vertex-ai-mcp-server (shariqriazz/vertex-ai-mcp-server) is an MCP server listed on the M8ven Trust Index. It scores 58 out of 100, grade D. It declares 25 tools. No publisher has claimed this listing.

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D
Caution
58/100

vertex-ai-mcp-server

MCP server for Vertex AI and Gemini tools, including grounded answers, documentation research, and filesystem workflows.

→ shariqriazz/vertex-ai-mcp-server· listed on github_topic

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.

How we verified

Code Verified⚡ Live Monitored: not connected

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Who stands behind it

shariqriazz

Source: github_topic

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Install from

GitHub

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 exposes25 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
answer_query_direct
generate_project_guidelines
read_file_content
write_file_content
edit_file_content
list_directory_contents
get_directory_tree
move_file_or_directory
search_filesystem
get_filesystem_info
execute_terminal_command
save_generate_project_guidelines
save_topic_explanation
save_answer_query_direct
save_answer_query_websearch
technical_comparison
architecture_pattern_recommendation
dependency_vulnerability_scan
database_schema_analyzer
security_best_practices_advisor
testing_strategy_generator
regulatory_compliance_advisor
microservice_design_assistant
documentation_generator
// 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-exp-03-25", // 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-exp-03-25", // 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

25/25 tools missing one or more hints — answer_query_websearch (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); answer_query_direct (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); generate_project_guidelines (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +22 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
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commit: c71a7141feafa51fea049c677fa5b8c4c6286799
code hash: 84e96b90a94e4e22a0cfb494968e7e0b4cbea4a596b9b9fc039da44c775ebb58
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