MCP-Repo2LLM
Transforms code repositories into LLM-friendly formats by intelligently scanning multi-language codebases, preserving context and metadata, and optimizing large-scale processing for enhanced AI model integration using the Model Context Protocol.
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Your GitLab token for accessing GitLab repositories
Your GitHub token for accessing GitHub repositories
Security Notice
Your environment variables and credentials are securely stored and encrypted. LangDB never shares these configuration values with third parties.
Converts Allure test reports into Model Context Protocol (MCP) formats optimized for large language models, enabling efficient AI-driven test analysis, failure pattern identification, and automated debugging insights.
Added May 30, 2025
Convert entire codebases into structured, customizable prompts for large language models by running a local Model Context Protocol (MCP) service that automates code ingestion, filtering, token tracking, and git integration for enhanced AI-driven code analysis and generation.
Added May 30, 2025
Analyzes multi-language codebases to generate detailed dependency graphs, extract file metadata, infer architectural layers, and evaluate code quality against architectural rules using the Model Context Protocol.
Added May 30, 2025
Proof of concept MCP server built on Uber Eats enabling seamless integration between large language models and external tools using the Model Context Protocol for enhanced API-driven workflows.
Added May 30, 2025
Model Context Protocol server offering advanced Google Maps API integration with features for location search, geocoding, distance and directions, and elevation data retrieval enhanced by large language model processing.
7 toolsAdded May 30, 2025