Model Context Protocol servers let AI agents reach beyond the codebase. They connect your agent to external APIs, databases, search engines, and services through a standardized protocol, so the agent can actually take action, not just write code.
1084 servers
The Odoo MCP that survives Odoo 20. Five-minute install. Zero Odoo-side setup. Safe writes, real diagnostics, JSON-2 ready. Odoo MCP turns any Odoo 16+ database into a Model Context Protocol server — using only your existing credentials. No App Store module, no permission setup, no admin access required. Built for local agents, IDEs, and automation tools that need real Odoo context without hand-ro
an mcp server for vikingdb store and search VikingDB is a high-performance vector database developed by ByteDance. You can easily use it following the doc bellow: The server implements the following tools: - vikingdb-colleciton-intro: introduce the collection of vikingdb - vikingdb-index-intro: introduce the index of vikingdb - vikingdb-upsert-information: upsert information to vikingdb for later
MCP (Model Context Protocol) server for Biothings.io This server implements the Model Context Protocol (MCP) for BioThings, providing a standardized interface for accessing and manipulating biomedical data. MCP enables AI assistants and agents to access specialized biomedical knowledge through structured interfaces to authoritative data sources. Supported BioThings data sources include: - mygene.i
English | 日本語 mcp-alphabanana is a Model Context Protocol (MCP) server for generating image assets with Google Gemini. It is built for MCP-compatible clients and agent workflows that need fast image generation, transparent outputs, reference-image guidance, and flexible delivery formats. Keywords: MCP server, Model Context Protocol, Gemini AI, image generation, FastMCP Key capabilities: - Ultra-fa
A Model Context Protocol (MCP) server for querying NIST National Vulnerability Database (NVD) API endpoints. This MCP server exposes tools to query the NVD/CVE REST API and return formatted text results suitable for LLM consumption via the MCP protocol. It includes automatic query chunking for large date ranges and parallel processing for improved performance. Base API docs: https://nvd.nist.gov/d
mcp-recon bridges the gap between natural language and HTTP infrastructure analysis. It exposes reconnaissance tools through the Model Context Protocol (MCP), allowing you to perform web domain reconnaissance via any compatible AI interface, such as Claude Desktop. - Conversational Commands: Execute reconnaissance through simple text prompts - MCP Server: Integrates with Claude Desktop or other MC
A Model Context Protocol (MCP) server acts as a bridge between AI-powered tools and your PythonAnywhere account, enabling secure, programmatic management of files, websites, webapps, and scheduled tasks. By exposing a standardized interface, it allows language models and automation clients to perform operations—such as editing files, deploying web apps, or scheduling jobs -- on your behalf, all wh
A Model Context Protocol (MCP) server that enables AI assistants like Claude to interact with your Obsidian vault. Access your notes, create content, manage tags, and search your knowledge base through natural conversation. - CRUD Operations: Create, read, update, and delete notes (with safety confirmation) - Write Modes: Overwrite, append, or prepend content - Batch Reading: Read multiple notes i
Drive four external coding CLIs — Google's Antigravity (Gemini 3.6 Flash), OpenAI Codex, the GitHub Copilot CLI, and Cursor — as sub-agents inside Claude Code. Text answers, image generation, real repo work, and parallel swarms, on quota you already pay for. One MCP server, four backends. It exposes Google Antigravity, OpenAI Codex, the GitHub Copilot CLI, and Cursor to Claude Code as clean MCP to
MCP server enabling AI agents to interact with terminal applications through structured Terminal State Tree representation. Works with any AI assistant that supports the Model Context Protocol. Download pre-built binaries from Releases. Add to ~/.claude.json (macOS/Linux) or %APPDATA%\Claude\claudedesktopconfig.json (Windows): Add to ~/.codex/config.toml: VS Code 1.101+ supports MCP. Add to your V
Give Claude access to all 200+ AWS services through the AWS CLI. This MCP server lets Claude run AWS CLI commands on your behalf. Instead of wrapping each AWS API individually, it wraps the CLI itself—giving Claude complete AWS access through just two tools: Claude learns commands on-demand using --help, then executes them. Your IAM policy controls what it can actually do. - Streamable HTTP transp
Welcome to the Storybook MCP Addon monorepo! This project enables AI agents to work more efficiently with Storybook by providing an MCP (Model Context Protocol) server that exposes UI component information and development workflows. This monorepo contains two main packages: - @storybook/mcp - Standalone MCP library for serving Storybook component knowledge (can be used independently) - @storybook/
Markmap MCP Server is based on the Model Context Protocol (MCP) that allows one-click conversion of Markdown text to interactive mind maps, built on the open source project markmap. The generated mind maps support rich interactive operations and can be exported in various image formats. - 🌠 Markdown to Mind Map: Convert Markdown text to interactive mind maps - 🖼️ Multi-format Export: Support for
Agent Interviews is a cutting-edge AI interview-as-a-service platform that helps companies streamline their technical assessment process. Our platform allows you to: - Create AI interviewers tailored to specific roles and skills - Conduct consistent, bias-reduced technical interviews at scale - Collect structured data on candidate performance - Save engineering time while maintaining high hiring s
This repository hosts the official NebulaBlock API Model Context Protocol (MCP) server. This server integrates with the fastmcp library to expose the full range of NebulaBlock API functionalities as accessible tools, enabling seamless and efficient interaction within any MCP-compatible environment. src/: Contains the main application source code, including configuration and tool definitions. tests
The implementation of Model Context Protocol (MCP) server for VictoriaMetrics. This provides access to your VictoriaMetrics instance and seamless integration with VictoriaMetrics APIs and documentation. It can give you a comprehensive interface for monitoring, observability, and debugging tasks related to your VictoriaMetrics instances, enable advanced automation and interaction capabilities for e
A Model Context Protocol (MCP) server that provides intelligent search capabilities for discovering relevant Claude Agent Skills using vector embeddings and semantic similarity. This server implements the same progressive disclosure architecture that Anthropic describes in their Agent Skills engineering blog, making specialized skills available to any MCP-compatible AI application. An open-source
A Model Context Protocol (MCP) server for Microsoft Bing Search API integration, allowing AI assistants to perform web, news, and image searches. - Web search for general information - News search for recent events and timely information - Image search for visual content - Rate limiting to prevent API abuse - Comprehensive error handling - Python 3.10 or higher - Microsoft Bing Search API key - MC
MCP (Model Context Protocol) server for the gget bioinformatics library. This server implements the Model Context Protocol (MCP) for gget, providing a standardized interface for accessing powerful bioinformatics tools and databases. MCP enables AI assistants and agents to perform complex genomics queries through structured interfaces. The gget bioinformatics toolkit provides efficient querying of
MCP Unity is an implementation of the Model Context Protocol for Unity Editor, allowing AI assistants to interact with your Unity projects. This package provides a bridge between Unity and a Node.js server that implements the MCP protocol, enabling AI agents like Cursor, Windsurf, Claude Code, Codex CLI, GitHub Copilot, and Google Antigravity to execute operations within the Unity Editor. MCP Unit
The dicom-mcp server enables AI assistants to query, read, and move data on DICOM servers (PACS, VNA, etc.). 🤝 Contribute • 📝 Report Bug • 📝 Blog Post 1 dicom-mcp provides tools to: 🔍 Query Metadata: Search for patients, studies, series, and instances using various criteria. 📄 Read DICOM Reports (PDF): Retrieve DICOM instances containing encapsulated PDFs (e.g., clinical reports) and extract
This is a Model Context Protocol (MCP) server that supports remote MCP connections, with Strava OAuth built-in. It allows users to connect to your MCP server by signing in with their Strava account. The MCP server (powered by Cloudflare Workers) serves two roles: - Acts as an OAuth Server for your MCP clients - Acts as an OAuth Client for Strava's OAuth services This project serves as a reference
A Model Context Protocol (MCP) server and command-line interface for Apollo.io. This package provides: - MCP Server: Integrates Apollo.io with Claude Desktop for conversational access to B2B data - CLI Tool: Command-line interface for direct API access via terminal Both tools provide access to Apollo's comprehensive B2B database for people and company search, enrichment, and insights. - Apollo.io
An MCP server providing tools for AI agents to mint ERC-20 tokens, supporting 21 blockchains. - Deploy new ERC-20 tokens with customizable parameters. - Query token metadata (name, symbol, decimals, total supply). - Initiate token transfers (returns transaction hash without confirmation). - Retrieve transaction details by hash. - Check native token balance of the current account. - Access token me