Jina AI MCP Server
About
Integrates with Jina AI's web services to enable web content extraction, search, and fact-checking through natural language interactions.
Details
- Author
- joebuildsstuff
- Repository
- JoeBuildsStuff/mcp-jina-ai
- GitHub stars
- 17
- Downloads
- 5,643
- License
- MIT License
- Categories
- Search, Other, API, Productivity, Developer Tools, Design, AI, Media, Frontend
- Tags
- #web-research, #web
Jump to
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Jina AI MCP ServerCommand (node, npx, python, etc.)npxArguments-
Argument 1
-y -
Argument 2
jina-ai-mcp-server
Environment-
JINA_API_KEY
<YOUR_KEY>
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
-
Argument 1
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
There are two ways to use this server:
To install Jina AI for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install jina-ai-mcp-server --client claude
1. Clone the repository
2. Install dependencies:
npm install
3. Build the server:
npm run build
4. Add this configuration to your Claude Desktop config:
{
"mcpServers": {
"jina-ai-mcp-server": {
"command": "node",
"args": [
"/path/to/jina-ai-mcp-server/dist/index.js"
],
"env": {
"JINA_API_KEY": "<YOUR_KEY>"
}
}
}
}
On MacOS:
~/Library/Application Support/Claude/claude_desktop_config.json
On Windows:
%APPDATA%/Claude/claude_desktop_config.json
The evals package loads an mcp client that then runs the index.ts file, so there is no need to rebuild between tests. You can load environment variables by prefixing the npx command. Full documentation can be found here.
OPENAI_API_KEY=your-key npx mcp-eval evals.ts index.ts
read_webpage
Extract content from web pages in a format optimized for LLMs. Supports multiple output formats (Default, Markdown, HTML, Text, Screenshot, Pageshot) and options for including links, images, and generating alt text for images.
search_web
Search the web using Jina AI's search API. Configurable number of results (default: 5) with support for image retention and alt text generation. Returns structured results with titles, descriptions, and content in multiple formats (markdown, text, html).
fact_check
Fact-check statements using Jina AI's grounding engine. Provides factuality scores and supporting evidence, with an optional deep-dive mode for thorough analysis. Returns references with key quotes and classifications.
read_webpage
- Extract content from web pages in a format optimized for LLMs
- Supports multiple output formats (Default, Markdown, HTML, Text, Screenshot, Pageshot)
- Options for including links and images
- Ability to generate alt text for images
- Cache control options
search_web
- Search the web using Jina AI's search API
- Configurable number of results (default: 5)
- Support for image retention and alt text generation
- Multiple return formats (markdown, text, html)
- Returns structured results with titles, descriptions, and content
fact_check
- Fact-check statements using Jina AI's grounding engine
- Provides factuality scores and supporting evidence
- Optional deep-dive mode for more thorough analysis
- Returns references with key quotes and supportive/contradictory classificationClaude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"jina ai mcp server": {
"env": {
"JINA_API_KEY": "<YOUR_KEY>"
},
"args": [
"-y",
"jina-ai-mcp-server"
],
"command": "npx"
}
}
}Linux
{
"env": {
"JINA_API_KEY": "<YOUR_KEY>"
},
"args": [
"-y",
"jina-ai-mcp-server"
],
"command": "npx"
}Macos
{
"env": {
"JINA_API_KEY": "<YOUR_KEY>"
},
"args": [
"-y",
"jina-ai-mcp-server"
],
"command": "npx"
}Windows
{
"env": {
"JINA_API_KEY": "<YOUR_KEY>"
},
"args": [
"-y",
"jina-ai-mcp-server"
],
"command": "npx"
}Jina AI MCP Server
An MCP server that provides access to Jina AI's powerful web services through Claude. This server implements three main tools:
- Web page reading and content extraction
- Web search
- Fact checking/grounding
<a href="https://glama.ai/mcp/servers/c1l6ib2j49"></a>
Features
Tools
read_webpage
- Extract content from web pages in a format optimized for LLMs
- Supports multiple output formats (Default, Markdown, HTML, Text, Screenshot, Pageshot)
- Options for including links and images
- Ability to generate alt text for images
- Cache control options
search_web
- Search the web using Jina AI's search API
- Configurable number of results (default: 5)
- Support for image retention and alt text generation
- Multiple return formats (markdown, text, html)
- Returns structured results with titles, descriptions, and content
fact_check
- Fact-check statements using Jina AI's grounding engine
- Provides factuality scores and supporting evidence
- Optional deep-dive mode for more thorough analysis
- Returns references with key quotes and supportive/contradictory classification
Setup
Prerequisites
You'll need a Jina AI API key to use this server. Get one for free at https://jina.ai/
Installation
There are two ways to use this server:
Installing via Smithery
To install Jina AI for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install jina-ai-mcp-server --client claude
Option 1: NPX (Recommended)
Add this configuration to your Claude Desktop config file:{
"mcpServers": {
"jina-ai-mcp-server": {
"command": "npx",
"args": [
"-y",
"jina-ai-mcp-server"
],
"env": {
"JINA_API_KEY": "<YOUR_KEY>"
}
}
}
}
Option 2: Local Installation
1. Clone the repository 2. Install dependencies:npm install
3. Build the server:
npm run build
4. Add this configuration to your Claude Desktop config:
{
"mcpServers": {
"jina-ai-mcp-server": {
"command": "node",
"args": [
"/path/to/jina-ai-mcp-server/dist/index.js"
],
"env": {
"JINA_API_KEY": "<YOUR_KEY>"
}
}
}
}
Config File Location
On MacOS:
~/Library/Application Support/Claude/claude_desktop_config.json
On Windows:
%APPDATA%/Claude/claude_desktop_config.json
Debugging
Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector:
npm run inspector
The Inspector will provide a URL to access debugging tools in your browser.
API Response Types
All tools return structured JSON responses that include:
- Status codes and metadata
- Formatted content based on the requested output type
- Usage information (token counts)
- When applicable: images, links, and additional metadata
For detailed schema information, see schemas.ts.
Running evals
The evals package loads an mcp client that then runs the index.ts file, so there is no need to rebuild between tests. You can load environment variables by prefixing the npx command. Full documentation can be found here.
OPENAI_API_KEY=your-key npx mcp-eval evals.ts index.ts
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