C
Limited view
67/100
9 days ago

precisioncalc-mcp

An MCP server that provides deterministic, high-precision business, finance, and operational calculations such as SaaS metrics, currency conversion, business days, and financial formulas, returning structured JSON results.

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.

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Who stands behind it

inity13

Source: Glama

Is this your MCP?

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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.
// known CVEs in dependencies1 low

Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.

lowesbuild@0.23.0GHSA-67mh-4wv8-2f99

esbuild enables any website to send any requests to the development server and read the response

Depend on this server? Get alerted when its CVEs change.Watch this server free →
// 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.
configPRECISIONCALC_FX_PROVIDERPRECISIONCALC_API_KEYS=key1,key2 =frankfurter python server.py http
configPRECISIONCALC_API_KEYSkey1,key2 PRECISIONCALC_FX_PROVIDER=frankfurter python server.py http
configPRECISIONCALC_HOST/ PRECISIONCALC_PORT 127.0.0.1 / 8000 HTTP bind
configPRECISIONCALC_PORTPRECISIONCALC_HOST / 127.0.0.1 / 8000 HTTP bind
configPRECISIONCALC_LOG_LEVEL/ _LOG_JSON INFO / 1 Logging
configPRECISIONCALC_LOG_JSON
configPRECISIONCALC_OTEL0 1 enables OpenTelemetry tracing if SDK present
configPRECISIONCALC_RATE_LIMIT_PER_MIN/ _BURST 120 / 40 Token-bucket limits
configPRECISIONCALC_RATE_LIMIT_BURST
configPRECISIONCALC_METRICS_PATH/metrics Usage-metrics endpoint
configPRECISIONCALC_FX_BASE_URL
configPRECISIONCALC_FX_TIMEOUT
configPRECISIONCALC_FX_TTL/ _TIMEOUT 3600 / 4 FX cache TTL / HTTP timeout (s)
// 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

11/11 tools missing one or more hints — calculate_metric (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); list_metrics (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); currency_convert (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +8 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

9/11 tool handlers declare input schemas (82%)

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

Tool handlers catch errors

Only 1/11 tool handlers wrap calls in try/catch (9%)

Wrap each tool handler body in try/catch and return a structured error response.

Tool test coverage

7/11 tools referenced in tests (64%)

Write tests that reference each tool by name so every tool has at least one test.

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/inity13-precisioncalc-mcp-1ucz71)](https://m8ven.ai/mcp/inity13-precisioncalc-mcp-1ucz71)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: d6f30caff6bda32f8d8050b5fa31982dcbe66866
code hash: 54240569b232043230d9e58077fc3d113d13af277c8b23b1b86012df112313f5
verified: 8/11/2026, 7:43:01 AM
view raw JSON →
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