Browse and discover Model Context Protocol compatible clients.
A secure local sandbox to run LLM-generated code using Apple containers
📄 The PDF intelligence layer for AI agents — Agent Document Twin, evidence-first extraction, visual crops, OCR provenance, trust reports, and benchmark-gated releases. MCP server for Claude, Cursor, VS Code, and any MCP client.
Simple, modular, and observable Go framework for backend applications.
Production-Ready MCP Server Framework • Build, deploy & scale secure AI agent infrastructure • Includes Auth, Observability, Debugger, Telemetry & Runtime • Run real-world MCPs powering AI Agents
A minimalistic MCP client with a good feature set.
Agent samples built using the Strands Agents SDK.
Ollama MCP client: TUI for managing local LLMs. Multi-server, streaming, tool management, & full model config. Dev-focused.
**Concise Descriptions (under 200 characters):** * **OpenMCP client: VS Code extension for MCP development. Streamlines workflow & enhances developer experience.** (100 characters) * **VS Code plugin
A universal CLI client for MCP. mcpc supports persistent sessions, stdio/HTTP, OAuth 2.1, tasks, JSON output for code mode, proxy for AI sandboxes, x402, and more.
LangGraph-powered ReAct agent with Model Context Protocol (MCP) integration. A Streamlit web interface for dynamically configuring, deploying, and interacting with AI agents capable of accessing vario
One memory layer, every AI tool. Store anything once — recall it in Claude, ChatGPT, Cursor, or any MCP client. Self-hosted on Cloudflare's free tier.
**Option 1 (Focus on LLM client):** LLM desktop client leveraging MCP for easy access & use of Large Language Models. **Option 2 (Focus on MCP integration):** MCP-integrated desktop client simplify
Govern, Secure, and Optimize your AI Traffic. AI Gateway provides unified interface to all LLMs using OpenAI API format with a focus on performance and reliability. Built in Rust.
FLUJO is an open-source platform that unifies workflow orchestration, Model-Context-Protocol, and AI tool integration, providing a local interface for managing AI models, MCP servers, and complex workflows. It is powered by PocketFlowFramework.
This repository showcases a Universal Assistant built with LangGraph and Model Context Protocol (MCP), enabling seamless integration of language models with external data sources and tools through a multi-agent workflow.