Jina AI MCP Server for Windsurf 6 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Jina AI through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Jina AI and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"jina-ai": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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.
Windsurf's Cascade agent chains multiple Jina AI tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 6 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
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 Windsurf 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 Windsurf via MCP
Follow these steps to integrate the Jina AI MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using Jina AI
Open Cascade and ask: "Using Jina AI, help me...". 6 tools available
Why Use Windsurf with the Jina AI MCP Server
Windsurf provides unique advantages when paired with Jina AI through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 6 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Jina AI + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Jina AI MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Jina AI and generate models, types, or handlers based on real API responses
Live debugging: query Jina AI tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Jina AI and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Jina AI data with Cascade's code generation to scaffold entire features in minutes
Jina AI MCP Tools for Windsurf (6)
These 6 tools become available when you connect Jina AI to Windsurf 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 Windsurf
Ready-to-use prompts you can give your Windsurf 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 Windsurf
Common issues when connecting Jina AI to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Jina AI + Windsurf FAQ
Common questions about integrating Jina AI MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect Jina AI with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Windsurf
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.