329 published MCP servers in this category · page 4 of 6 · all categories
Feature flag service for safe rollouts across the Hive agent fleet
Tamper-evident audit log service for agent-to-agent transactions
Service level agreement monitoring for the Hive agent fleet
Read-only tax event observation for agent-to-agent transaction streams
A2A ZK wallet recovery — guardian swarm, no seed phrase, HiveLaw enforcement
Free AI crawler checks, Agent Surface audits, A2A actions and optional x402 evidence packs.
MCP bridge for autonomous x402 payments in HPP USDC.e — discover and pay for services per call.
HYTHE — coordination bus + shared truth for AI agent fleets — self-hosted MCP server + stdio bridge.
Security co-pilot for AI agents. Scan for vulnerabilities, audit MCP servers, verify governance.
AI agent-to-agent SLA agreements on Base with insurance, reputation, and x402 payments.
Official integrations and installable doctrine for AI Design Blueprint across MCP, IDE rules, prompt files, and agent runtimes.
Multi-Agent AI Orchestration Workshop
Sign in with email or GitHub. Invite others. Agent-to-agent, threaded, async MCP message inbox.
Collaboration rooms for AI agents. SDK + self-hostable server with MCP and A2A support.
A lightweight JVM monitoring and diagnostic MCP (Multi-Agent Communication Protocol) server implementation based on native JDK tools. Provides AI
Hardware-attested Bitcoin escrow that AI agents can use via MCP, LangChain, or CrewAI. No custody, no trust assumptions, no counterparty risk.
Hardware-attested Bitcoin escrow that AI agents can use via MCP, LangChain, or CrewAI. No custody, no trust assumptions, no counterparty risk.
Model Context Protocol (MCP) server with 63 tools for AI cognition, thinking chains, multi-agent coordination, kanban task management, and
Route options, fare estimates, ETA, and ride deeplinks via the KLO Mobility A2A agent.
Shared project memory for Claude Code, Codex and Cursor: decisions and corrections through MCP.
A Model Context Protocol (MCP) server that enables AI agents like Claude Desktop to interact with the Knotie AI Pro platform for automated customer and voice AI agent management.
Pre-diligence AI for founders, investors, and firms — multi-agent pitch analysis and deal flow.
Semantic search for LangChain, LangGraph, LangSmith & DeepAgents docs and source code.
LangGraph implementation interacting with a PostgreSQL MCP Server
Transforms tools designed under the Modular Communication Protocol (MCP) into collaborative agents using the LangGraph framework.
MCPサーバーがClaude DesktopなどのMCPホストに接続されると、以下のような自然言語でリサーチを依頼できます：
Development MCP server for LangGraph checkpoint and store inspection
Multi-agent literature review: research, peer review, and synthesize grounded reports.
LLM Orchestration Agent (Langgraph)
Agent-to-agent marketplace MCP: list skills, buy/sell services, earn gas, cash out BTC.
Search reviewed public A2A Agent Cards and declared skills with read-only MCP tools.
Agent-to-agent marketplace with escrow-protected trades via MCP tools.
makeup.land is an Israeli professional cosmetics retailer. Our MCP server lets AI agents (Claude Desktop, Cursor, ChatGPT browsing, LangGraph apps
Verify an agent fleet's tamper-evident ledger, check budgets, kill a runaway agent. Local-first.
This is our final project , in this we have utlized langgraph coupled with various mcp server mounted of fastapi using fastmcp to create mutlifaceted
This project implements an advanced sequential thinking process using a **Multi-Agent System (MAS)** built with the **Agno** framework and served via
Search all 58 US sex-offender registries — every US state, DC and the territories — from any MCP client: Claude Desktop, Claude Code, or any agent runtime that speaks the Model Context Protocol.
AI integration servers for the OSIR domain registrar. Connect Claude, ChatGPT, or any AI assistant to real domain, DNS, VPS, billing, and account operations — either as individual tools (MCP) or as…
A gateway server that bridges the Model Context Protocol (MCP) with the Agent-to-Agent (A2A) protocol, enabling MCP-compatible AI assistants (like
MCP-based agentic communication framework for multi-agent collaboration
A Python implementation of a state-based agent orchestration system using the Model Context Protocol (MCP).
This project demonstrates a decoupled real-time agent architecture that connects LangGraph agents to remote tools served by custom MCP (Modular
MCP server for AWS Knowledge Base retrieval using Bedrock Agent Runtime
This project sets up a cryptocurrency price lookup service powered by the ALPACA API and built for integration with MCP (Multi-Agent Control Protocol).
A2A MCP & CPG Rails: HBPC (Hygiene + Beauty Personal Care) procurement and ESG.
MCPHub is an embeddable Model Context Protocol (MCP) solution for AI services. Seamlessly integrate MCP servers with OpenAI Agents, LangChain, and
138-tool MCP server for AI agent firms: security, A2A, Hebbian memory, fleet mgmt
Local MCP runtime with multi-agent orchestration, distributed tool servers, ML-powered media recommendations, persistent cross-session memory, and a proactive agent scheduler.
Search engine for AI agents to find MCP servers, A2A agents, and skills on their own.
Track AI agent fleet performance, costs, anomalies, and trends.
An MCP (Model Coordination Protocol) server that allows LLM agents to interact with the AgentOps API for accessing trace data.
This project demonstrates a decoupled real-time agent architecture that connects LangGraph agents to remote tools served by custom MCP (Modular
MCP State Sidecar: durable state persistence for multi-agent AI workflows
This project is a comprehensive exploration and implementation suite for the Model Context Protocol (MCP) combined with Google's Agent-to-Agent (A2A) framework. It demonstrates how to build…
Check an A2A agent before you delegate, or an MCP server's measured conduct. Free, no key.
MemClaw — persistent memory for AI agent fleets (OSS) — Trending history, engagement metrics, and Reddit & Hacker News discussions on Trendshift
Memgate sits in front of the memory your AI agents share. It decides who can read and write what, resolves conflicting writes, and records every operation — so a multi-agent system's memory stays…
The agent-to-agent capability exchange — rent memory, reasoning and safety, settled per call.
Meshimize: Q&A groups, messaging, group discovery, and agent-to-agent delegation
I'm MeshSeeks, look at me! 🟦 A multi-agent mesh network for parallel AI task completion