#OpenAPI

Remote MCP Server (WebMCP) for industrial vacuum cleaner exploration and configuration. Helps to choose the right vacuuming solution for each specific dust extraction application. Query 150+ products across 24 industrial sectors with full ATEX certification data, technical specifications, and accessory compatibility. **Capabilities:** - Choose the right solution within 180+ models of industrial vacuum - Find vacuums for ATEX Zone 2/21/22 (explosive atmospheres) - Configure for combustible dust (aluminum, titanium, flour, wood) - Select for toxic/carcinogenic dust (Class H, Type H certified) - CNC oil and coolant extraction - Welding fume extraction - Central vacuum systems (CVS) - Compatible accessories by product **20 tools** covering product search, technical specs, filter options, ATEX zones, certifications, and accessories. No authentication required. Public access.

Read-only MCP server for searching, comparing, and recommending 18,000+ UK gyms using LocalGym data.

Read-only MCP server and JSON API for international country calling codes, ISO country codes, E.164 dial codes, regions, trunk prefixes, and NANP area codes.

Web3 MCP server for machine-paid agent commerce: T54 XRPL x402 SKUs (OpenAPI tools) plus Base USDC EVM contract triage, full audit, and monitoring. Streamable HTTP at api.agentic-swarm-marketplace.com/mcp; stdio via scripts/mcp_server.py. HTTP 402 + broker settlement — not trading or speculation.

Generate production-ready MCP servers from any source: OpenAPI/Swagger specs, GraphQL APIs, codebases, CLI tools and websites. Powered by LLM enrichment. Requires a mcp-forge license key.

Release gate agents call before they tell users a public website is ready to ship. Scans public websites across security, SEO, accessibility, legal compliance, and sustainability.

stdio MCP server from @archrad/deterministic—same engine as the archrad CLI. Validates architecture IR (structural + IR-LINT), merges local PolicyPack YAML, checks export drift vs generated files on disk, and returns static archrad_suggest_fix guidance per built-in rule code. No cloud account required; runs locally in Cursor, Claude Desktop, and other MCP hosts. Apache-2.0. Docs: docs/MCP.md in the repo.

OpenAPI.city is a hosted API service that gives AI agents instant, structured access to OpenAPI specifications. It sits between an agent and the APIs it needs to use — the agent asks for one endpoint, a compact summary, or a specific schema, and gets exactly that, nothing more. This avoids context window overflow (3% vs 90% context usage) and eliminates API hallucinations. Available via REST API and MCP server with 100+ popular APIs indexed, weekly automated refreshes, on-demand schema access, and endpoint-level extraction.

Official MCP server for Brilliant Directories, the membership and directory website platform powering 50,000+ sites. Manage members, posts, leads, reviews, pages, redirects, email templates, forms, menus, tags, and more from any AI agent. Ships an OpenAPI 3.1 spec and an interactive setup wizard.

The fast, idiomatic way to build MCP servers in Go. Struct-tag auto schema, middleware chain, tool groups, auth, adapters for Gin/OpenAPI/gRPC, async tasks, Inspector UI, and more.

MCP server for API test case generation from Swagger/OpenAPI specs. Parses Swagger 2.0 and OpenAPI 3.x, generates test cases across 8 categories (positive, negative, boundary, auth, security, idempotency, pagination, business logic), and exports to Postman, TestRail, Allure, k6, pytest, Gherkin, and CSV. Supports internal corporate APIs with auth headers. Auto-saves export files to your working directory.

Scan any website for AI agent readiness — payment protocols (x402, MPP, SPT, L402), MCP servers, OpenAPI specs, llms.txt, plugins, and more. Returns scored reports with 80+ checks.

HttpStatus MCP Server gives AI assistants 24 production-ready tools for API development workflows. Test, mock, monitor, and secure APIs directly from Claude, Cursor, Windsurf, or any MCP-compatible client.

Stop re-explaining your codebase every session. Delimit is the universal governance layer for AI coding assistants — persistent memory, tasks, and policy enforcement that works across Claude Code, Codex, Cursor, and Gemini CLI. 180+ MCP tools across 5 domains: governance (lint, diff, policy, semver), context (memory, ledger, sessions, handoffs), shipping (deploy, publish, rollback, changelog), observability (metrics, logs, alerts, status), and orchestration (multi-model deliberation, agent dispatch, swarm triggers). Core capabilities: 27-type deterministic breaking change detection for OpenAPI specs. Policy enforcement with strict/default/relaxed presets plus custom YAML rules. Cross-model session continuity — switch between Claude, Codex, Gemini, and Cursor without losing context. Multi-model deliberation where AI models debate until consensus. Git hooks, CI gates, and pre-commit governance. Zero-config onboarding with auto-detection of frameworks, specs, and test suites. Free tier includes API governance, persistent ledger, zero-spec extraction, and project scanning. Pro adds deliberation, security audit, test verification, encrypted vault, deploy pipeline, and agent orchestration. Install: npx delimit-cli setup

Point Claude at any API. JitAPI figures out which endpoints to call and in what order — automatically. Register any OpenAPI spec, search endpoints in plain English, and orchestrate multi-step workflows across multiple APIs. No API keys required — works out of the box with local embeddings.

PR-native API governance for AI agents. Detects breaking API changes at merge time, scores blast radius, and blocks unsafe agent tool calls before production. Preflight check, risk scoring, Decision Spec v1.0.

Stop pasting API docs. Let your LLM dynamically navigate OpenAPI/Swagger specs and extract precise JSON schemas on-demand.

**Altinity MCP Server** is a production-ready MCP server designed to empower AI agents and LLMs to interact seamlessly with ClickHouse. It exposes your ClickHouse database as a set of standardized tools and resources that adhere to the MCP protocol, making it easy for agents built on OpenAI, Claude, or other platforms to query, explore, and analyse your data. ### Why use this server? * Seamless AI-agent integration: Designed so that agents built using OpenAI can call your database as if it were a tool. * Flexible transport support: STDIO for local workflows, HTTP for traditional REST-style calls + streaming support via SSE for interactive flows. * Full tooling and protocol support: Built-in tools for schema introspection, SQL execution, resource discovery. * Security and enterprise-grade: Supports JWE/JWT authentication, TLS for ClickHouse connection and MCP endpoints. * Open-source and extensible: You can customise, extend, embed into your stack. ### Key Features * **Transport Options**: * **STDIO**: Run locally via standard input/output — ideal for embedded agents or local workflows. * **HTTP**: Exposes MCP tools as HTTP endpoints, enabling Web, backend, agent access. * **SSE (Server-Sent Events)**: Enables streaming responses — useful when you want the agent to receive chunks of results, respond interactively, or present live data. * **OpenAPI Integration**: When HTTP or SSE mode is enabled, the server can generate a full OpenAPI specification (v3) describing all tools and endpoints. This makes it easy for OpenAI-based agents (or other LLM platforms) to discover and call your tools programmatically. * **Security & Authentication**: Optional JWE token authentication, JWT signing, TLS support both for the MCP server and the underlying ClickHouse connection. * **Dynamic Resource Discovery**: The server can introspect the ClickHouse schema and automatically generate MCP “resources” (tables, views, sample data) so agents understand your data context without manual intervention. * **Configuration Flexibility**: Configure via environment variables, YAML/JSON configuration file or CLI flags. Includes hot-reload support so you can adjust config without full restart. ### Use-Cases * AI assistant integrated with OpenAI: For example, you build an agent using OpenAI’s API which reads your schema via the OpenAPI spec, selects the right tool, calls the HTTP/SSE endpoint of the MCP server, and returns analytic results to the user. * Streaming analytics: Large result sets, or interactive analytics flows, where SSE streaming gives progressive results, keeps your UI or agent responsive. * Secure enterprise access: Instead of giving agents full DB credentials, you expose via the MCP server with fine-grained auth, limit enforcement, TLS, and tool-level control. * Schema-aware LLM workflows: Because the server exposes table and column metadata and sample rows as resources, the LLM can reason about your data structure, reducing errors and generating better SQL or queries.

MCP server for API documentation, supporting GraphQL, OpenAPI/Swagger, and gRPC from local files or remote URLs

Repo Context MCP provides programmatic access to repository contents for integrations and automation. It can list directories/files, read any file, return the README, perform TypeScript type analysis (via ts-morph), and search for OpenAPI/Swagger spec files. Supports local repo paths and reading from private GitHub repos when GITHUB_TOKEN is set in the environment. Ideal for code analysis, docs generation, and CI pipelines.

本插件为 Model Context Protocol（MCP）提供了企业级 OpenAPI 文档能力，自动聚合并标准化 企业微信 与 飞书 的开放接口文档的MCP服务。 适用于构建企业内部集成、自动化工作流、Bot/Agent 开发等高频 API 使用场景

本插件为 Model Context Protocol（MCP）提供了企业级 OpenAPI 文档能力，自动聚合并标准化 企业微信 与 飞书 等的开放接口文档。 通过统一上下文调用、搜索和补全，开发者可在无需频繁查阅官网文档的情况下，快速获取接口定义、请求参数、响应结构及权限要求。 适用于构建企业内部集成、自动化工作流、Bot/Agent 开发等高频 API 使用场景。

MCP server for handling large openapi specs

An MCP (Model Context Protocol) server that helps you work with large OpenAPI specifications by extracting only the relevant portions for specific endpoints. This is particularly useful when working with LLMs that have context limitations - instead of loading an entire large OpenAPI spec, you can extract just the parts you need for a specific endpoint.

Lints/Validates an OpenAPI specification

OpenAPI2MCP (Model Context Protocol) that allows AI clients to call any OpenAPI-compatible REST API through the MCP interface. This tool converts OpenAPI specifications into MCP tools, enabling AI clients to interact with external APIs seamlessly.

Web Search OpenAPI/MCP server for Open-WebUI, Cherry-Studio etc, via Google and SearXNG

OpenAPI to MCP Server Code Generator

openapi to mcp server

Intelligent Model Context Protocol (MCP) server for AI-assisted API development. Generate mock servers from OpenAPI specs with advanced logging, performance analytics, and server discovery. Optimized for AI development workflows with comprehensive testing insights and automated analysis.

Turn any API spec into AI-accessible tools instantly.

MockLoop MCP is a powerful tool that helps developers create mock API servers effortlessly. 🚀 With just a few commands, you can set up a testing environment that mimics your production API. 💻

MCP Generator using OpenAPI spec

Mirror of

MCP Calling Servere via SSE and OpenAPI

MCP Calling Servere via SSE and OpenAPI

Unbundle OpenAPI MCP Server A Model Context Protocol (MCP) server with tools to split OpenAPI specification files into multiple files or extract specific endpoints into a new file. This is specifically useful when you are dealing with large OpenAPI Specification files and this mcp server help you extract specific list of endpoints from the openapi spec fil

A simple, secure MCP-to-OpenAPI proxy server

A tool&lib that can automatically convert OpenAPI documents into Higress remote MCP server configurations.

A tool&lib that can automatically convert OpenAPI documents into Higress remote MCP server configurations.

Agent network builder for communicating with openapi apis. Based in autogen

An MCP server proxy that exposes OpenAPI-based APIs.

A platform for managing your local MCP servers

fork of openapi-mcp-server v1.2.0-beta04

Use any OpenAPI specification to expose an MCP server. Handle OAuth2, bearer tokens, parameters and request bodies. Fine tune the tools names and description with adhoc OpenAPI extensions.

A tool for automatically converting OpenAPI specifications into Model Context Protocol (MCP) Server instance

QuickMCP empowers you to effortlessly build and deploy Model Context Protocol (MCP) servers. By leveraging your OpenAPI or Google Discovery specifications, QuickMCP automates server generation, provides rapid deployment, and creates interactive documentation and client SDKs, streamlining your MCP server development workflow.

Compose and generate effortlessly MCP servers from any OpenAPI specifications

CLI tool to create an MCP server exposing services from an OpenAPI specification

OAuth2 Authorization Server with Spring Boot 3 and Java 24

Compose and generate effortlessly MCP servers from any OpenAPI specifications

So I tried out this cool tool I saw in a LinkedIn post — https://openapitools.com. All you need is your API schema (OpenAPI/Swagger), and it automatically generates an MCP schema for you. You can then drop it straight into Claude Desktop (or Cursor, LangChain, etc.) and instantly start chatting with your API. Super clean and insanely useful for research or prototyping!

MCP server providing token-efficient access to OpenAPI/Swagger specs via MCP Resources for client-side exploration.

MCP server providing token-efficient access to OpenAPI/Swagger specs via MCP Resources for client-side exploration.

A Python CLI tool that generates a basic Node.js/TypeScript MCP server from an OpenAPI v3 spec (JSON/YAML), mapping each operation to an MCP tool.

Your APIs, Now AI Tools. Build mcp servers in a minute.

Your APIs, Now AI Tools. Build mcp servers in a minute.

Mirror of

MCP server providing token-efficient access to OpenAPI/Swagger specs via MCP Resources for client-side exploration.

Monorepo providing 1) OpenAPI to MCP Tool generator 2) Exposing all of Twilio's API as MCP Tools

Adapter to expose MCPO, the MCP-to-OpenAPI proxy server, tools in Ollama-compatible format

Powerful bridge between OpenAPI specifications and AI assistants using the Model Context Protocol (MCP). Automatically converts any OpenAPI/Swagger API specification into MCP tools that can be used by AI assistants like Claude Desktop.

提供了一系列用于神岛引擎的 OpenAPI MCP (Model Context Protocol) 工具，帮助 AI 更高效地调用引擎接口。

Agent network builder for communicating with openapi apis. Based in autogen

OpenAPI server for Smithery Registry, providing access to MCP servers

This is a skeleton project that you can use as a starting point for building your own MCP server. The example addition function demonstrates how to implement handlers across all three protocols.

OpenAPI specification MCP server.

A tool for automatically converting OpenAPI specifications into Model Context Protocol (MCP) Server

Model Context Protocol (MCP) server for the Webflow Data API.

A simple, secure MCP-to-OpenAPI proxy server

A command-line interface for interacting with MCP (Model Context Protocol) servers using both stdio and HTTP transport.

The best way to deploy mcp server. A high-performance WebSocket/SSE transport layer & gateway for Anthropic's MCP (Model Context Protocol) — powered by Nginx, Nchan, and FastAPI.

The OpenAPI to Model Context Protocol (MCP) proxy server bridges the gap between AI agents and external APIs by dynamically translating OpenAPI specifications into standardized MCP tools. This simplifies the integration process, significantly reducing development time and complexity associated with custom API wrappers.

Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!

This multi-module project hosts a client code-generated from an OpenAPI derivative of the ResOs API combined with a Spring AI implementation. It also includes an MCP server, MCP client configuration for use with Claude and a standalone ReactJS powered chatbot UI.

A MCP server that enables Claude to discover and call any API endpoint through semantic search. Intelligently chunks OpenAPI specifications to handle large API documentation, with built-in request execution capabilities. Perfect for integrating private APIs with Claude Desktop.

Mirror of

Mirror of

OpenAPI specifications => MCP (Model Context Protocol) tools