Back to MCP Trust Indexm8ven
C
Emerging
74/100
11 days ago

Habenula

A personal agent control harness that governs AI agents by checking every consequential action against user-defined rules, logging all actions to a tamper-evident audit chain, and providing a global kill switch. It runs as an MCP server sidecar to coding agents or standalone, keeping users in charge of what their agents can do.

→ habenula-ai/habenula-oss· 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

Verified is a snapshot. Live keeps it current, and builds your track record.

⚡ Connect GitHub → continuous verification on every pushwhy connect →

Who stands behind it

habenula-ai

Source: Glama

Is this your MCP?

Claim it to get a verified publisher badge, a free copy of our full audit findings, and direct contact for any high-priority issues we find. Or connect your repo for our deepest verification, Live Monitored: read-only, revoke anytime. What we access →

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Install from

Glama

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// key findings
✅
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.
🔐
You'll be asked for 1 credential: CREDENTIAL_ENCRYPTION_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// 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.
🔐 secretCREDENTIAL_ENCRYPTION_KEY$(openssl rand -hex 32)
configHABENULA_PERSIST_ROOTno Where engine state lives. Default ~/.habenula.
configHABENULA_PORTno Listen port. Default 8787.
configHABENULA_VALIDATE_PORT
// quality suggestions

Tool annotations

No tools have read-only/destructive annotations

Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.

All four hints declared on every tool

9/9 tools missing one or more hints — habenula_commission (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); habenula_status (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); habenula_result (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +6 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.

For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.

Tool inputs are validated

7/9 tool handlers declare input schemas (78%)

Declare an inputSchema with zod/joi/yup on every tool definition.

Tool handlers catch errors

8/9 tool handlers wrap calls in try/catch (89%)

Wrap each tool handler body in try/catch and return a structured error response.

Secrets not logged

2 secret values sent to console.log

Redact or omit secret values from log output.

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 5 concrete improvements 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/habenula-ai-habenula-oss-15q6el)](https://m8ven.ai/mcp/habenula-ai-habenula-oss-15q6el)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: eb5b9462f514a10a1312a76d7e09bb07c9598609
code hash: 50e4ed78cab9e5be6f6e21a523f455d56252840068c9a6ed2956589b904a058a
verified: 8/10/2026, 8:04:25 AM
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