prismhr-mcp (nikulk2992-jpg/prismhr-mcp) is an MCP server listed on the M8ven Trust Index. It scores 73 out of 100, grade C. It declares 1 tool. No publisher has claimed this listing.

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C
Limited view
73/100
17 days ago

prismhr-mcp

MCP server for PrismHR, enabling AI agents to automate payroll, benefits, compliance, and billing tasks with verified-schema tools and scope-gated consent.

→ nikulk2992-jpg/prismhr-mcp· 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

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Who stands behind it

nikulk2992-jpg

Source: Glama

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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 3 credentials: PRISMHR_MCP_PASSWORD, INTACCT_SENDER_PASSWORD, INTACCT_USER_PASSWORD
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.
configPRISMHR_MCP_PEO_ID$env: = "<your-peo-id>"
configPRISMHR_MCP_USERNAME$env: = "<your-api-username>"
🔐 secretPRISMHR_MCP_PASSWORD$env: = "<paste>"
configDOGFOOD_MAX_CLIENTS
configDOGFOOD_CLIENT_ID
configDOGFOOD_YEAR
configDOGFOOD_MONTH
configDOGFOOD_LOOKBACK_DAYS
configDOGFOOD_MAX_EMPLOYEES
configDOGFOOD_OUT_DIR
configDOGFOOD_TOLERANCE
configPROBE_CLIENT_ID
configPROBE_EMPLOYEE_ID
configPROBE_BATCH_ID
configDOGFOOD_EMPLOYER_ID
configDOGFOOD_TRACE
configPRISMHR_MCP_FALLBACK_CLIENT
configINTACCT_SENDER_ID
🔐 secretINTACCT_SENDER_PASSWORD
configINTACCT_COMPANY_ID
configINTACCT_USER_ID
🔐 secretINTACCT_USER_PASSWORD
configINTACCT_ENTITY_ID
// 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

1/1 tools missing one or more hints — fn (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint). 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.

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 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/nikulk2992-jpg-prismhr-mcp-v6egqw)](https://m8ven.ai/mcp/nikulk2992-jpg-prismhr-mcp-v6egqw)
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commit: 7c4b042b2df301afe5faec55664495cf290c5c39
code hash: 0bec8eb31ec130aa15072e859ed05aaac327fc37aafc29bc881fa4a42ac796d8
verified: 8/7/2026, 3:57:13 AM
view raw JSON →
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