"Exploring OpenAPI/Swagger Specifications" matching MCP servers:

Automatically converts OpenAPI specifications into a Model Context Protocol (MCP) server instance.

Exposes OpenAPI specifications as queryable documentation resources for LLMs, enabling semantic search, endpoint details, and deep links to Scalar docs.

A toolkit that enables AI assistants to directly call Feishu/Lark API interfaces for automation scenarios like document processing, conversation management, and calendar scheduling.

Enables AI assistants to securely access Webull trading and market data, including real-time market data, screener, watchlist, fundamentals, and order placement across multiple regions.

Enables AI assistants to explore and interact with the Facets Control Plane API via natural language, supporting operations like searching endpoints, loading schemas, and making authenticated API calls.

A server that provides management and connectivity for Alibaba Cloud RDS database services via OpenAPI, enabling users to create, query, and modify RDS instances through MCP integration.

Analyze Amazon reviews, VOC feedback, sentiment, pain points, and listing improvements through seven curated MCP tools.

An MCP server that enables AI assistants to securely access Webull trading and market data, supporting multi-region (US/HK), various asset classes, order types, and risk controls.

Enables AI agents to interact with ActiveNet OpenAPI services for managing organizations, activities, customers, facilities, and more.

远程MCP服务，通过Model Context Protocol为AI应用提供阿里云数万个OpenAPI的无缝集成，支持Terraform、多账号、自定义OAuth等能力。

Enables validation of OpenAPI 2.0 and 3.0 specifications in JSON or YAML format using APIMatic's comprehensive API validation service through the Model Context Protocol.

A Model Context Protocol server that generates and runs mock API servers from API documentation like OpenAPI/Swagger specs, enabling developers and AI assistants to quickly spin up mock backends for development and testing.

Enables conversion of OpenAPI specifications into MCP servers and remixing multiple MCP servers into one. Works with stdio and sse transports and integrates with major chat clients.

An MCP server for the iNavi Maps API that gives AI assistants iNavi Maps API specifications and ready-to-use HTML templates for interactive map visualizations (geocoding, POI search, route planning).

DexPaprika MCP server allows LLMs to access real-time and historical data on tokens, DEX trading activity, and liquidity across multiple blockchains. It enables natural language queries for exploring market trends, token performance, and DeFi analytics through a standardized interface.

Provides dependency upgrade advisories, API schemas for 1,097 services, and electronic component specifications over MCP, with Ed25519-signed evidence.

MCP server for mockzilla. Lets coding agents (Claude Desktop, Cursor, etc.) install the mockzilla CLI, stand up API mocks from an OpenAPI spec or a single endpoint, and — with an account — deploy hosted mocks on mockzilla.org.

Turn any OpenAPI 3.x spec into a runnable, stateful API environment for AI agents. Test real integration flows — multi-step workflows, persistent state, webhook delivery, retries, and edge cases — instead of guessing from docs or mocking endpoints. Generate committable markdown reports directly from Claude/Cursor. Includes 50+ pre-validated APIs like Stripe, GitHub, Twilio, OpenAI, and more.

Exposes ProsodyAI documentation, SDK references, REST API reference (OpenAPI), and curated implementation recipes to AI coding agents via MCP tools and resources.

Enables parsing, validating, and translating POEM pseudo-code specifications into code in any programming language via natural language.