Find the best MCP servers to give your AI agents external tools.
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MCP Servers Database
Find the best MCP servers to give your AI agents external tools.
12916 MCP servers
Bridges a telnet-based BBS to MCP clients with full terminal emulation, auto-learning, and session logging.
Provides a Docker-enabled MCP server for Tiendanube/Nuvemshop with SSE and HTTP transports to manage products, orders, customers, and more.
Exposes Zotero passage chunks via MCP for precise retrieval with context using Gemini embeddings.
Provides OpenClaw and Moltbook actions to MCP clients via a local Python-based MCP server.
Provides a YouTube search and playlist playback MCP server for AI agents via natural language commands.
Provides a Botmadang MCP endpoint that enables feed viewing, posting, commenting, and voting within Korean SNS communities.
Provides semantic code search over Python, Rust, and Markdown with incremental indexing and local vector storage.
Launch Lakeflow compute jobs by spawning scalable runs via an MCP server with per-run arguments and secure environment handling.
Provides an MCP interface to Moltbook data, enabling agents to fetch posts, create posts, comment, vote, search, and manage profiles.
Provides an MCP server that parses Xcode and Swift build outputs, executes builds, and returns token-efficient results for AI coding assistants.
Provides programmatic access to Remember The Milk actions via MCP, enabling natural language task management with full API coverage.
Provides image processing, OCR, generation, and editing via MCP with a simple HTTP endpoint and local runtime.
Provides citation verification against Semantic Scholar and DBLP, plus URL validation for BibTeX references.
Provides a Model Context Protocol MCP server to capture HTTP requests, emails, and DNS lookups for testing webhooks and API callbacks.
Provides access to enterprise data APIs via MCP endpoints for AI-driven analysis and decision making.
Provides Claude with read-only and write-enabled access to Pipedrive data via MCP tools, with rate limiting, caching, and structured prompts.
Provides programmatic access to NOAA ENC data with S-57 parsing, coordinate-based discovery, caching, and feature extraction.
Provides programmatic access to GitLab projects via MCP, enabling project management, file operations, issues, merge requests, and more.
Provides an MCP bridge to run EPA SWMM models through an MCP client for streamlined hydrologic simulations.
Provides a temporal knowledge graph with MCP integration for Claude Desktop/Code to manage decisions, patterns, and failures over time.
Provides MCP-accessible Haloscan SEO data via tools and prompts for automated SEO tasks.