Recruit CRM MCP (ebragas/recruitcrm-mcp) 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.

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C
Limited view
69/100
2 months ago

Recruit CRM MCP

MCP server for Recruit CRM, enabling AI assistants to search candidates, view jobs, and manage recruiting workflows.

→ ebragas/recruitcrm-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

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

ebragas

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: RECRUIT_CRM_API_KEY
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.
🔐 secretRECRUIT_CRM_API_KEY"": "your-api-key-here"
configRCRM_SMOKE_WRITES
configRECRUIT_CRM_MCP_ENVno production Sentry environment tag.
configRECRUIT_CRM_MCP_SENTRY_TRACES_RATEIf transaction volume is a concern (free Sentry plans cap at 5K events/month), set =0.2 for 20% sampling, or 0.0 to disable tracing entirely while keeping error capture.
Deployment configuration, supplied by whoever hosts the server. Users are not asked for these.
deployRECRUIT_CRM_MCP_SENTRY_DSN
deploySENTRY_DSN
// 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

53/53 tools missing one or more hints — ping (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); search_candidates (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_candidate (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +50 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 inputs are validated

41/53 tool handlers declare input schemas (77%)

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

Tool handlers catch errors

Only 19/53 tool handlers wrap calls in try/catch (36%)

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 5 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/ebragas-recruitcrm-mcp-b0bfvk)](https://m8ven.ai/mcp/ebragas-recruitcrm-mcp-b0bfvk)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: 74b287d821fcdbe9fbc233bc720c715e38e36901
code hash: 8bdb438b5d9839ddcda544e32bba3c4b380f646e20bb54d2881f6015a22da85f
verified: 6/16/2026, 1:25:50 PM
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