Vectara MCP Server
About
Vectara MCP Server provides any agentic application with access to fast, reliable RAG (Retrieval-Augmented Generation) with reduced hallucination, powered by Vectara’s Trusted RAG platform, through the Model Context Protocol (MCP). It is compatible with Claude Desktop and any…
Details
- Author
- vectara
- GitHub stars
- 27
- Downloads
- 206
- Categories
- Other
Jump to
- RAG query with generated answers via ask_vectara
- Semantic search without generation via search_vectara
- Hallucination detection and correction via correct_hallucinations
- Factual consistency evaluation via eval_factual_consistency
- Secure transport modes: HTTP, SSE, and STDIO
- API key management with one-time setup
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Vectara MCP ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install via pip install vectara-mcp and run with python -m vectara_mcp. Configure your Vectara API key via the VECTARA_API_KEY environment variable or the setup_vectara_api_key tool. For Claude Desktop, use the STDIO transport in your MCP configuration.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"vectara mcp server": {
"vectara": {
"command": "/Users/ofer/.local/bin/uv",
"args": [
"--directory",
"/Users/ofer/dev/vectara-mcp",
"run",
"server.py"
]
}
}
}
}McpServers
{
"vectara": {
"command": "/Users/ofer/.local/bin/uv",
"args": [
"--directory",
"/Users/ofer/dev/vectara-mcp",
"run",
"server.py"
]
}
}Vectara MCP Server
> 🔌 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.
Installation
You can install the package directly from PyPI:
pip install vectara-mcp
Quick Start
Secure by Default (HTTP/SSE with Authentication)
```bash
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