Other MCP Servers

Dify

171

Enables the invocation of Dify workflows by calling tools using the Model Context Protocol (MCP).

Langchain

170

Enables LangChain integration with Model Context Protocol for tool calling.

Apple Notes

169

Enables AI assistants like Claude to search and reference Apple Notes during conversations using Model Context Protocol.

Gibber

169

Enables end-to-end encrypted communication between LLM agents through cryptographic tools.

Spotify

162

Connects Claude to Spotify, enabling control and information retrieval.

Base

160

Enables onchain interactions for AI applications with tools to interact with the Base Network and Coinbase API.

Twitter

159

Enables interaction with Twitter for posting tweets and searching Twitter.

EVM

159

Enables AI agents to interact with multiple EVM-compatible networks through a unified interface.

Mcp.el

158

Enables Emacs to interface with MCP servers for structured communication and resource management.

Reasoner

158

Enhances Claude Desktop's reasoning capabilities with beam search and Monte Carlo Tree Search.

Systemprompt Multimodal

157

Enables voice-controlled AI workflows using Google Gemini and the Model Control Protocol.

Uber Eats

150

Builds a Model Context Protocol (MCP) server integrated with Uber Eats.

Baidu Maps

146

Provides a set of MCP-compatible APIs for accessing Baidu Maps functionalities, including geocoding, place search, route planning, and more.

Notion

146

Integrates Claude with Notion to manage a personal todo list using natural language commands.

Chat-MCP

146

Provides a cross-platform desktop chat application designed to interact with various LLMs through the Model Context Protocol (MCP).

Armor Crypto

145

Enables access to blockchain interactions, swaps, staking, and crypto trading strategies for AI agents.

Sse Pattern

137

Enables decoupled agent-tool interaction by providing a working pattern for Server-Sent Events (SSE) based Model Context Protocol (MCP) clients and servers.

AWorld

136

Facilitates the building, evaluation, and running of general multi-agent assistance systems.

MoLing

135

Enables system interaction through operating system APIs for file system operations and command execution, functioning as a local office AI assistant.

MemoryMesh

135

Provides structured memory persistence for AI models via a knowledge graph server utilizing the Model Context Protocol (MCP).