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fastmcp.server.dependencies

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Functions

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without_injected_parameters 

without_injected_parameters(fn: Callable[..., Any]) -> Callable[..., Any]
Create a wrapper function without injected parameters. Returns a wrapper that excludes Context and Docket dependency parameters, making it safe to use with Pydantic TypeAdapter for schema generation and validation. The wrapper internally handles all dependency resolution and Context injection when called. Args:
  • fn: Original function with Context and/or dependencies
Returns:
  • Async wrapper function without injected parameters

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resolve_dependencies 

resolve_dependencies(fn: Callable[..., Any], arguments: dict[str, Any]) -> AsyncGenerator[dict[str, Any], None]
Resolve dependencies and inject Context for a FastMCP function. This function:
  1. Filters out any dependency parameter names from user arguments (security)
  2. Resolves Docket dependencies
  3. Injects Context if needed
  4. Merges everything together
The filtering prevents external callers from overriding injected parameters by providing values for dependency parameter names. This is a security feature. Args:
  • fn: The function to resolve dependencies for
  • arguments: User arguments (may contain keys that match dependency names, which will be filtered out)

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get_context 

get_context() -> Context

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CurrentContext 

CurrentContext() -> Context
Get the current FastMCP Context instance. This dependency provides access to the active FastMCP Context for the current MCP operation (tool/resource/prompt call). Returns:
  • A dependency that resolves to the active Context instance
Raises:
  • RuntimeError: If no active context found (during resolution)

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CurrentDocket 

CurrentDocket() -> Docket
Get the current Docket instance managed by FastMCP. This dependency provides access to the Docket instance that FastMCP automatically creates for background task scheduling. Returns:
  • A dependency that resolves to the active Docket instance
Raises:
  • RuntimeError: If not within a FastMCP server context

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CurrentWorker 

CurrentWorker() -> Worker
Get the current Docket Worker instance managed by FastMCP. This dependency provides access to the Worker instance that FastMCP automatically creates for background task processing. Returns:
  • A dependency that resolves to the active Worker instance
Raises:
  • RuntimeError: If not within a FastMCP server context

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CurrentFastMCP 

CurrentFastMCP()
Get the current FastMCP server instance. This dependency provides access to the active FastMCP server. Returns:
  • A dependency that resolves to the active FastMCP server
Raises:
  • RuntimeError: If no server in context (during resolution)

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get_server 

get_server()
Get the current FastMCP server instance directly. Returns:
  • The active FastMCP server
Raises:
  • RuntimeError: If no server in context

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get_http_request 

get_http_request() -> Request

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get_http_headers 

get_http_headers(include_all: bool = False) -> dict[str, str]
Extract headers from the current HTTP request if available. Never raises an exception, even if there is no active HTTP request (in which case an empty dict is returned). By default, strips problematic headers like content-length that cause issues if forwarded to downstream clients. If include_all is True, all headers are returned.

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get_access_token 

get_access_token() -> AccessToken | None
Get the FastMCP access token from the current context. This function first tries to get the token from the current HTTP request’s scope, which is more reliable for long-lived connections where the SDK’s auth_context_var may become stale after token refresh. Falls back to the SDK’s context var if no request is available. Returns:
  • The access token if an authenticated user is available, None otherwise.

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Classes

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InMemoryProgress

In-memory progress tracker for immediate tool execution. Provides the same interface as Progress but stores state in memory instead of Redis. Useful for testing and immediate execution where progress doesn’t need to be observable across processes. Methods:

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current 

current(self) -> int | None

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total 

total(self) -> int

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message 

message(self) -> str | None

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set_total 

set_total(self, total: int) -> None
Set the total/target value for progress tracking.

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increment 

increment(self, amount: int = 1) -> None
Atomically increment the current progress value.

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set_message 

set_message(self, message: str | None) -> None
Update the progress status message.

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Progress

FastMCP Progress dependency that works in both server and worker contexts. Extends Docket’s Progress to handle two execution modes:
  • In Docket worker: Uses the execution’s progress (standard Docket behavior)
  • In FastMCP server: Uses in-memory progress (not observable remotely)
This allows tools to use Progress() regardless of whether they’re called immediately or as background tasks.