109 件の推論 MCP サーバー & クライアント

LANGGRAPH-MCP-AGENTS

serkanyasr

Transforms MCP tools into collaborative agents using the LangGraph framework.

E2B MCP Server

MCP-Mirror

Mirror of

agentic-slackbot

agentika

A simple Slack bot that uses the OpenAI Agents SDK to interact with the Model Context Protocol (MCP) server.

The Superserve MCP server lets any MCP client create and control isolated cloud sandboxes - each one a Firecracker microVM that boots in seconds. Your agent can run shell commands, read and write files, install dependencies, and expose a running server as a public preview URL, th

MCP Dev Brasil — 37 Servers for Agentic Commerce

codespar

37 MCP servers for agentic commerce and Brazilian services. Stripe ACP, x402 (Coinbase), AP2 (Google), Google UCP, plus 14 Brazilian payment rails, fiscal, banking, communication, logistics, ERP, identity, and crypto APIs. ~480 tools. Supports stdio and Streamable HTTP. Published

Sandboxed Python execution for AI agents. Scripts run in ephemeral, isolated environments (bubblewrap on Linux, Docker on macOS) with PEP 723 inline dependencies — zero host pollution, zero leftover venvs, zero package conflicts. Supports multi-version Python (3.13–3.15), configu

Run the weather server in a separate terminal

juananpe

LangGraph agent integrated with MCP (Model Context Protocol) servers for math and weather services

MCP Server for ServiceNow

mady22070

This MCP Server for ServiceNow is designed to be both generic and extensible. It leverages a modular approach to handle a wide range of ServiceNow use cases, from core ITSM operations to advanced CMDB management and dynamic workflow orchestration.

MCP Sandbox: Your JavaScript Module in a Secure Environment 🛡️

TrHung1910

MCP Sandbox transforms JavaScript modules into secure MCP servers, enabling AI systems to access functions safely. With automatic reflection and type inference, it simplifies the integration process for developers. 🛠️💻

Nucleus Brain - Multi-Agent Orchestration

LKGargProjects

🧠 The Core of Your AI Agents

What?

bkakadiya

Sample Application showing Agentic AI using MCP servers interacting with REST Services, Database and File Store

데이터분석 LangGraph Agent (w. Model Context Protocol)

gongwon-nayeon

DataAnalysis Agent using LangGraph & MCP server and client

Ejentum MCP

ejentum

Exposes the four Ejentum cognitive harnesses (reasoning, code, anti-deception, memory) as MCP tools any agentic client can call. Drop-in scaffolding that catches LLM failure modes like sycophancy, hallucination, and reasoning shortcuts.

Blueprint Agentic Staking (Solentic)

blueprint-infrastructure

The only native Solana staking platform purpose-built for AI agents. 30 REST endpoints, 26 MCP tools, A2A agent card with 13 skills, and custom OpenAPI 3.1 spec. Zero-custody architecture returning unsigned transactions for client-side signing. On-chain memo attribution, SHA-256

Agentic News

u00dxk2

AI-powered news intelligence via MCP. 21 tools for personalized monitoring — create AI agents that track any topic 24/7 across thousands of sources. Get deduplicated, AI-analyzed briefings, semantic search, collections, feedback-driven refinement, and custom analysis lenses. Work

Spec Workflow Mcp

kingkongshot

Guide AI to systematically complete software development through a structured **Requirements → Design → Tasks** workflow, ensuring code implementation stays aligned with business needs.

Workflow Commander MCP Server

AndurilCode

An MCP (Model Context Protocol) server that provides structured workflow guidance to guide coding agents through a disciplined development process.

Agentic Trust

subramanya1997

The unified MCP server platform for production AI agents. Enterprise-grade authentication, monitoring, and deployment in minutes.

MCPServer

ganesh-karthick

A Simple MCP Server for enabling agentic workflow

MCP-Agentic-AI

Sumit-Prasad01

Ai agent using MCP server

Safer Agentic AI MCP

NellInc

SaferAgenticAI MCP brings the Safer Agentic AI safety framework to coding assistants over the Model Context Protocol.

LangGraph Agent with MCP

galaxyxyz5

LangGraph Agent that integrates with MCP servers

E2B_MCP

LRriver

Support connecting E2B via MCP, with custom server and client, without the need for tools like the Claude app, Cursor, etc.

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Microsoft Planner (beta): https://www.cdata.com/download/download.aspx?sku=UIZK-V&type=beta

MCP Crew AI Server

adam-paterson

MCP Crew AI Server is a lightweight Python-based server designed to run, manage and create CrewAI workflows.

Mantlekit Launch Planner

gcampton

MantleKit Launch Planner helps founders, freelancers, and agencies turn a plain-English SaaS idea into a launch-ready MantleKit setup plan. It recommends the best tier, theme, feature set, install path, and next steps using MantleKit’s real product structure, pricing, themes, and

Mobile-first, voice-first AI life planner with native MCP. Connect from your AI assistant to read your agenda, create and reschedule tasks, break goals into dated steps across sections, and remember your priorities across sessions. Everything syncs to your real Salta on phone and

A short summary of what the server does. Example: Modular agentic AI workflows for dataset cleaning and orchestration.

Monetize your MCP server with contextual ads. 70% revenue share for developers. 8 tools: search_ads, report_event, create_campaign, create_ad, get_analytics, update_campaign, list_campaigns, get_ad_guidelines.

Orchestrates multiple AI coding agents declaratively to automate software development workflows for engineering teams.

MCP + LangGraph Agent

hirokiyn

LangGraph agent tutorial adapted to use MCP servers.

mcp-server-sandbox

open-mcp-app

install all mcp server in sandbox for remote usage

Arkitect-MCP brings architecture-first reasoning to your AI coding workflow. Instead of jumping straight to refactors, the server scans repo context first — platform, workload, health, and intent — then returns actionable cursorGuidance for the agent to follow.

Orlog — Decision Reasoning Engine

DonMerlin77

Multi-perspective decision reasoning for Claude. When you face a real choice: career, money, relationships, strategy. Orlog examines competing angles and takes a clear position, not a hedge. Get an API key at orlog.fyi.

Cline MCP Server

mows21

Cline MCP Server - Internal workflow orchestration for agentic tasks

MCP Agentic Workflow Visualization

chrisrafuse

3D visualization of a document processing MCP(Model Contect Protocol) client-server workflow.

🤖 MCP Server Examples with AutoGen

SaM-92

This repository demonstrates how to use AutoGen to integrate local and remote MCP (Model Context Protocol) servers. It showcases a local math tool (math_server.py) using Stdio and a remote Apify tool (RAG Web Browser Actor) via SSE for tasks like arithmetic and web browsing.

mcp-blackboard

peekwez

An MCP server for managing context and memory for a multi-agent task execution based on agentic directed acyclic graph

Wever Labs Agentic Rails

CodeWever

Commercial trust rails for agent work: scoped work orders, rail execution, receipt verification, Trust Ledger records, and Agent Work History.

MCP-RoCQ (Coq Reasoning Server)

angrysky56

RoCQ (Coq Reasoning Server)

Setup

jack-scott

Playing around with different ways to implement MCP servers

Cool Workflow keeps AI agent work in order. It saves signed JSON reports with citations and checks, and can run as an MCP server.