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MCP Get Community Servers

Mirror of

MCP Get Community Servers

Mirror of

Model Context Protocol Daemon

Model Context Protocol Daemon - a tool for installing, running and managing MCP servers

Clojars MCP Server

A Model Context Protocol (MCP) server that provides tools for fetching dependency information from Clojars, the Clojure community's artifact repository.

MCP Server Runner

A WebSocket server implementation for running Model Context Protocol (MCP) servers. This application enables MCP servers to be accessed via WebSocket connections, facilitating integration with web app

MCP Get Community Servers

This repository contains a collection of community-maintained Model Context Protocol (MCP) servers. All servers are automatically listed on the MCP Get registry and can be viewed and installed via CLI

MCP server for Obsidian

MCP server that interacts with Obsidian via the Obsidian rest API community plugin

➡️ attestable-mcp-server

Verify that any MCP server is running the intended and untampered code via hardware attestation.

🧠 AutoGen-Compatible Multi-Agent Research POC with Ollama + BraveSearch

This project is a proof of concept for running a local-first multi-agent system using: 🤖 Local LLMs via Ollama 🧩 Simple function/tool-call detection using <tool_call>... 🔍 Brave Search API or optional

Running the AgentTorch MCP Server

Awesome Mcp

A community-curated collection of Open-Source MCP servers.

Windows-MCP-Server-Installation-Verification-Guide

Windows MCP server setup differs from Mac by requiring absolute file paths and explicit node.exe references instead of npx commands. The installation requires verifying npm and installing packages glo

MCP Community Contributions

This is a directory repo for anything related to MCP - servers, clients and projects around MCP.

Deploy MCP Servers on AWS using AWS Fargate

Running an MCP Server on AWS Fargate on Amazon ECS

Trusted GMail MCP Server

First Trusted MCP server running on AWS Nitro Enclave Trusted Execution Environment

RWKV7-G1

RWKV开源发布了 RWKV7-G1 1.5B 推理模型（Reasoning Model）。模型基于 World v3.5 数据集训练，包含更多小说、网页、数学、代码和 reasoning 数据，总数据为 5.16T tokens。其具备其它同尺寸模型不具备的推理能力和任务能力，同时还支持现实世界 100+ 种语言。 在实际测试中，RWKV7-G1 1.5B 模型的推理逻辑性较强，能够完成有难度的

DreamFit

DreamFit是什么 DreamFit是字节跳动团队联合清华大学深圳国际研究生院、中山大学深圳校区推出的虚拟试衣框架，专门用在轻量级服装为中心的人类图像生成。框架能显著减少模型复杂度和训练成本，基于优化文本提示和特征融合，提高生成图像的质量和一致性。DreamFit能泛化到各种服装、风格和提示指令，生成高质量的人物图像。DreamFit支持与社区控制插件的无缝集成，降低使用门槛。 Dre