danilop/MCP2Lambda

Run any AWS Lambda function as a Large Language Model (LLM) tool without code changes using Anthropic's Model Context Protocol (MCP).

44
/ 100
Emerging

This project helps developers integrate custom logic and access private data with Large Language Models (LLMs) like Claude or those on Amazon Bedrock. It acts as a bridge, allowing an LLM to "call" your existing AWS Lambda functions as specialized tools. This means an LLM can trigger actions, retrieve information from internal systems, or perform custom computations, with the Lambda function handling the specific task and returning results to the LLM.

110 stars. No commits in the last 6 months.

Use this if you need to extend an LLM's capabilities by allowing it to securely interact with your existing AWS services, private databases, or custom business logic through Lambda functions without changing your function code.

Not ideal if your LLM applications do not require interaction with external, real-time, or private data sources and can operate solely on the information they were trained on.

AWS Lambda Generative AI Integration LLM Tools Cloud Development AI Application Security
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 19 / 25

How are scores calculated?

Stars

110

Forks

22

Language

Python

License

MIT

Last pushed

Mar 27, 2025

Commits (30d)

0

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