ray.run
ray.run consolidates remote MCP servers and OpenAPI services behind a single virtual MCP endpoint. It centralizes credentials, provides one URL and token for MCP clients, and records calls in an audit log for developers operating AI agent tools.
Overview
6 featuresray.run is an API design, testing & docs project. It focuses on managing separate MCP servers, OpenAPI connections, credentials, and audit logs for AI agents. It is built as a B2B product for developers building and operating AI agent integrations. It runs on the web and API.
Among its 6 catalogued features are Unified MCP endpoint, openAPI services, and credential management. It exposes integrations via an MCP server and a public API.
Summary written by a language model from the project’s public pages.
- Unified MCP endpoint
- OpenAPI services
- Credential management
- Audit logging
- Token authentication
- Remote MCP connections
Built with & integrations
- React
- __remixManifest in the HTML
- Cloudflare
- cf-ray header · cf-cache-status header
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
Frequently asked questions about ray.run
- What is ray.run?
- Ray.run focuses on managing separate MCP servers, OpenAPI connections, credentials, and audit logs for AI agents. It is catalogued under API design, testing & docs on PulseGate.
- Who is ray.run for?
- ray.run is a B2B product built for developers building and operating AI agent integrations.
- What platforms does ray.run run on?
- ray.run runs on the web and API.
- Is ray.run still maintained?
- Unverified. ray.run has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
- Does ray.run have an API or integrations?
- Yes — ray.run exposes an MCP server and a public API.
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