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
#8221
Popularity Rank
1 / 55
Listed In
Emerging
Adoption Stage
2/21/2026
First Seen
10
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.
kadykov
📇 ☁️ 🏠 - Token-efficient access to OpenAPI/Swagger specs via MCP Resources.
juspay
📇 ☁️ 🏠 🍎 🪟 🐧 - Making enterprise AI infrastructure universally accessible. Edge-first platform unifying 12 providers and 100+ models with multi-agent orchestration, HITL workflows, guardrails middleware, and context summarization.
...moretxn2
🏎️ 🏠 - Kubernetes bulk port forwarding with service discovery, /etc/hosts management, traffic monitoring, and pod log streaming
...morejuehang
📇 🏠 - A MCP Server that allows AI such as Claude to read from the directory structure in a VS Code workspace, see problems picked up by linter(s) and the language server, read code files, and make edits.
...more3
Forks
1
Open Issues
7/20/2025
Last Commit
Recently added to the ecosystem