OpenAPI
OpenAPI MCP Server enables LLMs to interact with REST APIs by providing a bridge between OpenAPI specifications and AI assistants. It dynamically generates tools from OpenAPI documents, allowing models to execute HTTP requests (GET/PUT/POST/PATCH) against configured endpoints without requiring users to implement complex API interactions. The server supports features like request body generation, parameter handling, and proxy configuration, making it particularly valuable for workflows that need to integrate with external services or internal APIs while maintaining a conversational 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 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · 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/rahgadda/openapi_mcp_server
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve 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.