Vectara MCP Server

Vectara MCP Server

By vectara GitHub

Vectara-MCP provides any Agentic AI application with access to fast, reliable RAG with reduced hallucinations, powered by Vectara's Trusted RAG platform, through the MCP protocol.

vectara RAG
Overview

What is Vectara MCP?

Vectara MCP is a server that provides agentic AI applications with access to fast and reliable Retrieval-Augmented Generation (RAG) capabilities, powered by Vectara's Trusted RAG platform through the Model Context Protocol (MCP).

How to use Vectara MCP?

To use Vectara MCP, configure it with your Claude Desktop app by adding the necessary server details to your configuration file. After setup, you can utilize the ask_vectara and search_vectara tools to run queries and retrieve information.

Key features of Vectara MCP?

  • Fast and reliable RAG capabilities with reduced hallucinations.
  • Compatibility with any MCP client, including Claude Desktop.
  • Tools for running RAG queries and semantic searches.

Use cases of Vectara MCP?

  1. Enhancing AI applications with reliable data retrieval.
  2. Running complex queries to extract information from various data sources.
  3. Integrating with other AI systems for improved performance.

FAQ from Vectara MCP?

  • What is the Model Context Protocol (MCP)?

MCP is an open standard that allows AI systems to interact with various data sources and tools securely.

  • Is Vectara MCP free to use?

Yes, Vectara MCP is available for free to users.

  • How do I configure Vectara MCP with Claude Desktop?

You need to add the server details to your claude_desktop_config.json file and restart the app to see the changes.

Overview

What is Vectara MCP?

Vectara MCP is a server that provides agentic AI applications with access to fast and reliable Retrieval-Augmented Generation (RAG) capabilities, powered by Vectara's Trusted RAG platform through the Model Context Protocol (MCP).

How to use Vectara MCP?

To use Vectara MCP, configure it with your Claude Desktop app by adding the necessary server details to your configuration file. After setup, you can utilize the ask_vectara and search_vectara tools to run queries and retrieve information.

Key features of Vectara MCP?

  • Fast and reliable RAG capabilities with reduced hallucinations.
  • Compatibility with any MCP client, including Claude Desktop.
  • Tools for running RAG queries and semantic searches.

Use cases of Vectara MCP?

  1. Enhancing AI applications with reliable data retrieval.
  2. Running complex queries to extract information from various data sources.
  3. Integrating with other AI systems for improved performance.

FAQ from Vectara MCP?

  • What is the Model Context Protocol (MCP)?

MCP is an open standard that allows AI systems to interact with various data sources and tools securely.

  • Is Vectara MCP free to use?

Yes, Vectara MCP is available for free to users.

  • How do I configure Vectara MCP with Claude Desktop?

You need to add the server details to your claude_desktop_config.json file and restart the app to see the changes.

No tools information available.

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Vectara-MCP provides any Agentic AI application with access to fast, reliable RAG with reduced hallucinations, powered by Vectara's Trusted RAG platform, through the MCP protocol.

vectara RAG
View Details

A Model Context Protocol (MCP) server implementation for RAG