Jina Ai MCP
A lightweight MCP server for obtaining and providing web page content in Markdown format, supporting automatic hashing, tokenization, and caching of content, and allocating stable URIs for resource lookup.
rating : 2 points
downloads : 4.7K
What is the Jina AI MCP Server?
The Jina AI MCP Server is a lightweight MCP server that can convert web page content into Markdown format so that large language models (LLMs) can access clean, markable web content.How to use the Jina AI MCP Server?
You can start the Jina AI MCP Server by running the provided Python script. The server supports use via the command line or integration into other MCP clients.Applicable Scenarios
Suitable for scenarios that require obtaining structured Markdown content from the web, such as help document generation, information retrieval, and content analysis.Main Features
Web Page Markdown Conversion
Convert any web page content into Markdown format for easy processing by LLMs.
Automatic Hashing and Caching
Automatically hash and cache content to improve performance and consistency.
Stable URI Allocation
Assign a unique URI to each resource for easy subsequent lookup and reference.
Advantages
Provide structured Markdown content for easy processing by LLMs
Support caching and hashing to improve performance
Limitations
Currently only supports processing of a single URL and does not support batch processing
Relies on the external service r.jina.ai for content scraping
How to Use
Install Dependencies
Ensure that the uv tool is installed to run the Python script.
Configure the MCP Client
Add the settings of the Jina AI MCP Server to your MCP client configuration file.
Start the Server
Run the provided Python script to start the Jina AI MCP Server.
Usage Examples
Get Web Page Content
Users want to get the Markdown version of a web page for LLM analysis.
Integrate the MCP Client
Users want to integrate the Jina AI MCP Server into their own MCP clients for use in LLMs.
Frequently Asked Questions
Does the Jina AI MCP Server support batch processing?
Does the server require additional dependencies?
Can the caching policy be customized?
Related Resources
Jina AI MCP Server Documentation
Official documentation and API reference
Model Context Protocol GitHub Repository
Source code and implementation examples of the MCP protocol
MCP Tutorial Video
Tutorial on using the MCP protocol and the Jina AI Server

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