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HarnessScope MCP server

by moongioh·io.github.moongioh/hscope·v0.1.3·1 stars
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Turn-level governance observability for Claude Code transcripts. Local-first, no LLM inside.

A88/100grade A
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Safety scan
A88/100

full report

Adoption
New

1 stars26 downloads/wk

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

HarnessScope 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 · 2026-09-26 · same rubric, same numbers if you re-run it

no findings
  • Code scan2 source files scanned; 50 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 75 days ago12/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 88/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How HarnessScope compares

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

Safety score
88/100
higher than 80% of 4,460 AI and agents servers
GitHub stars
1
more than 50% of 2,711 AI and agents servers
Downloads a week
26
more than 12% of 1,538 AI and agents servers with a package

Install HarnessScope in Claude Code, Cursor or VS Code

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

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

What the publisher says

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

HarnessScope

<!-- mcp-name: io.github.moongioh/hscope -->

Turn-level governance observability for agent harnesses. HarnessScope reads the transcripts your agent harness already writes, judges every turn against your workspace's own operating rules (plan-before-code, verify-before-done, context budget, path boundaries, …), and serves a local viewer that shows how each session traversed that governance structure — passes included, not just violations.

Every frame above is hscope demo: a synthetic corpus, generated locally. Real transcripts carry full prompt text and are never demo material.

What it found

A session is not one model talking to itself — it spawns subagents, they run on models the parent does not, and a streamed response writes the same request several times. Read that structure naively and the numbers are wrong. These are the corrections, each measured on this project's own transcripts:

The last row is the one that matters most, and it is the youngest: it was found after v0.1.3 shipped, by pointing the tool at its own workspace and reading the answer. The same class of mistake as row one, one layer further down, in code that had already passed its own tests. A tool that claims to catch a governance failure had better survive being aimed at itself — so that is now the standing use of it, and what it said next was worse.

Shortened. The full README is on GitHub.

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

HarnessScope: common questions

Is HarnessScope MCP server safe?
Yes, by our scan: it is graded A (88/100). Read the HarnessScope safety report
How do I install HarnessScope?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does HarnessScope need an API key?
No secret keys are declared. It reads 2 settings from the environment.
Is HarnessScope maintained?
The last commit was 114 days ago (2026-07-13). The latest release is v0.1.3.
What can I use instead of HarnessScope?
Servers from other publishers that do the same job: Basic Memory MCP server, HOL Guard MCP server and Agent-Native Chat MCP server.
How does HarnessScope compare with other AI and agents MCP servers?
safety score 88/100 (higher than 80% of 4,460 AI and agents servers); github stars 1 (more than 50% of 2,711 AI and agents servers); downloads a week 26 (more than 12% of 1,538 AI and agents servers with a package). Full comparison.

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