MCP Server 排行

Let your AI agent call your phone and talk to you — MCP servers for live, interruptible voice calls + tiered alerts, using free self-hosted pieces (pjsua2 + whisper.cpp + Linphone). No paid telephony, no extra API key.

Self-hosted Dakera AI memory server — Docker Compose, Kubernetes, Helm, HA cluster setup, and monitoring.

Zero-dependency Python SDK for WeChat Bot (iLink protocol) — text, image, video messaging & MCP server | 零依赖微信机器人 Python SDK，支持多媒体消息和 MCP 服务器

Universal MCP server for logistics. Connect any TMS/WMS to AI agents. Shipments, carriers, tenders, tracking — all via Model Context Protocol.

Local-first AI coding agent runtime — your models, fail-closed safety, evidence-gated self-improvement

Nautobot Model Context Protocol (MCP) Server - Contains STDIO and HTTP Deployments with Embedding Search and RAG.

Learn TypeScript chatting effortlessly with AI

Decentralized memory-sharing protocol for AI agent

🧠 Personal knowledge MCP server with vector database for Opencode. Store and retrieve knowledge using semantic search, powered by local embeddings.

Universal memory layer for AI applications. Self-host in minutes. Open source.

API/MCP wrapper for RagAnything

AI-Inference-Managed-by-AI: Go binary for managing AI inference on edge devices

⚡️ The "1-Minute RAG Audit" — Generate QA datasets & evaluate RAG systems in Colab, Jupyter, or CLI. Privacy-first, async, visual reports.

Persistent semantic memory for AI agents on Raspberry Pi 5 — local Qdrant + MCP, no cloud, ~3s per query

Practical GenAI-Eshop application using Semantic Kernel, multi-agent orchestrations, Mcp tools, A2A Agents, Semantic Search, Aspire and more.

Model Context Protocol (MCP) server implementation for semantic vector search and memory management using TxtAI. This server provides a robust API for storing, retrieving, and managing text-based memories with semantic vector database search capabilities. You can use Claude and Cline AI as well.

LogosDB is the SQLite for AI Agents.

MCP server that gives text-only LLM coding agents vision — analyze images via any multimodal model (mimo, Claude, Gemini, OpenAI-compatible). Works with Claude Code, Codex, Kimi, opencode, PI.

An MCP server for dataset generation, fine-tuning, RL, and evaluation of LLMs — directly from your coding agent.

A curated full-stack LLM engineering playbook — from AI infrastructure and model lifecycle to agents, MCP, memory, and evaluation.