MCP Servers for AWS Lambda

AWS Lambda is a serverless compute service that lets you run code without provisioning or managing servers, creating workload-aware cluster scaling logic, maintaining event integrations, or managing runtimes.

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  • Why this server?

    Allows models to invoke AWS Lambda functions as tools without code changes. Functions can be auto-discovered by the model, and their descriptions are used to inform the model about their capabilities. The Lambda functions can access AWS services, private networks, and the public internet.

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    Enables AI models to interact with AWS Lambda functions seamlessly as tools using the Model Control Protocol (MCP), supporting real-time data access, private networks, and custom computational tasks.
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    42
    Python
    MIT License
  • Why this server?

    Allows LLMs to use AWS Lambda functions as tools, enabling models to execute code in Lambda environments, access real-time data, interact with AWS services, and perform specialized calculations without code changes. The server acts as a bridge between MCP clients and Lambda functions.

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    Enables AI models to interact with AWS Lambda functions via the MCP protocol, allowing access to private resources, real-time data, and custom computation in a secure environment.
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    42
    Python
    MIT License
  • Why this server?

    Supports integration with AWS Lambda functions through the Python library for using Dart functionality in serverless environments

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    A Dart-based MCP server implementation that enables AI-assisted task management, document handling, and workspace organization through standardized tools and seamless Dart integration.
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    JavaScript
    MIT License
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