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    Stop grepping. Start knowing. EdgeHop turns a codebase into a queryable graph and serves it over MCP — find where a symbol lives, who calls a function, the type hierarchy, and the shortest path between two symbols, resolved from the compiler's semantic model instead of text search. Language support is pluggable: C#/Razor and JavaScript/TypeScript today, with more extractors on the way — and it re
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    Apache 2.0
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    A TypeScript server that integrates Google's Gemini Pro model with Claude Desktop through the Model Context Protocol, allowing Claude users to access Gemini's text generation capabilities.
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    MIT
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    A small, readable MCP learning project implemented in TypeScript that uses a local JSON notebook to demonstrate core MCP features such as tools, resources, prompts, sampling, and notifications.
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    A comprehensive MCP server for checking package versions and rating package quality across Python (PyPI), JavaScript/TypeScript (npm), Dart (pub.dev), and Rust (crates.io) ecosystems.
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    MIT
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    A pure-TypeScript MCP server for Google NotebookLM using the batchexecute RPC protocol. Enables management of notebooks, sources, chat, and artifact generation with no Python dependencies.
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    MIT
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    Enables LLMs to run Biome formatting, linting, and assist checks on TypeScript/web projects with token-efficient, structured output, plus searchable cached Biome documentation.
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    Apache 2.0
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    Model Context Protocol (MCP) server implementation for DataForSEO, enabling AI assistants to interact with selected DataForSEO APIs and obtain SEO data through a standardized interface.
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    Apache 2.0
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    Enables AI agents to safely upgrade JavaScript and TypeScript projects through dependency analysis, upgrade path detection, breaking change identification, codemod application, and PR summary generation.
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    MIT
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    A TypeScript MCP server that provides integration with GitLab's REST API, allowing users to interact with GitLab projects, issues, merge requests, pipelines, and more through natural language.
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    MIT
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    Provides comprehensive filesystem operations, text search/replace, image processing, and Tesseract OCR capabilities for AI agents via the Model Context Protocol.
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    Apache 2.0