Gemini Research MCP Server (machinemates-ai/gemini-research-mcp) is an MCP server listed on the M8ven Trust Index. It scores 58 out of 100, grade D. It declares 12 tools. No publisher has claimed this listing.

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D
Caution
58/100

Gemini Research MCP Server

MCP server for AI-powered research using Gemini. Provides fast grounded web search, deep autonomous research, URL extraction, and session management.

→ machinemates-ai/gemini-research-mcp· listed on glama

Caution. Specific findings reduced this grade. They are listed on the page. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

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Who stands behind it

machinemates-ai

Source: Glama

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Install from

Glamanot scored here

The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.

// key findings
⚠️
Tool annotations don’t match behaviour
1 read-only tool performs write/delete/exec — export_research_session (line 1610: resolved_path.write_bytes(result.content))
✅
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 2 credentials: GOOGLE_API_KEY, GEMINI_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.
🔐 secretGOOGLE_API_KEY
🔐 secretGEMINI_API_KEYYes — [Google AI Studio API key](https://aistudio.google.com/apikey)
configGEMINI_MODELNo gemini-3.1-pro-preview Model for research_web
configDEEP_RESEARCH_AGENTNo deep-research-pro-preview-12-2025 Agent for research_deep
configGEMINI_SUMMARY_MODELNo gemini-3-flash-preview Model for session summaries (fast)
configGEMINI_RESEARCH_EXPORT_DIRBy default exports are written to
configFETCH_PROXY_URLIf proxy_url is omitted, the server falls back to when set.
configGEMINI_RESEARCH_STORAGE_PATH
configGEMINI_RESEARCH_TTL_SECONDS
// quality suggestions

All four hints declared on every tool

12/12 tools missing one or more hints — progress_demo (missing: destructiveHint, openWorldHint); progress_demo (missing: destructiveHint, openWorldHint); research_web (missing: destructiveHint, idempotentHint), +9 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 annotations match behaviour

1 read-only tool performs write/delete/exec — export_research_session (line 1610: resolved_path.write_bytes(result.content))

Either remove the readOnlyHint:true annotation, or remove the write/delete call from the tool handler.

Tool handlers catch errors

Only 5/12 tool handlers wrap calls in try/catch (42%)

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 4 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
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commit: 01f0238722534568b47a90676192c908f640ca45
code hash: 0d888e41956eb1ab2909538a82e831aa2d50154aa1f73c85e649dfb7a0d49fcc
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