Agent Observatory MCP Server (model-mischief-managed/agent-observatory) 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.

C
Emerging
74/100
9 days ago

Agent Observatory MCP Server

Provides access to Agent Observatory's live experiment data, including visit stats, AI crawler info, and self-classification endpoints. Enables AI agents to discover and interact with the observatory's passive research infrastructure.

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

model-mischief-managed

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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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
🔐
You'll be asked for 3 credentials: KV_REST_API_TOKEN, SELF_TOKEN, UPSTASH_REDIS_REST_TOKEN
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.
configHASH_SALT2. Set env vars (Project → Settings → Environment Variables): ,
🔐 secretKV_REST_API_TOKEN
configKV_REST_API_URL
configKV_URL
🔐 secretSELF_TOKEN, NEXT_PUBLIC_SITE_URL, NEXT_PUBLIC_EXPERIMENT_START (ISO).
🔐 secretUPSTASH_REDIS_REST_TOKEN
configUPSTASH_REDIS_REST_URL
Deployment configuration, supplied by whoever hosts the server. Users are not asked for these.
deployNEXT_PUBLIC_EXPERIMENT_START
deployNEXT_PUBLIC_SITE_URL
deployREDIS_URL
// 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

6/6 tools missing one or more hints — get_challenge (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); check_in (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); whoami (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +3 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.

License file

No license file

Add a LICENSE file (MIT, Apache-2.0, etc.).

Tests exist

No test files found

Add tests that exercise each declared tool.

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 4 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/model-mischief-managed-agent-observatory-15x951)](https://m8ven.ai/mcp/model-mischief-managed-agent-observatory-15x951)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: 2abc8738bbd89c6961800945bd0149dd74cc9d4f
code hash: 460fb23295c9ccf1a0be16d799cd13634c7b495f8d54ec0e637a35d1059f2ffe
verified: 8/17/2026, 7:41:39 PM
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