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A comprehensive Model Context Protocol (MCP) server for accessing the STRING protein interaction database. This server provides powerful tools for protein network analysis, functional enrichment, and comparative genomics through the STRING API.

Enables AI assistants to introspect a Laravel application's routes, models, controllers, migrations, and more through the Model Context Protocol, running locally via php artisan commands and filesystem scanning.

Enables AI agents to interact with Windows operating systems by providing tools for UI automation, file navigation, application control, and system operations. Works with any LLM to perform tasks like clicking, typing, launching applications, and executing PowerShell commands through native Windows integration.

WhiskyHunter MCP.

Jina AI Reader/Search MCP that turns any URL into clean LLM-ready markdown and provides web search.

SPDX open-source license list with full text

Provides persistent memory for AI agents via 10 MCP tools that map to the AgentRAM REST API, enabling store, retrieve, search, and share memories across personal and shared namespaces.

MCP server for organizing Obsidian notes using the Zettelkasten method. Works with Gemini CLI and the included zettelkasten_organizer skill to automatically file notes, create links, and maintain vault structure.

Agent-native search ranked by what actually helps agents complete tasks. No API key, no signup.

An MCP server that gives AI agents genuine 3D spatial understanding of Autodesk Fusion 360, enabling exact measurements, collision analysis, and free-space placement search, plus Fusion-native parametric authoring for clean, human-editable models.

Enables AI assistants to search, create, and manage notes in an Obsidian vault via 40+ local tools.

Vectorize MCP Server provides a bridge between Claude and Vectorize.io's vector database services, enabling advanced retrieval, text extraction, and deep research capabilities. Built with TypeScript, it exposes three primary tools: vector search for retrieving relevant documents from pipelines, text extraction for converting various document formats to Markdown, and deep research for generating comprehensive analyses from document collections. The implementation handles authentication through organization IDs and API tokens, making it particularly valuable for knowledge management, document analysis, and research workflows that require sophisticated vector search capabilities without leaving the conversation interface.

A simple MCP server that provides integer addition functionality. Enables users to perform basic arithmetic operations by adding two integers together through natural language interactions.

Prompt evals over MCP: run a prompt on your dataset, score each output 1-5 with an LLM judge.

Enables searching Zillow for-sale, for-rent, and sold listings with rich filters and retrieving complete property details as structured JSON, with no Zillow account required.

Enables management of App Store Connect operations such as listing apps, managing builds, submitting for review, and handling in-app purchases through Claude Code.

Enables AI agents to create, read, modify, and convert Word documents without Microsoft Word, supporting 18 tools for document operations, paragraph manipulation, table management, formatting, and conversion between multiple formats including PDF, HTML, and Markdown.

Bridges the Model Context Protocol (MCP) with ESP32 devices running Tasmota firmware, enabling LLMs to send structured commands like toggling relays or reading sensors via HTTP.

Fetches, summarizes, and reviews GitHub code diffs with asynchronous processing for large diffs.

Local-first MCP-style code memory for research repositories: enables file search, Python symbol extraction, import graph, and repo context packs.