Adaptive Agent Harness (phenomenoner/adaptive-agent-harness) is an MCP server listed on the M8ven Trust Index. M8ven has not graded it: there is no public source to read and no endpoint we can reach, so there is nothing for us to inspect. No publisher has claimed this listing.

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C
Emerging
74/100
13 days ago

Adaptive Agent Harness

MCP server giving agents a persistent IPython workbench and a brokered RLM engine for durable, stateful computation. Offers 30 tools for bounded model calls, artifacts, and receipts with host-owned authority.

→ phenomenoner/adaptive-agent-harness· listed on glama

Emerging. No concerning findings. Grades remain capped until the project builds reputation through adoption. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

How we verified

Code Verified⚡ Live Monitored: not connected

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Who stands behind it

phenomenoner

Source: Glama

Is this your MCP?

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Install from

Glama

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// key findings
✅
30 tools verified — handlers match their declared behaviour
18 read-only tools verified — handlers contain no write/delete/exec
✅
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
✅
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
// environment variables
To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.
configAAR_DATABASE
configCOMSPEC
configCODEX_HOME
configAAR_RUNTIME_HOME
// quality suggestions

Shell command execution

3 child_process/subprocess calls in production code — runs shell commands (src/aar/runtime/programming.py:802, src/aar/runtime/programming.py:804, src/aar/runtime/programming.py:807)

Prefer library functions over shell-outs. If you must shell out, ensure all inputs are properly escaped.

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// improvement guidance — verified publishers only
We have 1 concrete improvement we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/phenomenoner-adaptive-agent-harness-1c345f)](https://m8ven.ai/mcp/phenomenoner-adaptive-agent-harness-1c345f)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: 265e78a076a055794e32a74e8939376ca4be9249
code hash: 752e2ced9cb1ac031ce21bdc2ecdc38f7edc724bde8d4cfc2c09307f80e83e0d
verified: 8/13/2026, 8:12:34 AM
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