"Co-op" matching MCP servers:

yop-mcp 是一个专为易宝支付开放平台(YOP)设计的 MCP (Model Context Protocol) Server，提供了一套完整的工具函数，帮助开发者通过AI助手（如Claude、Cursor等）更便捷地获取YOP平台的相关信息、生成密钥对、下载证书等操作。

Converts natural language queries into valid GraphQL queries and executes them against GraphQL APIs. Includes schema introspection, query validation, execution with authentication, and query history tracking.

Webhook testing for coding agents: create endpoints, send signed test webhooks, inspect captured requests, compare attempts and verify signatures.

Enables users to turn any API's documentation into a tested MCP server whose tools expose the API's own operations, with linting, contract tests, and live verification. It accepts OpenAPI/Swagger, Postman, RAML, WSDL, GraphQL, RSS, and HTML docs.

Converts REST API code (like NestJS controllers or FastAPI endpoints) to Postman collections and environments, helping developers automatically sync their API endpoints with Postman.

Conformance test harness for Model Context Protocol servers, validating JSON-RPC, transport, capability, schema, and more across multiple spec versions.

A server that implements the Model Context Protocol (MCP) standard, enabling LLMs like Claude to interact with selected Postman API requests through generated JavaScript tools.

A Model Context Protocol server that loads multiple OpenAPI specifications and exposes them to LLM-powered IDE integrations, enabling AI to understand and work with your APIs directly in development tools like Cursor.

Provides access to Ics Ap Apis API endpoints with authentication support, enabling API interactions through the MCP protocol.

MCP server that fetches API responses and generates ready-to-use model/POJO classes in your configured language, with built-in login/refresh token handling.

A tool that creates MCP (Model Context Protocol) servers from OpenAPI/Swagger specifications, enabling AI assistants to interact with your APIs.

Provides MCP tools to manage webhook endpoints, watch incoming events, and retrieve recent webhook payloads.

Exposes REST API endpoints defined in an OpenAPI Specification as MCP tools, allowing AI models to call them via the ModelContext Protocol.

Wraps the JSONPlaceholder fake REST API to enable testing and prototyping with CRUD operations on posts, comments, and other resources via MCP.

Generates standalone, human-readable MCP servers from RAML 1.0 or OpenAPI 3.x specs, exposing one tool per resource and method that makes real HTTP calls. It understands Mule/Anypoint auth patterns such as Client ID enforcement and OAuth2, wiring the expected credentials from environment variables at call time.

Converts OpenAPI specifications into MCP services with HTTP header passthrough support. Enables interaction with any OpenAPI-compliant service through natural language by dynamically transforming API documentation into MCP tools.

Exposes OpenAPI specifications as MCP tools, enabling AI assistants to explore and understand API structures, endpoints, schemas, and documentation through semantic queries.

Turn any GraphQL API into MCP tools. Zero config, zero code. Auto-introspection, flat InputObject schemas for better LLM accuracy, smart truncation, retry logic with exponential backoff.

Auto-generates MCP tools from your OpenAPI spec, allowing natural language interaction with any API via configurable headers and serverless deployment.

Echoes GET and POST requests for testing HTTP APIs via MCP.