MCP ServerHTTPOfficialv0.6.0

OpenAI Tools MCP Server

Transform OpenAPI specs into MCP tools instantly without rewriting your APIs. HAPI CLI lifts existing REST endpoints into AI-ready agents, keeping auth, rate limits, and governance intact.

ai.com.mcp/openai-tools

Hosted URL

https://openai-tools.run.mcp.com.ai/mcp

Transport

HTTP

Auth

No auth required

OpenAI Tools repository at a glance

Live signal from GitHub, refreshed weekly.

Stars

8

Last commit

Feb 28, 2026

License

MIT

Language

HTML

What the OpenAI Tools MCP server does

How models use it and what it is built for.

Transform OpenAPI specs into MCP tools instantly without rewriting your APIs. HAPI CLI lifts existing REST endpoints into AI-ready agents, keeping auth, rate limits, and governance intact.

Connect to OpenAI Tools

Hosted endpoint — paste into any MCP client.

https://openai-tools.run.mcp.com.ai/mcp

Resources

Where to find authoritative docs and source for OpenAI Tools.

Example prompts for OpenAI Tools

Paste any of these into Agent Studio after connecting OpenAI Tools.

  • Convert my OpenAPI 3.0 spec to an MCP server using HAPI CLI
  • Show me how to add OAuth 2.0 authentication to my API-to-MCP pipeline
  • Deploy this MCP tool with runMCP for autoscaling and cold-start performance
  • Use OrcA to orchestrate a multi-step workflow across three API endpoints

Documentation from project README

View on GitHub

Excerpted from the project's README — boilerplate sections (license, changelog, contributing) omitted for clarity.

HAPI MCP – Headless API for Model Context Protocol

Stop rewriting systems for AI. Instantly turn your APIs into MCP servers.

HAPI MCP lifts your OpenAPI catalog into MCP tools automatically, keeping design (OAS/Arazzo) and runtime (agents/LLMs) cleanly separated. Your existing APIs become AI-ready tools—no new business logic, no sidecar servers, no rework.

Key Features

  • No rewrites: Reuse 100% of your API logic. OpenAPI in, MCP tools out. No parallel codebase or shadow services.
  • Faster time-to-value: Turn specs into agent-ready tools in minutes. Update the spec, ship new tools instantly.
  • Reduced risk: Permissions, auth, rate limits, auditability are inherited from your APIs—governance without bolt-ons.
  • Scales with you: runMCP delivers serverless-like elasticity with long-running when needed. Cold-start fast, stay warm for throughput.
  • Deterministic orchestration: OrcA plans and executes multi-tool tasks predictably—no brittle prompt chaining.
  • Vendor-neutral: Works with any MCP client: ChatGPT, Claude, QBot, chatMCP. OAS + MCP + Arazzo stay portable.

How It Works

  1. Pick your API spec

    • OpenAPI, Swagger, REST—HAPI CLI works with any API specification format.
    • Supports OpenAPI 3.0+, REST APIs, OAuth 2.0 Dynamic Client Registration.
  2. Run a single command

    • One simple CLI command transforms your API into a usable MCP Server.
    • No complex setup, zero configuration, works anywhere, cross-platform.
  3. Use instantly

    • Your API is now ready as a tool, AI agent, or testing interface.
    • MCP server ready, AI agent compatible, testing interface, developer experience friendly.

Visual Pipeline

API Spec (swagger.json) → HAPI CLI → Usable Tool (AI-ready) ← MCP Clients
[ OpenAPI / Swagger ]       [ HAPI CLI ]        [ MCP Server ]
       (Your API)         →   (Transform)   →   (Usable Tool)
                                                 ↑          ↑
                                                 |          |
                                          [ ChatGPT ]  [ runMCP ]
                                          [ Claude  ]  [ OrcA   ]
                                          [ QBot    ]  [ chatMCP]
                                          [ Agents  ]

Who Wins With HAPI

  • Executives: Ship AI initiatives without ballooning cost. Keep teams focused on outcomes, not rewrites and integration sprawl.
  • Architects & PMs: Design with OpenAPI/Arazzo, run with MCP. Clear contracts, policy inheritance, and versioned workflows keep risk low.
  • Engineers & Ops: Deploy once. HAPI Server + runMCP scale tools; QBot/chatMCP give fast feedback; OrcA keeps executions deterministic.

Your Stack, Already Wired

  • HAPI Server: Turns OpenAPI into MCP tools automatically—contracts stay in sync with your source of truth.
  • runMCP: Autoscaling execution and testing for MCP tools; cold-start fast, stay warm when workflows run long.
  • QBot: CLI TUI for power users to interact with MCP tools directly from terminal or scripts.
  • chatMCP: Conversational client that speaks MCP natively for support, ops, and internal assistants.
  • OrcA: Deterministic planning and orchestration for multi-tool tasks; no brittle prompt spaghetti.
  • Agents: Build agentic systems from standard APIs—no custom glue. Connect MCP clients across platforms.
Continue reading on GitHub

OpenAI Tools MCP server — FAQ

Common questions about connecting and running OpenAI Tools.

  • Do I need to rewrite my API to use HAPI MCP?

    No. HAPI MCP transforms your existing OpenAPI spec directly into MCP tools. Your authentication, validation, rate limits, and business logic remain unchanged and inherited by the MCP layer.

  • How do I get started with HAPI MCP?

    Install the HAPI CLI from the GitHub releases, point it at your OpenAPI/Swagger spec, and run `hapi serve path/to/swagger.json --headless`. Your API becomes an MCP server in minutes.

  • Which MCP clients can use tools created by HAPI?

    Any MCP client: ChatGPT, Claude, QBot, chatMCP, and custom orchestrators. HAPI is vendor-neutral and works across platforms.

  • How does HAPI handle security and compliance?

    Your API remains the single source of truth. Scoped credentials, RBAC, rate limits, and audit logs flow through automatically from your existing API layer—no shadow logic or duplicate governance.

  • What's the difference between HAPI MCP and other MCP servers?

    HAPI is the Headless API model: it lifts your existing OpenAPI specs directly into MCP without duplicating logic. runMCP handles scaling, OrcA handles deterministic orchestration, and your API stays the runtime.

Run OpenAI Tools across 30+ AI models, side-by-side

Connect OpenAI Tools to Claude, GPT, Gemini, DeepSeek and 30+ AI models in MCP Agent Studio. Compare answers side-by-side, save reusable agent presets, share runs — all in your browser, no install required.

Open Agent Studio

Related servers

More on MCP Playground