MCP server providing LangGraph agent patterns and code snippets. Use with Claude Desktop, Cursor, or any MCP client.

An intelligent Model Context Protocol (MCP) server for Azure AI Search integration with Claude Desktop - Transform enterprise document search into natural AI conversations using LangGraph workflows, Google Gemini, and advanced retrieval-augmented generation (RAG).

MCP-powered ✈️ AI Travel Planner that turns a simple request into a complete trip plan with flights, hotels, itineraries, budgets & packing lists. 🤖 Built with LangGraph multi-agents, Groq, Tavily, AviationStack, FastAPI & PostgreSQL. 🌍🚀

Successfully developed a state-of-the-art AI-driven credit underwriting engine using LangGraph and FastMCP that orchestrates multiple specialized agents to evaluate risk, detect fraud, and generate explainable credit decisions, delivering transparent, auditable, and tailored financial solutions with unmatched efficiency.

An opinionated development framework for building production-ready AI agents with LangGraph. It grounds AI coding assistants (Cursor, Windsurf, Cline) and guides them to use local, official documentation, ensuring reliable, secure, and observable agentic workflows.

MCP Server & Agentic Workflows is a multi-system AI platform built under Scrum of Scrums (SPM) that integrates RAG, agentic workflows, and autonomous decision graphs using MCP Server and LangGraph to deliver end-to-end research and business intelligence automation.

Successfully developed a Travel Planner Assistant powered by LangGraph and MCP, integrating real-time flights, hotels, weather, places, and timezone tools. Features modular MCP servers, OpenAI agent orchestration, and a Streamlit UI for end-to-end trip planning.

An async multi-agent learning roadmap planner built with LangChain, LangGraph, Tavily, and a custom FastMCP course server.

Servidor MCP e agente LangGraph que transformam texto em notas do Obsidian, com guardrail contra prompt injection e checagem de fidelidade · Python · MCP · LangGraph

App built using MCP architecture and AI agents using LangGraph

学术科研辅助工作流：编排论文检索、摘要整理与引用生成，支持工具调用追踪和失败回退。LangGraph + MCP + FastAPI。

Customer Intelligence Hub: AI Agents for CRM Analytics, Slack & Marketing Automation | LangGraph & MCP

一个基于 LangGraph 的航空工作流智能体，用于航班搜索、预订操作和政策问答。具备人工介入审批、自愈和幂等执行等特性。

A simple MCP server and LangGraph based Agent to manage Kubernetes environment

winnow — 把群聊噪声压缩为结构化知识：LangGraph 降噪管道 + L3 知识层 + MCP 接口 + 长期群记忆

Autonomous Legal Contract Risk Intelligence Microservice with LangGraph, Qdrant Hybrid Search, and MCP Tools

AI smart home assistant for Home Assistant: LangGraph agent + MCP tools + RAG knowledge graph + vision perception

A LangGraph-powered MCP server for natural language SQL with human-in-the-loop approval for database write operations.

Persistent Coordination and Memory Layer for AI Coding Agents powered by langGraph.

LangGraph agent over the Bitext support dataset: LLM routing, tool calling, SQLite memory, MCP server, Streamlit UI

Institutional memory engine for AI agents — compiled Rust MCP server with adapters for Hermes, CrewAI, LangGraph, Haystack, OpenHands, MS Agent Framework, and Google ADK

Agentic reconciliation-break triage system — bounded LangGraph state machine, MCP trust-boundary tool split, human-approval interrupt, and a real eval harness.

Multi-agent coordination engine for AI frameworks — compiled Rust MCP server with adapters for Hermes, CrewAI, LangGraph, Haystack, OpenHands, MS Agent Framework, and Google ADK

Multi-agent AI system built with LangGraph, LangChain, Groq, and MCP for automated research, analysis, content generation, and iterative quality review.

Universal MCP tool gateway for AI agent frameworks — compiled Rust server with adapters for Hermes, CrewAI, LangGraph, Haystack, OpenHands, MS Agent Framework, and Google ADK

Open multi-provider travel intelligence and itinerary orchestration platform built with MCP and LangGraph - live flight/hotel/FX/routing data, never fabricated.

Multi-server MCP agent: AeroAPI live flight data + BigQuery catalog, orchestrated with LangGraph and Ollama local inference. FastMCP · mcp-use · qwen2.5

Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.

Zero-dependency CRDT shared state & conflict-resolution MCP server + Python adapters for parallel Claude Code, Cursor, LangGraph, CrewAI, and AutoGen agents.

A streaming AI “Chef” agent using FastAPI/FastMCP, LangGraph workflows, LangChain and a Neo4j‑backed recipe knowledge graph to support real‑time recipe querying, web scraping, dynamic graph updates, and personalized memory.

An intelligent research assistant that searches, analyzes, and writes academic papers using a Retrieval-Augmented Generation (RAG) pipeline. Built with LangGraph, FAISS vector database,MCP and Google Gemini.

MCP server that scores your resume against a job posting, tailors it from your own evidence, and renders an ATS-ready PDF. Built on LangGraph. Never fabricates.

A backend only, multi agent clinical operations system built with TypeScript, Google Gemini, LangGraph, MCP, PostgreSQL, Redis, FHIR, and openEHR.

MCP server exposing Freqtrade backtesting, hyperopt and market-data tools to Claude and other LLM clients, plus a LangGraph agent that generates and optimizes trading strategies

Production multimodal enterprise search & Corrective RAG (CRAG) platform. 5-agent LangGraph orchestration, dynamic query rewriting, Docling layout parsing, Groq Whisper-v3, Qdrant hybrid search, and NeMo guardrails. 298 tests.

LangGraph ReAct agent that reviews GitHub PRs — fetches diffs, retrieves similar past reviews via pgvector, posts context-aware comments through a custom MCP server, and learns from user feedback. Deployed on Cloud Run.

Production-grade GraphRAG system: hybrid retrieval (vector + BM25 + knowledge graph), reranking, grounded cited answers with refusal, SSE streaming, and an MCP server, built with FastAPI, LangChain, LangGraph, Qdrant, and React.

A股多Agent量化交易决策框架 — LangGraph 15位AI分析师辩论式分析，反思闭环+Token优化，支持DeepSeek/Qwen/GLM，附零依赖MCP server | Multi-agent A-share trading framework with reflection loop & MCP server

AI Chat Workspace powered by Next.js and FastAPI. Features persistent PostgreSQL LangGraph checkpointers, multi-document RAG context searches via FAISS, and a custom GitHub MCP (Model Context Protocol) tool server using Gemini AI.

RAG + agentic AI assistant for ServiceNow ITOM: answers from the docs, then raises and manages real incidents via LangGraph and MCP. FastAPI · Pinecone · Gemini · Next.js

Self-corrective Agentic RAG with LangGraph - eliminates hallucinations through intelligent relevance grading before answering. Features Streamlit UI, MCP server integration & multi-turn memory.

LangGraph agent with Docker-based sandboxed code execution (Python, Node.js, R). Hardened containers with persistent kernels, vision support, provider-agnostic LLMs, cross-session file transfer, and session GC. Available as CLI, MCP server, REST API (Aegra), and Streamlit UI.

An agent-driven weather web application that wraps the OpenWeatherMap REST API behind a Model Context Protocol (MCP) server, uses a LangChain / LangGraph agent with Groq for tool calling, and exposes a Streamlit chat UI.

Developer-tooling agent exposed as an MCP server with diff review, prompt optimisation, and refactor proposals, powered by a LangGraph reflection loop and a LangMem-style persistent feedback store.

A dual-lab AI project: Vault-AI – banking MCP server with LangGraph ReAct agent + Streamlit UI; Voice-AI-Bot – multimodal chatbot using Google Gemini and Speechmatics STT/TTS. Shared Python environment.

A multi-agent AI system that audits any codebase and generates a styled health report (PDF). Built with LangGraph, MCP, and Gemini — three specialized agents scan structure, review code, and write the report.

Give your AI assistant a phone. An MCP server that calls businesses for you to book tables, get quotes, check availability and ask questions, then returns structured results. Built with LangGraph + Retell AI.

DealSense — multi-agent AI platform for CRE private equity analysis. LangGraph.js supervisor + 6 specialists over 20 zero-token tools, domain-pack architecture, judge-grade evals, built-in MCP server. TypeScript/Angular/AWS.

MCP server and LangGraph tools for WorldQuant BRAIN alpha research. Backtest Fast Expression alphas, read results and browse data fields from Claude Code, Cursor or your own agent. Unofficial, not affiliated with WorldQuant.

A LangGraph multi-agent system where 4 AI agents autonomously research any topic, extract insights, write a report, and self-review with a conditional revision loop — powered by Groq (LLaMA 3.3 70B), FastAPI, React, and Supabase.

Production-grade multi-agent RAG system with a self-correcting LangGraph supervisor (Researcher, Synthesizer, Critic), agentic tool calling, hybrid search, and an MCP server. Built with Gemini 2.5 Flash, FastAPI, Next.js 16, Postgres, pgvector, Redis, and Celery.

A Local Agentic School Management System using Model Context Protocol (MCP), LangGraph, and Ollama. Feature-rich PoC with SQLite data, PDF reporting, and an AI-driven Streamlit interface.

Multi-agent AI assistant that turns a GitHub issue into a draft PR with tests; planner/coder/reviewer loop on LangGraph, served via FastAPI + MCP. Swappable Claude / GPT / local Hugging Face models. Prompt caching & model tiering for ~50% lower cost. Dockerized, CI-tested.

Local-first, auditable memory for AI agents, with governed retrieval, delegated context delivery, and verifiable execution evidence. Works with OpenClaw, MCP, Pydantic AI, and LangChain/LangGraph. No external API required for local memory. Install with pip: pip install atmem

Voyagent is an AI travel planner powered by a LangGraph multi-agent pipeline - flight, hotel, itinerary and report agents that turns a plain-language trip request into a complete plan. It uses AviationStack for flights, Tavily for hotels, and Groq's Llama for itinerary generation, built on FastAPI with Postgres-backed conversation memory

Voyagent is an AI travel planner powered by a LangGraph multi-agent pipeline — flight, hotel, itinerary, and report agents — that turns a plain-language trip request into a complete plan. It uses AviationStack for flights, Tavily for hotels, and Groq's Llama for itinerary generation, built on FastAPI with Postgres-backed conversation memory

A LangGraph-powered agent that generates A/B copy variants for marketing campaigns (email, SMS, landing pages) using distinct persuasion angles. Features structured LLM outputs, validation with retries, Postgres checkpointing for state persistence, and an MCP server for tool-based integration. Built as a foundation for human-in-the-loop review.

SEC 10-K diligence copilot: LangGraph pipeline that detects material changes across filings and verifies every citation before reporting it, exposed via REST + MCP

Agentic job search pipeline: LangGraph + HiTL review + Claude scoring + resume tailoring + MCP server

An autonomous multi-agent system for generating safe, empathetic CBT (Cognitive Behavioral Therapy) exercises using LangGraph, PostgreSQL persistence, and Model Context Protocol (MCP) integration.