Open source MCP server for Vectara
🔌 Compatible with Claude Desktop, and any other MCP Client!
Vectara MCP is also compatible with any MCP client
The Model Context Protocol (MCP) is an open standard that enables AI systems to interact seamlessly with various data sources and tools, facilitating secure, two-way connections.
Vectara-MCP provides any agentic application with access to fast, reliable RAG with reduced hallucination, powered by Vectara’s Trusted RAG platform, through the MCP protocol.
You can install the package directly from PyPI:
pip install vectara-mcp
ask_vectara: Run a RAG query using Vectara, returning search results with a generated response.
Args:
Returns:
search_vectara: Run a semantic search query using Vectara, without generation.
Args:
Returns:
Add to your claude_desktop_config.json:
{
"mcpServers": {
"Vectara": {
"command": "uv",
"args": [
"tool",
"run",
"vectara-mcp"
]
}
}
}
Once the installation is complete, and the Claude desktop app is configured, you must completely close and re-open the Claude desktop app to see the Vectara-mcp server. You should see a hammer icon in the bottom left of the app, indicating available MCP tools, you can click on the hammer icon to see more detial on the Vectara-search and Vectara-extract tools.
Now claude will have complete access to the Vectara-mcp server, including the ask-vectara and search-vectara tools. When you issue the tools for the first time, Claude will ask you for your Vectara api key and corpus key (or keys if you want to use multiple corpora). After you set those, you will be ready to go. Here are some examples you can try (with the Vectara corpus that includes information from our website:
ask-vectara Who is Amr Awadallah?
search-vectara events in NYC?
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