Any OpenAPI
This MCP server implementation, developed by Bary Huang, provides integration with any OpenAPI-compliant service. Built with Python and leveraging libraries like FastAPI, FAISS, and sentence-transformers, it offers a flexible approach to connecting AI models with diverse APIs. The implementation focuses on dynamic tool generation based on OpenAPI specifications, enabling seamless interaction with a wide range of services without requiring custom code for each integration. It supports vector-based semantic search for efficient API operation discovery, making it particularly useful for applications that need to work with multiple or frequently changing APIs. By abstracting the complexities of API integration, this server allows for rapid development of AI-powered applications that can leverage external services and data sources through a standardized interface.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- ai-ml
- Source
- PulseMCP
- Repository
- github.com/baryhuang/mcp-server-any-openapi
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Any OpenAPI from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.