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Vertex Ai MCP Server

Unclaimed

by shariqriazz

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

Install

$bunx vertex-ai-mcp-server

Set up this server

This server needs project-specific setup. Follow the project instructions; no reusable public launch command is available yet.

Project instructions
geminimcpmodel-context-protocoltypescriptvertex-ai

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29 of 29 tools

Documented tools (29)

From project documentation. A server handshake does not verify each tool’s description or behavior.

answer_query_direct

Answers a natural language query using only the internal knowledge of the configured Vertex AI model.

answer_query_websearch

Answers a natural language query using the configured Vertex AI model enhanced with Google Search results.

architecture_pattern_recommendation

Suggests architecture patterns for specific use cases based on industry best practices, with implementation examples and considerations.

code_analysis_with_docs

Analyzes code snippets by comparing them with best practices from official documentation, identifying potential bugs, performance issues, and security vulnerabilities.

database_schema_analyzer

Reviews database schemas for normalization, indexing, and performance issues, suggesting improvements based on database-specific best practices.

dependency_vulnerability_scan

Analyzes project dependencies for known security vulnerabilities, providing detailed information and mitigation strategies.

documentation_generator

Creates comprehensive documentation for code, APIs, or systems, following industry best practices for technical documentation.

edit_file_content

Makes line-based edits to a text file, returning a diff preview or applying changes.

execute_terminal_command

Execute a shell command, optionally specifying cwd and timeout. Returns stdout/stderr.

explain_topic_with_docs

Provides a detailed explanation for a query about a specific software topic by synthesizing information primarily from official documentation found via web search.

generate_project_guidelines

Generates a structured project guidelines document (Markdown) based on a specified list of technologies (optionally with versions), using web search for best practices.

get_directory_tree

Gets a recursive tree view of files and directories as JSON.

get_doc_snippets

Provides precise, authoritative code snippets or concise answers for technical queries by searching official documentation.

get_filesystem_info

Retrieves detailed metadata (size, dates, type, permissions) about a file or directory.

list_directory_contents

Lists files and directories directly within a specified path (non-recursive).

microservice_design_assistant

Helps design microservice architectures for specific domains, with service boundary recommendations and communication patterns.

move_file_or_directory

Moves or renames files and directories.

read_file_content

Read the complete contents of one or more files. Provide a single path string or an array of path strings.

regulatory_compliance_advisor

Provides guidance on regulatory requirements for specific industries (GDPR, HIPAA, etc.), with implementation approaches for compliance.

save_answer_query_direct

Answers a query using only internal knowledge and saves the answer to a specified file path.

save_answer_query_websearch

Answers a query using web search results and saves the answer to a specified file path.

save_doc_snippet

Finds code snippets from documentation and saves the result to a specified file path.

save_generate_project_guidelines

Generates project guidelines based on a tech stack and saves the result to a specified file path.

save_topic_explanation

Generates a detailed explanation of a topic based on documentation and saves the result to a specified file path.

search_filesystem

Recursively searches for files/directories matching a name pattern, with optional exclusions.

security_best_practices_advisor

Provides security recommendations for specific technologies or scenarios, with code examples for implementing secure practices.

technical_comparison

Compares multiple technologies, frameworks, or libraries based on specific criteria, providing detailed comparison tables with pros/cons and use cases.

testing_strategy_generator

Creates comprehensive testing strategies for applications or features, suggesting appropriate testing types with coverage goals.

write_file_content

Create new files or completely overwrite existing files. The 'writes' argument accepts a single object ({path, content}) or an array of such objects.

Tool change history

Compared across complete checks of the same configuration. Tools were listed, not invoked. Input-schema changes are not measured here.

No complete tool checks yet.

FAQ

Questions about Vertex Ai MCP Server

How do I connect Vertex Ai MCP Server to Claude?
The listing records `bunx vertex-ai-mcp-server` as its setup step. Run it, then follow the repository's instructions for the client configuration; the listing names Claude Desktop, Cline as compatible clients.
Is Vertex Ai MCP Server free?
The listed licence is MIT. Check the upstream terms for permitted use and commercial requirements; a public repository does not by itself mean the software is free or open source. Connected APIs and hosted services may have separate charges.
What can Vertex Ai MCP Server do?
Vertex Ai MCP Server documents 29 tools to the agent, including answer_query_direct, answer_query_websearch, architecture_pattern_recommendation. The descriptions above come from project documentation. A live handshake does not test individual tool behavior.