generated: '2026-06-20'
method: searched
status: published
source: https://awslabs.github.io/mcp/servers/lambda-tool-mcp-server
description: Official AWS Labs MCP server that turns AWS Lambda functions into MCP tools. It acts as a
  bridge between MCP clients and Lambda, letting generative-AI models select and invoke Lambda functions
  as tools with no function code changes. Tools are discovered dynamically from the caller's account rather
  than being a fixed list; the server needs IAM permission to invoke the functions it exposes.
server:
  name: awslabs.lambda-tool-mcp-server
  vendor: AWS Labs
  transport: stdio
  install: uvx awslabs.lambda-tool-mcp-server@latest
  registry: pypi
  package_url: https://pypi.org/project/awslabs.lambda-tool-mcp-server/
  repo: https://github.com/awslabs/mcp/tree/main/src/lambda-tool-mcp-server
tool_discovery:
  model: dynamic
  description: Each exposed tool corresponds to a Lambda function; the tool description is sourced from
    the function's Lambda description property.
  filters:
  - FUNCTION_PREFIX
  - FUNCTION_LIST
  - FUNCTION_TAG_KEY
  - FUNCTION_TAG_VALUE
related_servers:
- name: run-mcp-servers-with-aws-lambda
  description: Run existing stdio-based MCP servers inside AWS Lambda functions (Streamable HTTP via API
    Gateway / Lambda function URLs with SigV4, or direct Invoke).
  repo: https://github.com/awslabs/run-model-context-protocol-servers-with-aws-lambda
  registry: pypi
  package_url: https://pypi.org/project/run-mcp-servers-with-aws-lambda/
- name: awslabs.aws-serverless-mcp-server
  description: AWS Serverless MCP server for AI-powered serverless application development.
  source: https://aws.amazon.com/blogs/compute/introducing-aws-serverless-mcp-server-ai-powered-development-for-modern-applications/
deployment:
  mode: local-stdio
  verified: searched
  checked: '2026-08-12'
  source: catalog MCP census