Mmcp.market

Causari MCP server

by croviatrust·io.github.croviatrust/causari·v0.2.0

Records what an AI agent did in a repo (prompt, model, files) and answers why a line exists.

B83/100grade B
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Safety scan
B83/100

full report

Adoption
Growing

7 stars

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

Causari tools

No tool declarations could be read from the package source. They show once the server is installed.

Public scan report

scanner v0.1.9 · 2026-09-20 · same rubric, same numbers if you re-run it

no findings
  • Code scanpackage could not be scannedn/a
  • Live reliabilityno gateway calls yet and no remote to proben/a
  • Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 0 days ago15/15
  • Maintainer identityregistry namespace matches repository owner6/10
Overall 83/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

Install directly

The registry entry has no remote endpoint or installable package.

Causari: common questions

Is Causari MCP server safe?
Mostly: it is graded B (83/100). Read the Causari safety report
Does Causari need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Causari maintained?
The last commit was in the last day (2026-09-20). The latest release is v0.2.0.
What can I use instead of Causari?
Servers from other publishers that do the same job: Agent-Native Analytics MCP server, Mockserver MCP server and Image MCP server. Compare all Causari alternatives.

Alternatives to Causari

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  • Mockserver
    Mock, record/replay, verify and chaos-test any HTTP, REST, gRPC or LLM dependency over MCP.
    A
  • Image
    AI image generation and editing with prompt optimization and quality presets
    B
  • llmtrim
    MCP server and proxy that compresses LLM prompts, tool output, and replies to cut token cost.
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  • CHAP Coordinator
    Auditable records of human decisions over AI agent work. Approvals, edits, overrides, escalations.
    A

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