An open-source Model Context Protocol (MCP) server with a Python/Node.js hybrid architecture. Features include automatic API documentation parsing, self-healing connection pools, and GDPR-compliant audit trails, making it a robust solution for secure and scalable AI integration.
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A Python-based MCP server for querying OpenAI models directly from Claude or other clients using the Model Context Protocol.
An MCP server extension for the Eunomia framework, connecting Eunomia instruments with MCP servers to orchestrate data governance and access policies.
A high-level framework for building MCP servers, available in both Python and TypeScript, designed to streamline the creation, management, and deployment of custom MCP server implementations.
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An MCP server for searching job listings, with filters for date, keywords, remote work, and more, adhering to the MCP server protocol.
Automates website deployment to 1Panel servers, offering static site creation, build file uploads, and deployment statistics via a Node.js Express interface, exemplifying deployment automation with MCP servers.
Category: MCP Middleware Orchestration
Tags: open-source, mcp, python, nodejs, gdpr
Source: GitHub - gumloop/guMCP
gumCP is an open-source collection of Model Context Protocol (MCP) servers designed for both local and remote deployment. It offers a unified backend for consistent AI integration, supporting both stdio and Server-Sent Events (SSE) transports. The project is aimed at fostering a community around AI integrations and the advancement of AGI, with full open-source access for community contributions.