Vectara MCP Server for Mastra AI 7 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Vectara through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"vectara": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Vectara Agent",
instructions:
"You help users interact with Vectara " +
"using 7 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Vectara?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Vectara MCP Server
Connect your Vectara environment to any AI agent to unlock enterprise-grade Retrieval-Augmented Generation (RAG) and semantic search directly inside your conversational IDE or workspace.
Mastra's agent abstraction provides a clean separation between LLM logic and Vectara tool infrastructure. Connect 7 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
What you can do
- Semantic Search — Query your indexed private corpora naturally and return highly relevant, grounded documents without traditional keyword matching limitations.
- Conversational RAG — Execute fully-fledged interactive chats leveraging Vectara's backend to provide detailed, cited answers strictly based on your secure documents.
- Corpus Management — List all available data corpora, retrieve unique keys, and discover the shape of your indexed data environment on the fly.
- Document Auditing — Monitor specific document indexes within a corpus, verify correct ingestions, or permanently delete obsolete files avoiding polluted search results.
The Vectara MCP Server exposes 7 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Vectara to Mastra AI via MCP
Follow these steps to integrate the Vectara MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 7 tools from Vectara via MCP
Why Use Mastra AI with the Vectara MCP Server
Mastra AI provides unique advantages when paired with Vectara through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Vectara without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Vectara tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Vectara + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Vectara MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Vectara, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Vectara as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Vectara on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Vectara tools alongside other MCP servers
Vectara MCP Tools for Mastra AI (7)
These 7 tools become available when you connect Vectara to Mastra AI via MCP:
delete_corpus_document
This action is irreversible. Permanently removes a document from a corpus
execute_rag_chat
Provide corpus keys and the user query to get a summarized AI response with citations. Executes a RAG-powered chat completion
get_corpus_details
Retrieves metadata and configuration for a specific corpus
list_chat_sessions
Lists previous RAG chat sessions
list_corpora
Lists all corpora (searchable datasets) in the Vectara account
list_corpus_documents
Lists all indexed documents within a specific corpus
perform_semantic_search
Provide one or more comma-separated corpus keys and the query text. Executes a semantic search across one or more corpora
Example Prompts for Vectara in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Vectara immediately.
"List all configured knowledge corpora I have in Vectara."
"Query corpus `cor-81a` for instructions on 'rolling back kubernetes pods' and show only the top 3 best matching results."
"List all active chat context session IDs for the last week."
Troubleshooting Vectara MCP Server with Mastra AI
Common issues when connecting Vectara to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpVectara + Mastra AI FAQ
Common questions about integrating Vectara MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Vectara with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Vectara to Mastra AI
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.