AI Workstation Open Source Intelligence MCP Server (zxhwolfe-dev/aiworkstation-open-source-intelligence) is an MCP server listed on the M8ven Trust Index. It scores 71 out of 100, grade C. It declares 10 tools. No publisher has claimed this listing.

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C
Limited view
71/100
1 month ago

AI Workstation Open Source Intelligence MCP Server

Enables researching, verifying, comparing, and composing open-source AI projects with transparent evidence and uncertainty boundaries through read-only tools.

→ zxhwolfe-dev/aiworkstation-open-source-intelligence· listed on glama

Limited view. Automated analysis covers part of this stack. Findings reflect what we verified. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

Limited view: static analysis for Python is partially covered.

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

zxhwolfe-dev

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 2 credentials: OSI_OAUTH_CLIENT_SECRET, OSI_BACKEND_SERVICE_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.
configOSI_PROVIDERmock osi-mcp
configAIWORKSTATION_RADAR_BASE_URL
configOSI_HTTP_TIMEOUT_SECONDS
configOSI_HYDRATE_LIMIT
configOSI_MCP_HTTP_HOST
configOSI_MCP_HTTP_PORT
configOSI_MCP_HTTP_MAX_REQUEST_BODY_BYTES
configOSI_MCP_HTTP_PUBLIC_BIND_ACK
configOSI_OAUTH_ISSUER_URL
configOSI_OAUTH_INTROSPECTION_URL
configOSI_OAUTH_RESOURCE_URL
configOSI_OAUTH_CLIENT_ID
🔐 secretOSI_OAUTH_CLIENT_SECRET
configOSI_OAUTH_REQUIRED_SCOPES
configOSI_OAUTH_INTROSPECTION_AUTH
configOSI_OAUTH_TIMEOUT_SECONDS
configOSI_BACKEND_BASE_URL
🔐 secretOSI_BACKEND_SERVICE_TOKEN
configOSI_BACKEND_TIMEOUT_SECONDS
configOSI_RATE_LIMIT_PER_MINUTE
configOSI_RATE_LIMIT_PER_HOUR
configOSI_PREMIUM_RATE_LIMIT_PER_MINUTE
configOSI_RATE_LIMIT_MAX_SUBJECTS
configOSI_LOG_LEVEL
configOSI_ACCEPTANCE_LEDGER_PATH
// 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

10/10 tools missing one or more hints — search_ai_projects (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_project_facts (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_license_evidence (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +7 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 handlers catch errors

Only 1/10 tool handlers wrap calls in try/catch (10%)

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/zxhwolfe-dev/aiworkstation-open-source-intelligence)](https://m8ven.ai/mcp/zxhwolfe-dev/aiworkstation-open-source-intelligence)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: 6c581fb1248ba963d4eb4aef0ea548f8f020188c
code hash: 954e5b5ee6426c191d088ba9ca5bef6475d664cc3eb34a630135bafa6c308175
verified: 8/8/2026, 8:37:31 AM
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