Integrates Ollama models with Model Context Protocol to enable local AI chat, file operations, and secure ZeroTier remote access—emphasizing offline-first privacy and simple protocol integration.

Hybrid CrewAI-driven fact-checking with multi-agent verification, integrated as an MCP server with multi-provider search and transparent reporting.

Vertex Gemini-powered assistant toolkit with websearch grounding, streaming responses, and extensive developer-oriented tools.

Servidor MCP universal en Java con soporte multi-LLM, herramientas extensibles, sandbox de seguridad y monitoreo en tiempo real.

A minimal LangChain-based demonstration showing how to apply Model Context Protocol to manage and optimize LLM context.

Simple repository to study Go lang and LLMs integracion with model context protocol

CLI chat interface with document retrieval and extensible tool integrations via Anthropic API.

An MCP server that decomposes complex tasks into actionable subtasks, tracks progress with structured outputs, and cross-session resilience for AI agents.

Building AI agents on SAP LeanIX solutions based on Model Context Protocol

Comprehensive planning tool with multi-model fallback, production-grade reliability, and global, user-scoped access.

A unified MCP-based AI agent OS enabling cognitive memory, tool orchestration, and multi-provider models for cost-efficient automation.

CLI tool enabling interactive chats with Anthropic API, document injection, and modular MCP tool integrations for targeted, extensible conversations.

Modular Claude integration to query MLflow experiments, compare runs, read artifacts, and deliver actionable insights.

A Python tool enabling ground-state optimization of 1D/2D quantum models using TTNS, DMRG, and VUMPS with TFIM, hard-core bosons, and XXZ models.

Connects Copilot with contextual skills to tailor code suggestions, enabling more relevant and efficient coding experiences.

MCP (Model Context Protocol) 相关项目

Demo for exploring model context protocols 🚀

Working with MCP (Model Context Protocol)

LLM-driven dispatcher with semantic context and modular agents for monitoring, logs, and incident response.

Python based modular framework with FastAPI backend, offline AI, and GUI for discovering devices and building dashboards in industrial environments, enabling local agent workflows.

Dynamic tool invocation and context-aware planning for intelligent, multi-agent workflows with OpenAI integration.

Standardized, versioned context exchange enabling lightweight, interoperable AI workflows with pluggable data sources and deterministic payloads.

CLI-driven AI chat with document retrieval and extensible tool integrations via a modular protocol.

A modular host-client-server framework coordinating AI resources through JSON-RPC, enabling specialized, external service integration and dynamic resource orchestration.