Mmcp.market

Revelara MCP server

by revelara.ai·ai.revelara/mcp·v1.26.0

Reliability intelligence: production incidents, risk register, controls catalog, knowledge graph.

A93/100grade A
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Safety scan
A93/100

full report

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If you have run it, two minutes of your experience saves the next person an afternoon.

Revelara tools

Tool list not cached yet. `describe` through the gateway fetches it live.

Public scan report

scanner v0.1.5 · 2026-09-19 · same rubric, same numbers if you re-run it

no findings
  • Code scanremote-only server, no package to scann/a
  • Live reliabilityremote reachable in 123ms (auth required)20/20
  • Tool poisoningtools not inspected (endpoint requires auth); not countedn/a
  • Auth qualityOAuth resource metadata advertised on 40115/15
  • Maintenancelast push 5 days ago15/15
  • Maintainer identitynamespace and repository owner differ; website matches verified namespace6/10
Overall 93/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

Install directly

claude mcp add --transport http mcp https://api.revelara.ai/mcp
Add to Cursor

Revelara: common questions

Is Revelara MCP server safe?
Yes, by our scan: it is graded A (93/100). Read the Revelara safety report
How do I install Revelara?
It runs remotely at api.revelara.ai. Add it to Claude Code, Claude Desktop or Cursor with the snippets above, or call it through the mcp.market gateway without installing anything.
Does Revelara need an API key?
No key to paste: it signs you in with OAuth when your client connects.
Is Revelara maintained?
The last commit was 6 days ago (2026-09-15). The latest release is v1.26.0.
Is Revelara up?
100% of our last 7 checks got an answer. We check remote servers about four times a day.
What can I use instead of Revelara?
Servers from other publishers that do the same job: Codebase Memory MCP server.

Alternatives to Revelara

Same job from other publishers: the closest match first, then the best rated.

  • Codebase Memory
    Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
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