MCP (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.
957 servers
A Model Context Protocol (MCP) server that provides comprehensive access to the UCSC Genome Browser API. This server enables LLM applications to query genomic data, sequences, tracks, and metadata from the UCSC Genome Browser. This MCP server exposes 12 tools that cover all major UCSC Genome Browser API endpoints: - findgenome - Search for genomes using keywords, accession IDs, or organism names -
Generate MCP tool definitions directly from a Swagger/OpenAPI specification file. OpenAPI-MCP is a dockerized MCP server that reads a swagger.json or openapi.yaml file and generates a corresponding Model Context Protocol (MCP) toolset. This allows MCP-compatible clients like Cursor to interact with APIs described by standard OpenAPI specifications. Now you can enable your AI agent to access any AP
Cross-platform MCP (Model Context Protocol) server exposing LLM-accessible tools to list and kill OS processes via natural language queries. Perfect for shy ninjas who just want rogue processes gone: "Find and nuke the damn CPU glutton choking my system!" The following tools are exposed to MCP clients: - processlist: Lists running processes sorted by CPU or memory with optional name, user, status,
A secure Model Context Protocol (MCP) server implementation for executing controlled command-line operations with comprehensive security features. 1. Overview 2. Features 3. Configuration 4. Available Tools - runcommand - showsecurityrules 5. Usage with Claude Desktop - Development/Unpublished Servers Configuration - Published Servers Configuration 6. Security Features 7. Error Handling 8. Develop
An MCP (Model Context Protocol) server that provides tools for querying OCI registries and image references. This project implements an SSE-based MCP server that allows LLM-powered applications to interact with OCI registries. It provides tools for retrieving information about container images, listing tags, and more. - Get information about OCI images - List tags for repositories - Get image mani
- ✅ Claude Code Integration - Optimized for use with Anthropic's Claude Code CLI - ✅ SSH Tunnel Support - Built-in support for SSH tunnels to remote databases - ✅ Auto-start/stop Hooks - Automatic tunnel management with Claude start/stop - ✅ DDL Operations - Added MYSQLDISABLEREADONLYTRANSACTIONS for CREATE TABLE support - ✅ Multi-Project Setup - Easy configuration for multiple projects with diffe
An MCP server for JupyterCAD that allows you to control it using LLMs/natural language. Suggestions and contributions are very welcome. The default transport mechanism is stdio. To start the server with stdio, use the following command: To use the streamable-http transport, use this command instead: An example using the OpenAI Agents SDK is available at examples/openaiagentsclient.py. To run it, f
A Model Context Protocol (MCP) server for bulk Spotify operations - batch playlist creation, library exports, and large-scale library management. What makes this different from other Spotify MCPs? - Confidence scoring - Batch searches return HIGH/MEDIUM/LOW confidence for each match - Human-in-the-loop - Uncertain matches are exported for review, then re-imported - Bulk operations - Handle 500+ so
MCP server for transferring conversation context between AI chats or different projects within the same AI. - Audit Logging (v0.7.0+): Optional structured JSONL logging for diagnostics (--audit flag) - Verbatim Conversation Saving (v0.6.1+): AI saves complete conversations without summarization or abbreviation - Merge Handoffs (v0.6.0+): Combine multiple related handoffs into one unified context -
A comprehensive Model Context Protocol (MCP) server that provides access to essential network operations and infrastructure tools through a standardized interface. - Ping: Test host connectivity with customizable packet count and timeout - Traceroute: Trace network path with configurable max hops - MTR: Monitor network path with real-time statistics - Telnet: Test port connectivity using telnet -
A Deno monorepo containing packages for JSR (JavaScript Registry) access: - @wyattjoh/jsr - Core library for JSR API access - @wyattjoh/jsr-mcp - Model Context Protocol (MCP) server for LLM integration - Search packages across the JSR registry - Get package details, versions, and dependencies - Manage scopes and package publishing - Handle member invitations and permissions - Access registry stati
A lightweight Node MCP server around the kagi-ken package, providing access to Kagi.com services using Kagi session tokens: - Search: Searches Kagi - Summarizer: Uses Kagi's Summarizer to create summaries from URLs or text content Unlike the official Kagi API which requires API access, this MCP server uses your existing Kagi session to access both search and summarization features. "Kagi-ken" is a
mcp-name: io.github.henilcalagiya/google-sheets-mcp Google Sheets MCP Server provides seamless integration of Google Sheets with any MCP-compatible client. It enables full spreadsheet automation — including creating, reading, updating, and deleting sheets — through a simple and secure API layer. - Full CRUD support for Google Sheets and tables - Works with Continue.dev, Claude Desktop, Perplexity,
An MCP server for Hydrolix. runselectquery Execute SQL queries on your Hydrolix cluster. Input: sql (string): The SQL query to execute. listdatabases List all databases on your Hydrolix cluster. List all tables in a database. Input: database (string): The name of the database. gettableinfo Get table metadata such as schema Input: database (string): The name of the database. Input: table (string):
An MCP server that executes SQL via ConnectorX and streams the result to CSV or Parquet in PyArrow RecordBatch chunks. Output formats: csv or parquet CSV: UTF-8, header row is always written Parquet: PyArrow defaults; schema mismatch across batches raises an error Return value: the string "OK" on success, or "Error: " on failure On failure the partially written output file is deleted CSV token cou
Framelink MCP for Figma Give your coding agent access to your Figma data. Implement designs in any framework in one-shot. Give Cursor and other AI-powered coding tools access to your Figma files with this Model Context Protocol server. When Cursor has access to Figma design data, it's way better at one-shotting designs accurately than alternative approaches like pasting screenshots. See quickstart
A Model Context Protocol (MCP) server that provides AI-powered search and querying capabilities for the Vercel AI SDK documentation. This project enables developers to ask questions about the Vercel AI SDK and receive accurate, contextualized responses based on the official documentation. - Direct Documentation Search: Query the Vercel AI SDK documentation index directly using similarity search -
A Model Context Protocol server for document format conversion using pandoc. This server provides tools to transform content between different document formats while preserving formatting and structure. Please note that mcp-pandoc is currently in early development. PDF support is under development, and the functionality and available tools are subject to change and expansion as we continue to impr
A Model Context Protocol (MCP) server that enables Claude Desktop (and other MCP clients) to generate images, videos, music, and audio using Fal.ai models. - Native Async API - Uses falclient.runasync() for optimal performance - Queue Support - Long-running tasks (video/music) use queue API with progress updates - Non-blocking - All operations are truly asynchronous - STDIO - Traditional Model Con
The Firefly MCP (Model Context Protocol) server is a TypeScript-based server that enables seamless integration with the Firefly platform. It allows you to discover, manage, and codify resources across your Cloud and SaaS accounts connected to Firefly. - 🔍 Resource Discovery: Find any resource in your Cloud and SaaS accounts - 📝 Resource Codification: Convert discovered resources into Infrastruct
A powerful and efficient Blockchain address risk scoring API MCP Server, leveraging the BICScan API to provide comprehensive risk assessments and asset information for blockchain addresses, domains, and decentralized applications (dApps). - Risk Scoring: Obtain risk scores for various blockchain entities, including crypto addresses, domain names, and decentralized application URLs, with scores ran
An open-source Model Context Protocol (MCP) server that connects AI agents to the Counsel API for strategic reasoning and multi-perspective analysis. - Hosted & Self-Hosted - Use the hosted server instantly or run your own instance - Strategic Reasoning - Access Counsel's debate and multi-perspective reasoning engines - Advisor Sessions - Run interactive intake and profile tuning sessions - Native
Give any AI the ability to build, validate, and deploy production multi-agent systems. This is an MCP server that connects AI assistants — ChatGPT, Claude, Gemini, Copilot, Cursor, Windsurf, and any MCP-compatible environment — directly to the ADAS platform. An AI developer says "Build me a customer support system with order tracking and escalation" — and their AI assistant handles the entire life
A Model Context Protocol (MCP) server implementation for running k6 load tests. - Simple integration with Model Context Protocol framework - Support for custom test durations and virtual users (VUs) - Easy-to-use API for running k6 load tests - Configurable through environment variables - Real-time test execution output Before you begin, ensure you have the following installed: - Python 3.12 or hi