google-research-mcp (thejusdutt/google-research-mcp) is an MCP server listed on the M8ven Trust Index. It scores 62 out of 100, grade C. It declares 11 tools. No publisher has claimed this listing.

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C
Caution
62/100

google-research-mcp

Implements Anthropic's multi-agent research architecture with subagent spawning, adaptive stopping, and citation processing for automated research.

→ thejusdutt/google-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

thejusdutt

Source: Glama

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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
⚠️
Known vulnerabilities in dependencies: 3 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 1 credential: GOOGLE_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// tools this server exposes11 tools

These names and descriptions are the publisher's own, read from the source code. We print them as written. Our assessment is the findings above, not this list.

google_search

Simple Google search for quick lookups. Returns snippets only. For deep research with full page content, use google_research or deep_search instead.

deep_search

Performs a comprehensive web search by querying Google, fetching the FULL content from top results using advanced content extraction (Readability algorithm), and returning consolidated content. Supports web, news, and image search types. Includes retry logic for reliability. This is TRUE deep res…

deep_search_news

Searches for recent news articles on a topic, fetches full article content, and returns consolidated results. Optimized for news and current events.

google_research

Perform extensive DEEP research on a topic using Anthropic's Multi-Agent Research Architecture. This tool implements the FULL multi-agent system: 1. **Lead Researcher (Orchestrator)**: Plans approach, coordinates subagents, synthesizes results 2. **Search Subagents**: Parallel workers for differen…

fetch_page

Fetch and extract the full readable content from a single URL. Uses Readability-style extraction to get the main content, removing navigation, ads, etc.

research_session

Create or manage a research session for multi-step research workflows. Actions: - create: Start a new session with Lead Researcher planning - status: Check session progress, subagents, and coverage - complete: Generate final report with citations

add_source

Add a source to a research session after fetching its content.

web_search

Search the web with source quality scoring. For full page content, follow up with fetch_page or use deep_search.

get_citations

Get formatted citations from a research session. Supports markdown, numbered, and APA formats.

run_subagent

Manually spawn and run a subagent for a specific research aspect. This allows fine-grained control over the multi-agent research process. The subagent will: 1. Generate queries for the aspect 2. Execute web searches 3. Fetch full page content 4. Evaluate findings 5. Return results

evaluate_coverage

Evaluate the current research coverage and identify gaps. This implements the "More research needed?" decision point from Anthropic's architecture.

// known CVEs in dependencies3 high

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

high@modelcontextprotocol/sdk@1.12.0GHSA-345p-7cg4-v4c7

@modelcontextprotocol/sdk has cross-client data leak via shared server/transport instance reuse

high@modelcontextprotocol/sdk@1.12.0GHSA-8r9q-7v3j-jr4g

Anthropic's MCP TypeScript SDK has a ReDoS vulnerability

high@modelcontextprotocol/sdk@1.12.0GHSA-w48q-cv73-mx4w

Model Context Protocol (MCP) TypeScript SDK does not enable DNS rebinding protection by default

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.
🔐 secretGOOGLE_API_KEY"": "your-api-key",
configGOOGLE_CX"": "your-search-engine-id"
// 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 — google_search (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); deep_search (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); deep_search_news (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.

Tests exist

No test files found

Add tests that exercise each declared tool.

Production dependencies are patched

0 critical, 3 high severity in production deps — @modelcontextprotocol/sdk@1.12.0 (high), @modelcontextprotocol/sdk@1.12.0 (high)

Run npm audit fix, or upgrade the affected packages to a non-vulnerable version.

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.
// embed badge in your README
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commit: 40521e4f21d6d05d216771149fabb4354a25a823
code hash: 331065ae78a936aec3c1660a9976f92a1e1c657761d042013cb6e44ac3e95d02
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