Jina AI (Search Foundation & LLM Grounding) 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 (Search Foundation & LLM Grounding) through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
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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-search-foundation-llm-grounding": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Jina AI (Search Foundation & LLM Grounding) Agent",
instructions:
"You help users interact with Jina AI (Search Foundation & LLM Grounding) " +
"using 6 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Jina AI (Search Foundation & LLM Grounding)?"
);
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 (Search Foundation & LLM Grounding) MCP Server
Connect your Jina AI account to any AI agent and take full control of state-of-the-art search infrastructure and LLM grounding through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Jina AI (Search Foundation & LLM Grounding) 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
- LLM Grounding & Reader — Extract clean, readable Markdown context from any web URL, stripping away noise and navigation to feed high-quality data to your agent
- Semantic Web Search — Perform context-rich web searches that return structured results specifically optimized for RAG pipelines and AI analysis
- Vector Embeddings — Generate high-quality embeddings using Jina's advanced models to power semantic search and document similarity workflows
- Precision Reranking — Improve search relevance by re-ordering candidate documents based on their semantic match to a specific query block
- Zero-Shot Classification — Categorize text inputs against custom labels with confidence scores without training specific models manually
- Intelligent Segmentation — Break down long documents into semantically cohesive chunks to optimize retrieval-augmented generation (RAG)
The Jina AI (Search Foundation & LLM Grounding) 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 (Search Foundation & LLM Grounding) to Mastra AI via MCP
Follow these steps to integrate the Jina AI (Search Foundation & LLM Grounding) 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 (Search Foundation & LLM Grounding) via MCP
Why Use Mastra AI with the Jina AI (Search Foundation & LLM Grounding) MCP Server
Mastra AI provides unique advantages when paired with Jina AI (Search Foundation & LLM Grounding) through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Jina AI (Search Foundation & LLM Grounding) 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 (Search Foundation & LLM Grounding) 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 (Search Foundation & LLM Grounding) + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Jina AI (Search Foundation & LLM Grounding) MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Jina AI (Search Foundation & LLM Grounding), process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Jina AI (Search Foundation & LLM Grounding) 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 (Search Foundation & LLM Grounding) on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Jina AI (Search Foundation & LLM Grounding) tools alongside other MCP servers
Jina AI (Search Foundation & LLM Grounding) MCP Tools for Mastra AI (6)
These 6 tools become available when you connect Jina AI (Search Foundation & LLM Grounding) to Mastra AI via MCP:
classify_texts
Perform zero-shot text classification
generate_embeddings
The input must be a JSON array of strings. Generate vector embeddings from text
read_url_content
Excellent for grounding LLMs with live web content. Read and extract clean text from a URL
rerank_documents
Rerank search documents against a query
search_web_jina
Returns context-rich structured search results, suitable for RAG pipelines. Perform a semantic web search
segment_content
Semantically segment and chunk long text content
Example Prompts for Jina AI (Search Foundation & LLM Grounding) in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Jina AI (Search Foundation & LLM Grounding) immediately.
"Extract the main content from 'https://jina.ai/embeddings' as Markdown"
"Search the web for the latest updates on 'DeepSeek-V3 architecture'"
"Segment this long text into semantically cohesive chunks: [text content]"
Troubleshooting Jina AI (Search Foundation & LLM Grounding) MCP Server with Mastra AI
Common issues when connecting Jina AI (Search Foundation & LLM Grounding) to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpJina AI (Search Foundation & LLM Grounding) + Mastra AI FAQ
Common questions about integrating Jina AI (Search Foundation & LLM Grounding) 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 (Search Foundation & LLM Grounding) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
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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 (Search Foundation & LLM Grounding) to Mastra AI
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.