Transform OpenAPI specifications into production-ready MCP servers with AI-powered evaluation and enhancement. Leverages LLMs to analyze, improve, and generate Model Context Protocol implementations from your existing API documentation.
Cross-referenced across 55 tracked directories
#8735
Popularity Rank
1 / 55
Listed In
Emerging
Adoption Stage
7/17/2025
Created
11
GitHub Stars
Score: 86/100
0 dependency vulnerabilities found
Critical Findings:
Run an AI-powered security scan to analyze this package's source code for vulnerabilities, prompt injection vectors, data exfiltration risks, and behavior mismatches.
Scans fetch actual source code from the GitHub repository, not just the README.
shinpr
📇 🏠 - Privacy-first document search server running entirely locally. Supports semantic search over PDFs, DOCX, TXT, and Markdown files with LanceDB vector storage and local embeddings - no API keys or cloud services required.
...morekadykov
📇 ☁️ 🏠 - Token-efficient access to OpenAPI/Swagger specs via MCP Resources.
biegehydra
📇 - Connect to VSCode ide and use semantic tools like `find_usages`
oraios
🐍 🏠 - A fully-featured coding agent that relies on symbolic code operations by using language servers.
3
Forks
1
Open Issues
7/20/2025
Last Commit
Recently added to the ecosystem