MCP Servers

OpenSumi is a framework designed to help you quickly build AI Native IDE products. It offers tools and components for creating customized IDEs, supported by CI/CD, testing, and community engagement features.

MCP Gateway & Registry: Manages LLM tool/prompt access via MCP. Converts APIs, composes servers, & bridges protocols (REST, stdio, SSE).

A comprehensive, intelligent, easy-to-use, and lightweight AI Infrastructure Vulnerability Assessment and MCP Server Security Analysis Tool.

This repository provides an MCP server that interacts with Obsidian using the Local REST API plugin, offering tools to list files, get content, search, patch, and append content within your Obsidian vault.

This repository provides a quick start guide for Model Context Protocol (MCP) programming, focusing on building MCP servers with tools for large language models. It uses Python and the `uv` package manager.

The MCP Java SDK provides tools for Java applications to interact with AI models using the Model Context Protocol, offering standardized communication and Spring Boot integration for client and server applications.

The official Rust SDK for the Model Context Protocol

This repository provides a server implementing the Model Context Protocol (MCP) with cloud browser automation capabilities using Browserbase, Puppeteer, and Stagehand, enabling LLMs to interact with web pages and external data.

Godot MCP is a Godot Engine project utilizing Node.js and TypeScript, likely implementing the Model Context Protocol. The repository is open-source under the MIT license and welcomes contributions.

**Option 1 (Focus on containers):** Containerized MCP servers. Deploy & scale MCP easily. **Option 2 (Focus on scalability):** Scalable MCP: Containerized servers for easy deployment & management.

FastMCP is a TypeScript framework for building MCP servers that handle client sessions, offering features like authentication, logging, SSE, error handling, and prompt argument auto-completion. It also includes a CLI

Basic Memory enables persistent knowledge building through natural language conversations with LLMs, storing information as local Markdown files. It utilizes the Model Context Protocol for LLM interaction with the knowledge base.

This repository provides a Grafana Model Context Protocol (MCP) server, enabling access to Grafana instances and their ecosystem for dashboard search, datasource information, Prometheus/Loki querying, incident management, and alerting features.

**Concise Descriptions:** * **Browser MCP: AI-driven browser control server. Model Context Provider.** (60 chars) * **MCP server for AI browser automation. Provides model context.** (55 chars) * **AI

Zotero MCP: Connects your Zotero research library with Claude and other AI assistants via the Model Context Protocol to discuss papers, get summaries, analyze citations, and more.