Jina AI MCP Server for OpenAI Agents SDK 6 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Jina AI through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Jina AI Assistant",
instructions=(
"You help users interact with Jina AI. "
"You have access to 6 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Jina AI"
)
print(result.final_output)
asyncio.run(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.
The OpenAI Agents SDK auto-discovers all 6 tools from Jina AI through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Jina AI, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Jina AI MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 6 tools from Jina AI
Why Use OpenAI Agents SDK with the Jina AI MCP Server
OpenAI Agents SDK provides unique advantages when paired with Jina AI through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Jina AI + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Jina AI MCP Server delivers measurable value.
Automated workflows: build agents that query Jina AI, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Jina AI, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Jina AI tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Jina AI to resolve tickets, look up records, and update statuses without human intervention
Jina AI MCP Tools for OpenAI Agents SDK (6)
These 6 tools become available when you connect Jina AI to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Jina AI to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Jina AI + OpenAI Agents SDK FAQ
Common questions about integrating Jina AI MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.