On Board (swisspra/On_Board) is an MCP server listed on the M8ven Trust Index. M8ven has not graded it: we have no way to read this server ourselves. No publisher has claimed this listing.

C
Limited view
69/100
28 days ago

On Board

On Board is a local MCP server that gives multiple AI agents and IDEs a shared project memory, ticket queue, and handoff history, so agents can seamlessly continue each other's work. It supports agent-to-agent wake events, enabling autonomous workflows like reject-fix-resubmit cycles without human relay.

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

swisspra

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
29 tools verified — handlers match their declared behaviour
14 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.
// 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.
configCURSOR_PROJECT_DIR
configCLAUDE_PROJECT_DIR
configAGENT_MEM_HOT_HOURS
configAGENT_MEM_MAX_HOT
configAGENT_MEM_THRIFT_COMPACT
configAGENT_MEM_VECTOR_BACKEND
configAGENT_MEM_IDLE_KIA_MIN
configAGENT_MEM_CONTEXT_DIRSOptional: add to the generated MCP config when agents
configAGENT_PROJECT_DIR"env": { "": "/full/path/to/your/project" }
configAGENT_MEM_DIR
// quality suggestions

Tool inputs are validated

24/29 tool handlers declare input schemas (83%)

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

Tool handlers catch errors

Only 1/29 tool handlers wrap calls in try/catch (3%)

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.

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 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/swisspra-on-board-1vt1q8)](https://m8ven.ai/mcp/swisspra-on-board-1vt1q8)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: 2fb5e52c0e13708e5fa53c2289543feee3bf4d61
code hash: 64a8298f8d70010d22a995f5c1ffafde4d3148ca26dabffa77a5db2c30bcc5bf
verified: 8/3/2026, 10:15:12 AM
view raw JSON →
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