How to Use the Jina AI MCP in Claude Code

Q: How do I audit search results in Claude Code using Jina AI?

Use the checkfact tool to verify the accuracy of the search output before your pipeline proceeds.

Connect Claude Code to Jina AI for headless web data extraction and reranking.

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Connect Jina AI MCP to Claude Code

Create your Vinkius account to connect Jina AI to Claude Code and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Jina AI with Claude Code

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Headless web access with Claude Code

Use `search_web` to pull data in your CI pipelines. It avoids the need for a browser during your build process. Pipe the output into `read_url` to get clean markdown. It makes automated documentation tasks much simpler.

Automated document sorting with Jina AI

Rerank your logs or docs with `rerank_documents`. It ensures your scripts process the most relevant info first. This keeps your terminal output focused. You spend less time digging through irrelevant search noise.

Token and embedding management

Use `tokenize_text` to monitor your pipeline usage. It prevents unexpected errors during batch processing. `get_embeddings` provides vector data for your scripts. It is useful for building automated search indexes on the fly.

Setup guide

Set up Jina AI MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see jina-ai-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Jina AI transactions." It will automatically discover and invoke the available Jina AI tools.

Terminal

claude mcp add --transport http jina-ai-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

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Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Jina AI MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "jina-ai-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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Common questions about Jina AI MCP in Claude Code

Yes. Execute a command in your terminal, and Claude Code will use `search_web` to pull the data you need for your script.

It does. You connect it via the CLI using the http transport flag to start querying immediately.

Use the `check_fact` tool to verify the accuracy of the search output before your pipeline proceeds.

The server uses standard transport encryption. Only the specific inputs you define are processed by the remote API.

It is ideal for headless tasks. You get structured, clean data without needing a GUI.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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