74
grade C
11 days ago
mcp_so

Deep-research

MCP Deep Research Server using Gemini creating a Research AI Agent

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// key findings
⚠️
Known vulnerabilities in dependencies: 2 high
Affects packages this MCP installs at runtime. Upgrade or remove the affected dependency.
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: EXA_API_KEY, GEMINI_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configCHUNK_SIZE
configCONCURRENCY_LIMIT
configENABLE_GEMINI_CODE_EXECUTION
configENABLE_GEMINI_FUNCTIONS
configENABLE_GEMINI_GOOGLE_SEARCH
configENABLE_PROVIDER_CACHE
configENABLE_URL_CONTEXT
🔐 secretEXA_API_KEY
configGEMINI_API_ENDPOINT
🔐 secretGEMINI_API_KEY
configGEMINI_CANDIDATE_COUNT
configGEMINI_EMBEDDING_MODEL
configGEMINI_MAX_OUTPUT_TOKENS
configGEMINI_MODEL
configGEMINI_TEMPERATURE
configGEMINI_TOP_K
configGEMINI_TOP_P
configLOG_LEVEL
configLOG_PRETTY
configPROGRESS_COMPACT
configPROGRESS_REDACT_BODIES
configPROVIDER_CACHE_MAX
configPROVIDER_CACHE_TTL_MS
configTHINKING_BUDGET_TOKENS
configTIKTOKEN_ENCODING
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// 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/ssdeanx-deep-research-mcp-server-1v9fo6)](https://m8ven.ai/mcp/ssdeanx-deep-research-mcp-server-1v9fo6)
commit: 3b9d7171eaa0ecda735bb28943f750401c5d7e72
code hash: a65f4349c5457fe37a175071c8d45a673b6a18bda9fccffa13eeb1c5310b5629
verified: 4/10/2026, 5:37:42 PM
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