fmp-mcp-research (FGHMX/fmp-mcp-research) is an MCP server listed on the M8ven Trust Index. M8ven has not graded it: there is no public source to read and no endpoint we can reach, so there is nothing for us to inspect. No publisher has claimed this listing.

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C
Limited view
69/100
25 days ago

fmp-mcp-research

A remote MCP server for ChatGPT that exposes read-only Financial Modeling Prep tools to build strict buy-side earnings-call evidence packs and score catalyst reports.

→ FGHMX/fmp-mcp-research· 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

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Who stands behind it

FGHMX

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.
🔐
You'll be asked for 1 credential: FMP_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.
🔐 secretFMP_API_KEY
configEARNINGS_OUTPUT_DIR
configFMP_BASE_URL
configFMP_TIMEOUT_SECONDS
configFMP_MAX_LIMIT
configSEC_DATA_BASE_URL
configSEC_BASE_URL
configSEC_TIMEOUT_SECONDS
configSEC_MAX_SUPPLEMENTAL_SUBMISSION_FILES
configSEC_EARNINGS_RELEASE_SCAN_LIMIT
Deployment configuration, supplied by whoever hosts the server. Users are not asked for these.
deployPORT
// 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 — fmp_get_company_profile (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); fmp_list_transcript_dates (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); fmp_get_earnings_call_prepared_remarks (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 handlers catch errors

Only 0/11 tool handlers wrap calls in try/catch (0%)

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

License file

No license file

Add a LICENSE file (MIT, Apache-2.0, etc.).

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/fghmx-fmp-mcp-research-1d03xm)](https://m8ven.ai/mcp/fghmx-fmp-mcp-research-1d03xm)
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commit: 2fa968bb86304edb180ba4182d776ba5893fd01d
code hash: 85ad481525f90be025f372377ccaa087c3bcea7aa150f4dd1a580c0ee8fc7353
verified: 8/2/2026, 9:02:24 AM
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