openapi-mcp-server
Provides an MCP (Model Context Protocol) server that helps AI clients search and explore OpenAPI specifications (from oapis.org), including generating simple-language summaries and locating relevant operations/endpoints. Supports OpenAPI files in both JSON and YAML and is intended for Claude Desktop/Cursor via an MCP URL.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
The README describes a hosted MCP URL but does not document authentication/authorization, data handling, or rate limiting. TLS is assumed for HTTPS URLs, but explicit guarantees are not stated. Dependencies listed are small in the provided manifest; specific vulnerability status is not verifiable from the supplied data.
⚡ Reliability
Best When
You want an MCP-integrated assistant to navigate and reason about public or accessible OpenAPI specs through natural-language exploration.
Avoid When
You need guaranteed strong guarantees around access control, data residency, or you must operate entirely offline/private without sending spec data to a third-party service.
Use Cases
- • Let an AI quickly understand an unfamiliar OpenAPI spec and how its endpoints work
- • Find specific operations/endpoints within a large OpenAPI document
- • Summarize OpenAPI specs in simple language for planning or assistant workflows
- • Help generate correct request shapes by guiding exploration of operations and parameters
Not For
- • Security review of APIs (it does not describe security scanning/verification features)
- • Executing business-critical changes without human verification
- • Working with private/internal OpenAPI specs unless the MCP service supports your required hosting/auth model
Interface
Authentication
README does not describe authentication/authorization requirements for the hosted MCP URL. If the service is public, there may be no auth; if auth exists, it is not documented here.
Pricing
No pricing details are provided in the supplied README.
Agent Metadata
Known Gotchas
- ⚠ Hosted MCP service behavior (limits, auth, timeouts) is not documented in the provided README; agent workflows may need conservative retry/backoff and payload size checks.
- ⚠ Because the server performs multi-step exploration (identifier→summary→endpoints), agents may benefit from caching discovered identifiers/operation ids to reduce repeated calls.
- ⚠ Large/complex OpenAPI specs may increase latency or exceed tool output limits; agents should request narrower scopes where possible.
Alternatives
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Scores are editorial opinions as of 2026-03-30.