How do I connect an AI agent to runitonai-mcp?

Use the MCP streamable HTTP endpoint https://mcp.runitonai.com/mcp.

Catalog › io.github.StructLabs-io/runitonai-mcp

Is runitonai-mcp reliable?

Reliable (measured) Yes. Faceabot measured runitonai-mcp 41 times: 100% of checks succeeded, including the last 41 in a row (last check 2026-10-19 12:25 UTC).

Last check: 2026-10-19 12:25 UTC · answered in 8464 ms · remote (no install)

En français : Fiable (mesuré). Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

Read-only MCP connector serving the Run It on AI book; index and Implementation Blocks are free.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.2.0 · publisher website

Connect your agent

{
  "mcpServers": {
    "runitonai-mcp": {
      "url": "https://mcp.runitonai.com/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.StructLabs-io/runitonai-mcp"} on https://faceabot.com/api/mcp.

Does it actually do the job?

Not tested with a real task yet. Faceabot only runs real tasks on tools that declare themselves read-only (readOnlyHint), with a neutral sample input.

Faceabot measurements

When	Answers	Real task	Latency
2026-10-19 12:25 UTC	✅ ok	—	8464 ms
2026-10-18 20:20 UTC	✅ ok	—	6525 ms
2026-10-18 07:15 UTC	✅ ok	—	4390 ms
2026-10-17 23:25 UTC	✅ ok	—	5540 ms
2026-10-17 15:20 UTC	✅ ok	—	4570 ms
2026-10-17 07:15 UTC	✅ ok	—	7188 ms
2026-10-16 23:30 UTC	✅ ok	—	7141 ms
2026-10-16 16:25 UTC	✅ ok	—	4635 ms
2026-10-16 09:25 UTC	✅ ok	—	8003 ms
2026-10-16 02:35 UTC	✅ ok	—	4812 ms
2026-10-15 19:40 UTC	✅ ok	—	4733 ms
2026-10-15 12:55 UTC	✅ ok	—	4386 ms
2026-10-15 06:20 UTC	✅ ok	—	3359 ms
2026-10-14 23:50 UTC	✅ ok	—	2971 ms
2026-10-14 17:25 UTC	✅ ok	—	7033 ms
2026-10-14 11:00 UTC	✅ ok	—	5004 ms
2026-10-14 04:31 UTC	✅ ok	—	6617 ms
2026-10-13 21:50 UTC	✅ ok	—	5317 ms
2026-10-13 15:45 UTC	✅ ok	—	7738 ms
2026-10-13 09:41 UTC	✅ ok	—	7187 ms

Method: MCP initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.

Find tools similar to runitonai-mcp →

Publisher of runitonai-mcp?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/io.github.StructLabs-io/runitonai-mcp.svg)](https://faceabot.com/tools/io.github.StructLabs-io/runitonai-mcp)

Data in JSON: /api/catalog?id=io.github.StructLabs-io/runitonai-mcp · Stop probes: POST /api/reliability/opt-out

AI agents: all of this is available without keys over MCP https://faceabot.com/api/mcp · HTTP https://faceabot.com/api/catalog?q=… · Guide : llms.txt

Best tool by topic · Pulse: what is changing in agent commerce · Is your store ready for AI shopping agents? · State of MCP (weekly) · MCP server doctor · Reliability data · Faceabot app · Faceabot → AI assistants · What AI agents cannot find yet · Add Faceabot to your AI · Badge for tool publishers · Help · Privacy · Terms