"openapi" matching MCP servers:

Type-safe Model Context Protocol (MCP) server to inspect, validate, and synchronize OpenAPI specs directly within AI agent workflows.

High-performance MCP server for OpenAPI specifications that parses specs, diffs versions, tracks dependencies, and generates code (TypeScript, Rust, Python).

MCP server for querying Swagger/OpenAPI metadata efficiently from AI tools, enabling fast API discovery, search, and schema inspection.

Enables AI to scan and query local OpenAPI/Swagger documentation, listing API groups and endpoints, and generating TypeScript type definitions for specific endpoints.

Enables AI agents to lint API artifacts (OpenAPI, AsyncAPI, Arazzo) and manage rulesets conversationally via the Model Context Protocol.

Replay-verified minimal JSON reproductions and deterministic TypeScript/OpenAPI drift checks. Local-first CLI and MCP server.

Generates professional documentation for multi-language projects with deep code analysis, supporting frameworks like Docusaurus, MkDocs, and Sphinx, including API docs, PDF export, and OpenAPI specifications.

Enables MCP clients to run read-only static audits on supplied n8n, Dify, Trigger.dev, Activepieces, and OpenAPI exports, and to screen HTTPS URLs for unsafe schemes, returning structured findings and limitations.

Generates professional documentation for multi-language codebases with deep AST-based code analysis, supporting Docusaurus, MkDocs, and Sphinx frameworks. Includes API documentation generation, PDF export, OpenAPI spec generation, and sales-ready documentation for code marketplaces.

An MCP server that provides tools for frontend development, including i18n issue detection, OpenAPI type generation, and project structure analysis.

A TypeScript/Node.js MCP toolkit with servers for code search, docs, databases, OpenAPI, Git, and shell-based developer workflows.

Enables reading and parsing Swagger/OpenAPI specifications to list API endpoints, get detailed endpoint info, search APIs, and generate TypeScript types for request/response.

Read-only MCP server for cross-stack impact analysis across Java Spring Boot backend and TypeScript frontend linked through OpenAPI.

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 AI clients to inspect backend systems through structured engineering tools including Git history, Winston logs, OpenAPI contracts, and sandboxed source code.

This server automatically validates consistency between AI-generated frontend and backend code by enforcing OpenAPI 3.0 specifications. It injects smart constraints into AI prompts to ensure that generated data structures and API calls remain synchronized across the entire stack.

Cloud-deployable MCP server exposing secureFlows' OpenAPI operations (tagged ai-safe/ai-optional) as MCP tools, plus static helper tools like login URL building and integration linting for coding agents.

Generates safe-by-default MCP servers from OpenAPI specs, exposing only low-risk GET tools and blocking write operations.

Analyzes API codebases from GitHub and Bitbucket repositories to generate Postman collections, business reports, and detailed code insights. Supports multiple frameworks including FastAPI, Spring Boot, Flask, Express, and OpenAPI/Swagger specifications.

MCP server that analyzes OpenAPI/Swagger REST API contracts and generates BDD Gherkin feature files and TypeScript Jest regression test scripts.