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
A self-learning MCP server that converts API documentation into executable cURL commands.
Provides an MCP server exposing the about-roland tool to retrieve information about Roland for AI assistants.
Provides MCP endpoints to interact with Google Drive files and Google Sheets data for agent workflows.
Provides a lightweight MCP server that runs the ValJS MCP client via npx, enabling streamlined client interactions.
Provides an MCP server that enables clients to search for related news on the internet.
Provides programmatic access to GitHub actions such as file operations, repo management, and search via MCP
Provides SSH connectivity to remote servers and executes commands via MCP tools (connect_ssh, run_command, disconnect_ssh).
Exposes Notion-based prompt books to MCP clients for discovering, reading, and managing prompts
Provides an MCP server to connect a Spring AI enhanced restaurant booking system with an API-first approach.
Queries Volcengine TOS resources for storage data with tools to list buckets, list objects, and read objects.
Provides an offline MCP server that returns a fox-themed response for fox queries.
A simple MCP server that responds with "It's Party Time" when asked about the current time.
Provides secure, configurable shell command execution on the local system via Claude Desktop with safety checks and limits.
Provides MCP-based access to list, create, read, update, and delete kanban boards
Provides tools to deploy ERC20 tokens, transfer ETH and tokens, and perform batch transfers on Layer 2 networks.
Runs a Java-based MCP server using a local JAR to expose MCP endpoints for testing.
Provides a minimal MCP SSE server to stream model context updates for client testing and learning.
Provides structured thinking and problem-solving capabilities via MCP endpoints for dynamic, reflective tasks.
Locates original TypeScript symbol definitions in your codebase for editor-assisted navigation.
Bridges MCP servers to OpenAI-compatible LLMs for local, configurable model backends.
Provides access to Microsoft Graph user profiles via MCP, enabling readUserProfile actions against local MCP clients.