Open Source MCP Servers
Discover 53 open source MCP Server repositories from GitHub, each with an analysis of what it does, key features, use cases and alternatives. MCP Server projects here are most often combined with MCP, AI Agents and Developer Tools. Last updated October 4, 2026.
53 repositories · updated October 4, 2026
a-mem-mcp: Build Evolving Memory for Coding Agents
A-MEM is an MCP server and Python library that stores agent knowledge as an evolving, connected memory graph. It suits coding-agent users who need to retrieve and build on project context across sessions.
anythingmcp: Turn APIs and Databases into MCP Tools
AnythingMCP is a self-hosted gateway that turns REST, SOAP, GraphQL, OData, and SQL systems into tools for MCP-compatible AI clients. It combines connector generation with access controls and auditing for teams that want AI access to existing systems.
mcp-gateway: Route MCP Servers and REST APIs Through One Endpoint
A Rust gateway that brings MCP servers and REST APIs behind one endpoint, with tools discovered on demand through a compact meta-tool surface. It also bridges MCP protocol revisions and adds centralized routing and policy controls.
mcp-server-excel: Automate Microsoft Excel with AI
mcp-server-excel lets AI assistants and coding agents automate the real Microsoft Excel application through MCP or a CLI. It suits Windows users who need workbook operations that file parsers cannot perform, such as refreshing Power Query or running VBA.
MacOS-MCP: Automate macOS with AI Agents
MacOS-MCP is a Python MCP server that lets AI agents interact with macOS apps and interfaces through accessibility controls and system tools. It suits developers building desktop workflows, with macOS permissions and careful security review required.
codebase-memory-mcp: Build a Searchable Code Knowledge Graph
A local MCP server that indexes repositories into a persistent graph of code structure and relationships. It helps AI coding agents answer architectural and code-navigation questions with focused queries instead of repeated file searches.
deliberation: Get Multi-Model Reviews and Consensus
Deliberation is an MCP server and coding-agent plugin that routes plans and code questions to external AI models for second opinions or arbiter-mediated consensus. It suits developers who want independent reviews before making consequential changes.
mcp-grafana: Connect AI Clients to Grafana
Grafana’s MCP server lets compatible AI clients access Grafana dashboards, data sources, alerts, incidents, and other stack features through the Model Context Protocol. It suits teams that want to bring Grafana context and selected operations into agent workflows.
chrome-devtools-mcp: Give Coding Agents Chrome DevTools Access
Chrome DevTools MCP lets coding agents control and inspect a live Chrome browser through MCP or a CLI. Use it for browser automation, debugging, and performance analysis when your workflow needs access to real browser behavior.
mongodb-mcp-server: Connect AI Agents to MongoDB
A TypeScript Model Context Protocol server that lets AI agents query MongoDB databases and manage MongoDB Atlas resources. It suits developers who want database access through MCP, with read-only mode available for safer exploration.
context7: Give AI Coding Tools Current Library Docs
Context7 retrieves version-aware library documentation and code examples for AI coding assistants, helping reduce outdated guidance and invented APIs. It offers both a CLI-and-skills setup and an MCP server integration.
mcp-atlassian: Connect AI Assistants to Jira and Confluence
An MCP server that lets AI assistants search and work with Jira issues and Confluence pages. It supports Atlassian Cloud and Server/Data Center deployments, making it useful for teams that want these workflows available through MCP-compatible clients.