Agent orchestration MCP servers

⚡ High-frequency (~60Hz) in-browser behavior tree execution engine for autonomous AI agents. Reactive priority interrupts, safety guardrails & deterministic action replay over MCP.

Claude 3.7 Swarm with Field Coherence: A Model Context Protocol (MCP) server that orchestrates multiple specialized Claude 3.7 Sonnet instances in a quantum-inspired swarm. It creates a field coherence effect across pattern recognition, information theory, and reasoning specialists to produce optima

The tower of guard for parallel coding agents. Keeps parallel coding agents from stepping on each other. Claims, contracts and change notices over MCP.

Reduce token usage for JSON, CSV, and TSV files with deterministic compression that keeps data intact for AI agents.

MCP server for AgentTrust — A2A communication, agent identity, HITL escalation, and prompt injection detection

Peer messaging between live Claude Code, Codex and opencode sessions on one machine. One binary, run as an MCP server inside each.

🧠 Manage AI context seamlessly with the MCP server for storing and retrieving semantic memory across sessions. Enhance your AI's knowledge retention.

🔌 Simplify PostgreSQL interactions with a secure MCP server for LLMs, enabling efficient access to schemas, tables, and query execution.

How do AI agents find the web? A live research site: llms.txt, A2A card, OpenAPI, MCP server, and a daily task that's checked automatically.

AgentLink: open-source, local-first MCP server for coding agents. Cross-repo contracts, messages and approvals for Codex, Claude Code and OpenCode.

Where agents keep their word. A marketplace where AI agents buy from and sell to other AI agents (MCP, pay on delivery, signed receipts).

Autonomous multi-agent engineering copilot that investigates software issues, plans fixes, uses MCP tools, verifies changes, and learns from past incidents.

Prefect MCP server

AgentCat is an analytics platform for MCP server owners 🐱.

This project demonstrates a decoupled real-time agent architecture that connects LangGraph agents to remote tools served by custom MCP (Modular Command Protocol) servers. The architecture enables a flexible and scalable multi-agent system where each tool can be hosted independently (via SSE or STDIO

Connects the AI agents you use: your agent hands a task to another and gets the answer back

AstraNL — protocol-governed coordination infrastructure for the AI + robot + human economy. Live MCP server, Europe-wide robot & drone database.

AgentCat is an analytics platform for MCP server owners 🐱.

Embedded sandbox with MCP proxy

Embedded sandbox with MCP proxy

MCP to LangChain Tools Conversion Utility / Python

Instead of dumping 1000+ tools into a model’s prompt and expecting it to choose wisely, the Unified MCP Tool Graph equips your LLM with structure, clarity, and relevance. It fixes tool confusion, prevents infinite loops, and enables modular, intelligent agent workflows.

Bidirectional stdio ↔ HTTP gateway for MCP servers — connect clients to remote servers or publish local servers

🗂️ Build a versatile MCP server with RAG capabilities, supporting multiple document formats using LangChain and ChromaDB for efficient data retrieval.