MCP.Market

Inspectrum MCP server

by yannmenec·io.github.yannmenec/inspectrum·v0.2.3·2 stars

Review coding-agent plans on demand with peer models, attributed findings, and a structured verdict.

A92/100grade A
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Safety scan
A92/100

full report

Adoption
Growing

2 stars39 downloads/wk

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Inspectrum tools (1)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • review_plan

    Review a development/architecture plan with peer LLMs and return a consolidated verdict

Public scan report

scanner v0.1.9 · 2026-09-24 · same rubric, same numbers if you re-run it

no findings
  • Code scan54 source files scanned25/25
  • –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 12 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 92/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Inspectrum compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
92/100
higher than 90% of 4,460 AI and agents servers
Tools
1
the typical AI and agents server has 6
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
2
more than 65% of 2,711 AI and agents servers
Downloads a week
39
more than 31% of 1,538 AI and agents servers with a package

What its tools let an agent do: 1 read

Install Inspectrum in Claude Code, Cursor or VS Code

Runs npx -y inspectrum on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add inspectrum -- npx -y inspectrum
Add to Cursor

What the publisher says

From the Inspectrum repository's README, as published. We do not edit it. Read it on GitHub

Inspectrum

Independent review before a risky agent change becomes hard to undo.

Claude plans it. GPT reviews it. You approve it.

A plausible plan can commit an agent to a migration, authentication change, payment flow, compatibility break, or deployment that is expensive to undo.

Inspectrum is an independent pre-flight check before that decision. Its first automatic integration runs when Claude Code exits plan mode: Codex (GPT) reviews the plan before the approval dialog reaches you, findings can send the plan back for revision, and you keep final approval. If the reviewer cannot run, the plan passes through with a visible warning instead of being silently reported as reviewed.

Here, independent means a reviewer distinct from the author model, invoked separately. It does not mean their errors are statistically independent. Inspectrum makes the checkpoint repeatable and its failures visible; a net reliability gain and a defensible moat are not yet proven. The post-0.2.2 strategy defines the evidence gates and keeps code review, pull-request review, and pair programming out of scope.

When a skill is enough

For an occasional second opinion, a rule can tell one agent to call another and compare the replies. That is a reasonable lightweight option.

Inspectrum is for the repeatable checkpoint. In Claude Code, the plugin runs at the plan-to-execution boundary without relying on a remembered prompt, caps revision loops, and fails open on operational errors. Other local MCP hosts can call the same review_plan contract on demand. Both paths keep findings attributed, return a common verdict shape, preserve human control, and write local evidence for successful reviews.

Recreating those guarantees with a skill means maintaining the orchestration, output validation, health checks, failure policy, and session record yourself.

Public availability as of 1 August 2026: npm 0.2.3, the GitHub release, and the repository's Claude and Codex plugins are aligned on 0.2.3. Glama is public. The MCP Registry may still show 0.2.2; it was not republished in this pass. Inspectrum was not in the public Claude Community catalog, while PulseMCP blocked the one-time recheck with HTTP 403, so no current PulseMCP listing claim is made.

The public 0.2.3 activation evidence records exact commands, timings, one useful finding, one null result, one visible fail-open case, and the limits of the measurement.

Quick start

You need Node 20+, Claude Code, and Codex CLI >= 0.99.0 authenticated with a ChatGPT subscription (no API key):

claude plugin marketplace add yannmenec/inspectrum
claude plugin install inspectrum@inspectrum

That's the whole install. Next time you finish a plan in plan mode:

⏺ ExitPlanMode
  ⎿  inspectrum×codex: REVISE (round 1/2)          # abridged — real output
     Majors:                                       # adds a full-report path
     - [codex] Migration drops the unique index before backfilling —
       concurrent writes can insert duplicates.
       Fix: backfill first, drop the index last.
     Revise the plan to address these findings, then finish the plan again.

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Inspectrum: common questions

Is Inspectrum MCP server safe?
Yes, by our scan: it is graded A (92/100). Read the Inspectrum safety report
How do I install Inspectrum?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Inspectrum need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Inspectrum maintained?
The last commit was 53 days ago (2026-09-12). The latest release is v0.2.3.
What can I use instead of Inspectrum?
Servers from other publishers that do the same job: Agent-Native Plan MCP server, Maple MCP server and Serena MCP: the IDE for your agent MCP server.
How does Inspectrum compare with other AI and agents MCP servers?
safety score 92/100 (higher than 90% of 4,460 AI and agents servers); tools 1 (the typical AI and agents server has 6); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

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