"Exploring OpenAPI/Swagger Specifications" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Create hosted MCP servers from any OpenAPI spec. Requires a free Kaiva Bridge account.
Write product documentation to share with your whole team, including testable specifications.
Detect breaking changes, generate changelogs, diff, and validate OpenAPI specs.
Point Gecko at an OpenAPI spec; get first-call-correct, auth-hidden agent tools.
Paid OpenAPI audit and API change detection for agents. $0.10 USDC per analysis via x402 on Base.
Read-only ArcadeOps discovery for developer docs, OAuth, OpenAPI and synthetic sandbox.
OpenAPI version key shape, body discarded
Public HTAG discovery for MCP tools, API endpoints, OpenAPI ops, and agents.
End-to-end API testing — generate and run tests from OpenAPI, curl, Postman, or real user traffic.
Agent-native notes, tasks, dev-docs, vaults, sync & handoffs. MCP + OpenAPI dual surface.
ERP français avec serveur MCP natif : plus de 1 800 actions métier auto-générées via OpenAPI.
Swagger Petstore API (v1.0.27) as MCP for testing and prototyping powered by the HAPI MCP server
MCP server and REST API for querying OpenAPI specs. Endpoint-level extraction, schema resolution, 100+ APIs indexed.
Verified hardware specifications (GPU, CPU, PSU) for autonomous agents. No scraping needed.
APIs.guru MCP — keyless directory of 2,500+ public APIs and their OpenAPI specs.
Excalidraw & document parsing API with machine-native x402 micropayments. Agents pay per call with no signup. Free tier available. OpenAPI spec published; LLM-readable docs at https://nanoempireai.com/llms.txt Pricing: free 5/day · basic $0.005/call · premium $0.05/call unlimited
PostgreSQL, MySQL, OpenAPI/Swagger, and shared Agent Memory with scoped access.
- typeshipOAuthdev.typeship
Generate a typed SDK, CLI, and MCP server from any OpenAPI or GraphQL spec, and keep them current.
MCP server for AI access to Swagger by SmartBear.
The Polar Signals MCP server enables AI assistants to connect directly with performance profiling data, allowing users to analyze application performance through natural language queries. Key capabilities include querying CPU performance and memory usage, exploring profiling metadata like profile types and labels, and providing AI-driven code optimization suggestions directly within development environments like Claude Code or Cursor.
