agentscore-mcp (tmishra-sp/agentscore-mcp) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 3 tools. No publisher has claimed this listing.

Back to MCP Trust IndexM8ven
C
Emerging
74/100

agentscore-mcp

Three practical MCP tools to investigate agents, threads, and content trust signals.

→ tmishra-sp/agentscore-mcp· 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

tmishra-sp

Source: Glama

Is this your MCP?

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Install from

Glamanot scored here

The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.

// key findings
✅
3 tools verified — handlers match their declared behaviour
3 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.
🔐
You'll be asked for 4 credentials: AGENTSCORE_AUDIT_TOKEN, AGENTSCORE_HTTP_AUTH_TOKEN, GITHUB_TOKEN, MOLTBOOK_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// tools this server exposes3 tools

These names and descriptions are the publisher's own, read from the source code. We print them as written. Our assessment is the findings above, not this list.

agentscore

Score 1-5 AI agents for trustworthiness. Returns investigation briefings, comparison verdicts, risk flags, and trust badges. Use for: trust checks, comparisons, verifications, badge generation.

sweep

Analyze a thread or conversation for manipulation patterns. Detects coordinated bots, sock puppets, and astroturfing campaigns by scoring every participant and checking for content similarity, timing anomalies, and amplification signals.

xray

X-ray content for hidden AI-targeted payloads. Detects concealed instructions in markdown, HTML, code, and text before an agent consumes it, including hidden comments, invisible unicode, CSS-hidden text, encoded payloads, code comments, and structural hiding tricks.

// 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.
configAGENTSCORE_ADAPTERAnalyze public profiles and threads github export =github
configAGENTSCORE_AUDIT_MAX_ENTRIES500 In-memory cap for retained policy audit events
🔐 secretAGENTSCORE_AUDIT_TOKENexport =replace-with-strong-token
configAGENTSCORE_CACHE_TTL86400 Score cache TTL in seconds
configAGENTSCORE_DATA_PATHEvaluate internal or controlled datasets json export AGENTSCORE_ADAPTER=json + set
configAGENTSCORE_ENABLED_TOOLSexport =agentscore,sweep,xray
configAGENTSCORE_ENFORCEexport =true
🔐 secretAGENTSCORE_HTTP_AUTH_TOKENexport =replace-with-strong-token
configAGENTSCORE_HTTP_HOSTexport =127.0.0.1
configAGENTSCORE_HTTP_PATHexport =/mcp
configAGENTSCORE_HTTP_PORTexport =8787
configAGENTSCORE_PUBLIC_MODEexport =true
configAGENTSCORE_RATE_LIMIT_MS200 Moltbook adapter request delay (ms)
configAGENTSCORE_TRANSPORTexport =http
🔐 secretGITHUB_TOKENoptional: export =ghp_... # higher rate limit
🔐 secretMOLTBOOK_API_KEYAnalyze live Moltbook agents moltbook export AGENTSCORE_ADAPTER=moltbook + set
// quality suggestions

All four hints declared on every tool

3/3 tools missing one or more hints — agentscore (missing: destructiveHint); sweep (missing: destructiveHint); xray (missing: destructiveHint). 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

Only 0/3 tool handlers declare input schemas (0%)

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

Tool handlers catch errors

2/3 tool handlers wrap calls in try/catch (67%)

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

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/tmishra-sp/agentscore-mcp)](https://m8ven.ai/mcp/tmishra-sp/agentscore-mcp)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: 98a483cae49042b6630436cdd01df1f278f7e3be
code hash: 4811e10654294fec16e012b446a8b53fddf3ce7ff3b600db4b967e8d326efadd
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