Google AI Search MCP (shariqriazz/google-ai-search-mcp) is an MCP server listed on the M8ven Trust Index. It scores 51 out of 100, grade D. It declares 4 tools. No publisher has claimed this listing.

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D
Caution
51/100

Google AI Search MCP

Provides AI-powered search and documentation tools using Google Vertex AI or Gemini API with real-time web search grounding, enabling technical queries, code analysis, documentation retrieval, and architecture recommendations to overcome LLM knowledge gaps.

→ shariqriazz/google-ai-search-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

shariqriazz

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
⚠️
Known vulnerabilities in dependencies: 4 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: GEMINI_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// tools this server exposes4 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.

answer_query_websearch
generate_project_guidelines
technical_comparison
architecture_pattern_recommendation
// known CVEs in dependencies4 high1 low

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

high@modelcontextprotocol/sdk@0.6.0GHSA-w48q-cv73-mx4w

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

highminimatch@10.0.1GHSA-23c5-xmqv-rm74

minimatch ReDoS: nested *() extglobs generate catastrophically backtracking regular expressions

highminimatch@10.0.1GHSA-3ppc-4f35-3m26

minimatch has a ReDoS via repeated wildcards with non-matching literal in pattern

highminimatch@10.0.1GHSA-7r86-cg39-jmmj

minimatch has ReDoS: matchOne() combinatorial backtracking via multiple non-adjacent GLOBSTAR segments

lowdiff@7.0.0GHSA-73rr-hh4g-fpgx

jsdiff has a Denial of Service vulnerability in parsePatch and applyPatch

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.
configAI_MAX_OUTPUT_TOKENS"": "65536", // Default from .env.example
configAI_MAX_RETRIES
configAI_PROVIDERSet to either "vertex" or "gemini".
configAI_RETRY_DELAY_MS"": "1000",
configAI_TEMPERATURE"": "0.0",
configAI_USE_STREAMING"": "true",
🔐 secretGEMINI_API_KEYIf AI_PROVIDER="gemini", is required.
configGEMINI_MODEL_ID"": "gemini-2.5-pro", // If AI_PROVIDER="gemini"
configGOOGLE_CLOUD_LOCATION"": "us-central1", // Specific to Vertex AI
configGOOGLE_CLOUD_PROJECTIf AI_PROVIDER="vertex", is required.
configVERTEX_MODEL_ID"": "gemini-2.5-pro", // If AI_PROVIDER="vertex" (Example override)
// 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

4/4 tools missing one or more hints — answer_query_websearch (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); generate_project_guidelines (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); technical_comparison (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +1 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.

Secrets not logged

1 secret value sent to console.log

Redact or omit secret values from log output.

Production dependencies are patched

0 critical, 4 high severity in production deps — @modelcontextprotocol/sdk@0.6.0 (high), minimatch@10.0.1 (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 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 Verified](https://m8ven.ai/badge/mcp/shariqriazz/google-ai-search-mcp?variant=verified)](https://m8ven.ai/mcp/shariqriazz/google-ai-search-mcp)
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commit: e7ab979e81c80a4f11ab5b93da4179151a80f9b3
code hash: c2cbee91607ba93b1c2d161b312b20d1905f614d907cf6d69fe86ce77745a8a4
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