Jina AI MCP Server for Mastra AI 6 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Jina AI 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: {
"jina-ai": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Jina AI Agent",
instructions:
"You help users interact with Jina AI " +
"using 6 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Jina AI?"
);
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 Jina AI MCP Server
Empower your AI agent to orchestrate your entire web intelligence and information retrieval workflow with Jina AI, the platform that makes the web readable for machines. By connecting Jina AI to your agent, you transform complex search and reading tasks into a natural conversation. Your agent can instantly search the web for AI-optimized results, audit URL content through high-quality extraction, and rerank documents to maintain a clear view of information relevancy. Whether you are conducting deep research or building advanced RAG pipelines, your agent acts as a real-time data architect, ensuring your intelligence is always grounded in precise, high-density data.
Mastra's agent abstraction provides a clean separation between LLM logic and Jina AI tool infrastructure. Connect 6 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
- Web Auditing — Query the web using Jina Search and retrieve snippets specifically curated for LLM consumption.
- Reader Oversight — Read any URL and retrieve cleaned, LLM-ready content to maintain a structured view of site data.
- Ranking Intelligence — Rerank multiple documents or snippets to identify the most relevant information for any specific query.
- Semantic Intelligence — Retrieve vector embeddings for text to maintain strict control over semantic search and similarity audits.
- Fact Checking — Verify the factuality of statements through Jina's grounded search capabilities.
The Jina AI MCP Server exposes 6 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 Jina AI to Mastra AI via MCP
Follow these steps to integrate the Jina AI 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 6 tools from Jina AI via MCP
Why Use Mastra AI with the Jina AI MCP Server
Mastra AI provides unique advantages when paired with Jina AI through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Jina AI 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 Jina AI 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
Jina AI + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Jina AI MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Jina AI, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Jina AI as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Jina AI on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Jina AI tools alongside other MCP servers
Jina AI MCP Tools for Mastra AI (6)
These 6 tools become available when you connect Jina AI to Mastra AI via MCP:
check_fact
Check the factuality of a statement
get_embeddings
Get vector embeddings for a list of strings
read_url
Read a URL and return cleaned content for LLMs
rerank_documents
Rerank a list of documents based on a query
search_web
Search the web using Jina Search (optimized for AI)
tokenize_text
Tokenize text for LLM processing
Example Prompts for Jina AI in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Jina AI immediately.
"Search the web for 'best open source LLMs 2024' using Jina AI."
"Read the content of https://jina.ai/news and give me a summary."
"Check the fact: 'The moon is made of green cheese'."
Troubleshooting Jina AI MCP Server with Mastra AI
Common issues when connecting Jina AI to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpJina AI + Mastra AI FAQ
Common questions about integrating Jina AI 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 Jina AI 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 Jina AI to Mastra AI
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.