OpenAI Tools MCP Server
VerifiedTransform OpenAPI specs into MCP tools automatically.
What is the OpenAI Tools MCP Server MCP server?
HAPI MCP lifts OpenAPI catalogs into MCP tools automatically, separating design contracts from runtime execution. Existing APIs become agent-ready without new business logic or sidecar services.
Key components include HAPI Server for transformation, runMCP for scaling, and OrcA for deterministic multi-tool orchestration across clients like ChatGPT and Claude.
Install & connect
Add this to your MCP client config. Pick your client below and copy.
{
"mcpServers": {
"openai-tools": {
"url": "https://openai-tools.run.mcp.com.ai/mcp"
}
}
}Example prompts
Once connected, try asking your AI client:
Security & permissions
Requires OpenAI or target API credentials; runs as remote streamable-http server and inherits auth from the original OpenAPI spec.
What you can do with OpenAI Tools MCP Server
API Modernization
Convert legacy OpenAPI specs into MCP-compatible tools for AI agents in minutes.
Compliance Preservation
Inherit existing RBAC, rate limits, and audit logs without adding shadow logic.
Multi-Client Deployment
Expose the same API tools to ChatGPT, Claude, QBot, and custom orchestrators.
How to use OpenAI Tools MCP Server
- 1Install HAPI CLI from the GitHub releases.
- 2Prepare your OpenAPI or Swagger specification file.
- 3Run: hapi serve path/to/swagger.json --headless
- 4Connect any MCP client to the resulting server endpoint.
- 5Test tools directly in ChatGPT, Claude, or QBot.
OpenAI Tools MCP Server: pros & cons
Pros
- +No code rewrites or duplicate logic required
- +Instant updates when the source spec changes
- +Inherits all existing API governance and security
- +Works with any OpenAPI 3.0+ compliant spec
Cons
- –Depends on quality and completeness of the input spec
- –No built-in tools for OpenAI image or audio generation documented
- –Requires separate MCP client for interaction
Frequently asked questions
No. HAPI MCP uses your existing OpenAPI spec directly.
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