAPIRouteMapFn | None = None, mcp_component_fn: OpenAPIComponentFn | None = None, mcp_names: dict[str, str] | None = None, tags: set[str] | None = None, timeout: float | None = None, **settings: Any) -> Self
Create a FastMCP server from an OpenAPI specification. Args:
  • openapi_spec: OpenAPI schema as a dictionary
  • client: httpx AsyncClient for making HTTP requests
  • name: Name for the MCP server
  • route_maps: Optional list of RouteMap objects defining route mappings
  • route_map_fn: Optional callable for advanced route type mapping
  • mcp_component_fn: Optional callable for component customization
  • mcp_names: Optional dictionary mapping operationId to component names
  • tags: Optional set of tags to add to all components
  • timeout: Optional timeout (in seconds) for all requests
  • **settings: Additional settings passed to FastMCP
Returns:
  • A FastMCP server with an OpenAPIProvider attached.

from_fastapi

from_fastapi(cls, app: Any, name: str | None = None, route_maps: list[RouteMap] | None = None, route_map_fn: OpenAPIRouteMapFn | None = None, mcp_component_fn: OpenAPIComponentFn | None = None, mcp_names: dict[str, str] | None = None, httpx_client_kwargs: dict[str, Any] | None = None, tags: set[str] | None = None, timeout: float | None = None, **settings: Any) -> Self
Create a FastMCP server from a FastAPI application. Args:
  • app: FastAPI application instance
  • name: Name for the MCP server (defaults to app.title)
  • route_maps: Optional list of RouteMap objects defining route mappings
  • route_map_fn: Optional callable for advanced route type mapping
  • mcp_component_fn: Optional callable for component customization
  • mcp_names: Optional dictionary mapping operationId to component names
  • httpx_client_kwargs: Optional kwargs passed to httpx.AsyncClient
  • tags: Optional set of tags to add to all components
  • timeout: Optional timeout (in seconds) for all requests
  • **settings: Additional settings passed to FastMCP
Returns:
  • A FastMCP server with an OpenAPIProvider attached.

as_proxy

as_proxy(cls, backend: Client[ClientTransportT] | ClientTransport | FastMCP[Any] | FastMCP1Server | AnyUrl | Path | MCPConfig | dict[str, Any] | str, **settings: Any) -> FastMCPProxy
Create a FastMCP proxy server for the given backend. .. deprecated:: Use :func:fastmcp.server.create_proxy instead. This method will be removed in a future version. The backend argument can be either an existing fastmcp.client.Client instance or any value accepted as the transport argument of fastmcp.client.Client. This mirrors the convenience of the fastmcp.client.Client constructor.

generate_name

generate_name(cls, name: str | None = None) -> str