Vertex AI MCP Server
Implementation of Model Context Protocol (MCP) server that provides tools for accessing Google Cloud's Vertex AI Gemini models, supporting features like web search grounding and direct knowledge answering for coding assistance and general queries.
Knowledge & Memory (RAG)
npm 0 platforms
0 features
Install
npx -y vertex-ai-mcp-server
Paste the configuration above into your MCP client config (claude_desktop_config.json for Claude Desktop) and restart the client.
{
"mcpServers": {
"vertex-ai-mcp-server": {
"command": "npx",
"args": [
"-y",
"vertex-ai-mcp-server"
],
"env": {
"VERTEX_AI_MODEL_ID": "<VERTEX_AI_MODEL_ID>",
"GOOGLE_CLOUD_PROJECT": "<GOOGLE_CLOUD_PROJECT>",
"GOOGLE_CLOUD_LOCATION": "<GOOGLE_CLOUD_LOCATION>",
"VERTEX_AI_MAX_RETRIES": "<VERTEX_AI_MAX_RETRIES>",
"VERTEX_AI_TEMPERATURE": "<VERTEX_AI_TEMPERATURE>",
"VERTEX_AI_USE_STREAMING": "<VERTEX_AI_USE_STREAMING>",
"VERTEX_AI_RETRY_DELAY_MS": "<VERTEX_AI_RETRY_DELAY_MS>",
"VERTEX_AI_MAX_OUTPUT_TOKENS": "<VERTEX_AI_MAX_OUTPUT_TOKENS>"
}
}
}
}Paste the configuration above into your MCP client config (claude_desktop_config.json for Claude Desktop) and restart the client.
Sources: public MCP Server directories. This is an independent third-party directory with no affiliation to or endorsement from the maintainers of the listed servers.
