shariqriazz/vertex-ai-mcp-server

4.1

ai_chatbot developer_tools research_and_data file_systems

vertex-ai-mcp-server is hosted online, so all tools can be tested directly either in theInspector tabor in theOnline Client.

If you are the rightful owner of vertex-ai-mcp-server and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

This project implements a Model Context Protocol (MCP) server that provides a comprehensive suite of tools for interacting with Google Cloud's Vertex AI Gemini models, focusing on coding assistance and general query answering.

Try vertex-ai-mcp-server with chat:

MCPHub score:4.08

Has a README

Github repo has a README.md.

Has a License

Github repo has license info.

Server can be inspected

View server inspector

Server schema can be extracted

Can get at lease one tool info from the README or server.

Online hosted on MCPHub

Can be automatically deployed by MCPHub.

Has social accounts

Do not have any social accounts.

Claimed by the author or certified by MCPHub

If you are the author, claim authorship

AI Evaluation Report
Total Score: 9/10

The agent demonstrates a strong ability to provide detailed and accurate comparisons between complex technologies, as evidenced by its comprehensive analysis of the differences between GPT-4 and GPT-4o models. The response was well-structured, clear, and aligned with the latest available data, indicating effective use of both internal knowledge and web search capabilities. However, the evaluation is based on a single interaction, and further testing across a broader range of tasks would be necessary to fully assess the agent's capabilities and limitations. Overall, the agent shows promise in delivering high-quality, informative responses.

Test case 1
Score: 9/10
What are the key differences between OpenAI's GPT-4 and GPT-4o models in terms of capabilities and performance?
GPT-4o represents a significant advancement over GPT-4, particularly in its enhanced handling of various modalities like text, voice, and vision. It showcases improvements in speed, cost-effectiveness, and overall performance, especially in non-English languages. GPT-4o's ability to natively process audio and video inputs marks a substantial leap, offering more natural and interactive conversational experiences compared to GPT-4.

Key Differences

Multimodal Capabilities:

GPT-4o: Handles text, audio, image, and video inputs natively, allowing for integrated and seamless processing across different modalities.

GPT-4: While multimodal, may rely on separate systems or APIs for different types of inputs, potentially leading to delays or inconsistencies.

Performance and Speed:

GPT-4o: Reportedly twice as fast as GPT-4 and more cost-effective, being 50% cheaper to use via the API. Improved performance, particularly with non-English languages.

Audio Processing:

GPT-4o: Can respond to audio inputs in as little as 232 milliseconds, mimicking human response times. It has improved voice tone recognition and can generate responses in various styles.

Vision Capabilities:

GPT-4o: Significantly enhanced vision capabilities, allowing for a deeper understanding and discussion of images.

API and Accessibility:

GPT-4o: Rolling out with free access for all users (with usage limits), while GPT-4 may be limited to paid subscribers or those with API access.

Author

shariqriazz

Claim Ownership

Verify you have write access to the repository

Repository

https://github.com/shariqriazz/vertex-ai-mcp-server

GitHub Stars

License

MIT License

Last publish date

2025-04-20

Last update date

2025-08-12

Server configs

in claude desktop

{
  "mcpServers": {
    "vertex-ai-mcp-server": {
      "command": "bunx",
      "args": [
        "-y",
        "@shariqriazz/vertex-ai-mcp-server"
      ],
      "env": {
        "AI_PROVIDER": "vertex",
        "GOOGLE_CLOUD_PROJECT": "YOUR_GCP_PROJECT_ID"
      }
    }
  }
}

in cline

{
  "mcpServers": {
    "vertex-ai-mcp-server": {
      "command": "node",
      "args": [
        "/full/path/to/your/vertex-ai-mcp-server/build/index.js"
      ],
      "env": {
        "AI_PROVIDER": "vertex",
        "GOOGLE_CLOUD_PROJECT": "YOUR_GCP_PROJECT_ID"
      },
      "disabled": false,
      "timeout": 3600
    }
  }
}

via npx in cline

{
  "mcpServers": {
    "vertex-ai-mcp-server": {
      "command": "bunx",
      "args": [
        "-y",
        "vertex-ai-mcp-server"
      ],
      "env": {
        "AI_PROVIDER": "vertex",
        "GOOGLE_CLOUD_PROJECT": "YOUR_GCP_PROJECT_ID"
      },
      "disabled": false,
      "timeout": 3600
    }
  }
}

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shariqriazz/vertex-ai-mcp-server

Try vertex-ai-mcp-server with chat:

Has a README

Has a License

Server can be inspected

Server schema can be extracted

Online hosted on MCPHub

Has social accounts

Claimed by the author or certified by MCPHub

AI Evaluation ReportTotal Score: 9/10

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