MCP Decoy Server (gweber/mcp-decoy) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 38 tools. No publisher has claimed this listing.

Back to MCP Trust IndexM8ven
C
Emerging
74/100
1 month ago

MCP Decoy Server

A deception-based threat detection server that impersonates enterprise MCP integrations to log and forward attacker interactions to SIEM systems. It provides convincing fake responses across 38 tools while capturing forensic details of all MCP tool calls.

→ gweber/mcp-decoy· 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

gweber

Source: Glama

Is this your MCP?

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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: DASHBOARD_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.
🔐 secretDASHBOARD_TOKEN_(unset)_ Optional bearer token for /api/ and dashboard data access. MCP decoy endpoints stay unauthenticated
configSERVER_NAMEenterprise-integrations MCP serverInfo.name sent to clients during handshake
Deployment configuration, supplied by whoever hosts the server. Users are not asked for these.
deployPORT
// 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

38/38 tools missing one or more hints — bitbucket_search_repositories (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); bitbucket_search_code (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); bitbucket_search_artifacts (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +35 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.

Shell command execution

1 child_process call — runs shell commands

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 3 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/gweber/mcp-decoy)](https://m8ven.ai/mcp/gweber/mcp-decoy)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: f8f75b8185e58f6cd123ed631ae69dd63ad2f169
code hash: 49bd44cd4faeb150772c4ce0f8ca6cf4cb15a7e264af0f0189b2810af14231da
verified: 8/6/2026, 2:56:49 PM
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