Discover 141 MCPs built for Anthropic.
Access and search local coding sessions from various AI CLI agents like Claude Code, Gemini CLI, OpenAI Codex, and opencode.
Orchestrates multiple AI models for automated code review, security analysis, and multi-agent consensus within development workflows.
Empowers large language models to continuously learn, synthesize, and leverage knowledge through a lightweight, local-first knowledge management system.
Provides an Anthropic MCP client tailored for macOS.
Manages and serves dynamic prompt templates using Go's text/template engine for Model Control Protocol clients.
Empowers Claude to improve complex reasoning by providing a structured thinking space.
Provides smart checkpointing and undo capabilities for AI agent-driven development within Claude Code, ensuring robust version control and easy recovery from unintended changes.
Demonstrates the use of Model Context Protocol (MCP) server tools with a LangChain ReAct Agent in TypeScript.
Enables LangChain ReAct agents to utilize Model Context Protocol (MCP) server tools.
Enables natural language interaction with databases and subscribed data shares using Anthropic's Model Context Protocol.
Empowers Claude agents with a sophisticated semantic memory system for learning, recall, and knowledge management.
Serves as an MCP server to facilitate the playback and control of movies using VLC media player.
Performs financial analysis by providing access to real-time and historical stock data, along with company fundamentals.
Integrates local Ollama models with Claude, enabling delegation of simpler tasks to conserve tokens for advanced reasoning.
Analyzes open-source projects and assists with codebase integration using Claude's AI capabilities.
Connects Claude Code to local Ollama instances, enabling local model delegation for coding tasks to minimize API token usage.
Enables collaborative user experiences with Claude Desktop by creating a bi-directional bridge to a visual context.
Enables hot-reloading for Model Context Protocol (MCP) servers, allowing dynamic tool loading and instant feedback during development.
Integrates Anthropic's Model Context Protocol with Raycast, allowing you to use MCP tools directly within Raycast AI.
Generates automated mind maps to facilitate studying, reviewing, comparing, and presenting various topics.
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