by spences10
Enhance web content discovery with JinaAI Search, integrating ai search like bing ai and Microsoft for advanced data ext
Searches the web using JinaAI's API to retrieve clean, LLM-optimized content from web pages and documentation. This repository is no longer maintained - use mcp-omnisearch instead.
JinaAI Search is a community-built MCP server published by spences10 that provides AI assistants with tools and capabilities via the Model Context Protocol. Enhance web content discovery with JinaAI Search, integrating ai search like bing ai and Microsoft for advanced data ext It is categorized under search web.
You can install JinaAI Search in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
JinaAI Search is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Fetch and extract information from websites automatically
Example
Research competitor pricing, scrape product reviews, monitor news mentions
Automate 5-10 hours/week of manual web research
Track website changes, new content, price updates
Example
Monitor competitor blog for new posts, track stock availability, watch for pricing changes
Stay informed without manual checking, never miss important updates
Extract structured data from multiple websites
Example
Compile product listings from 10 e-commerce sites, aggregate job postings, collect real estate data
Build datasets 100x faster than manual copying
Share your MCP server with the developer community
JinaAI Search is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
JinaAI Search is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
We wired JinaAI Search into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
I recommend JinaAI Search for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
JinaAI Search reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
JinaAI Search reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Useful MCP listing: JinaAI Search is the kind of server we cite when onboarding engineers to host + tool permissions.
We evaluated JinaAI Search against two servers with overlapping tools; this profile had the clearer scope statement.
I recommend JinaAI Search for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
I recommend JinaAI Search for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
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This repository is no longer maintained.
The functionality of this tool is now available in mcp-omnisearch, which combines multiple MCP tools in one unified package.
Please use mcp-omnisearch instead.
A Model Context Protocol (MCP) server for integrating Jina.ai's Search API with LLMs. This server provides efficient and comprehensive web search capabilities, optimised for retrieving clean, LLM-friendly content from the web.
<a href="https://glama.ai/mcp/servers/u6603w196t"> <img width="380" height="200" src="https://glama.ai/mcp/servers/u6603w196t/badge" /> </a>This server requires configuration through your MCP client. Here are examples for different environments:
Add this to your Cline MCP settings:
{
"mcpServers": {
"jinaai-search": {
"command": "node",
"args": ["-y", "mcp-jinaai-search"],
"env": {
"JINAAI_API_KEY": "your-jinaai-api-key"
}
}
}
}
For WSL environments, add this to your Claude Desktop configuration:
{
"mcpServers": {
"jinaai-search": {
"command": "wsl.exe",
"args": [
"bash",
"-c",
"JINAAI_API_KEY=your-jinaai-api-key npx mcp-jinaai-search"
]
}
}
}
The server requires the following environment variable:
JINAAI_API_KEY: Your Jina.ai API key (required)The server implements a single MCP tool with configurable parameters:
Search the web and get clean, LLM-friendly content using Jina.ai Reader. Returns top 5 results with URLs and clean content.
Parameters:
query (string, required): Search queryformat (string, optional): Response format ("json" or "text").
Defaults to "text"no_cache (boolean, optional): Bypass cache for fresh results.
Defaults to falsetoken_budget (number, optional): Maximum number of tokens for this
requestbrowser_locale (string, optional): Browser locale for rendering
contentstream (boolean, optional): Enable stream mode for large pages.
Defaults to falsegather_links (boolean, optional): Gather all links at the end of
response. Defaults to falsegather_images (boolean, optional): Gather all images at the end of
response. Defaults to falseimage_caption (boolean, optional): Caption images in the content.
Defaults to falseenable_iframe (boolean, optional): Extract content from iframes.
Defaults to falseenable_shadow_dom (boolean, optional): Extract content from shadow
DOM. Defaults to falseresolve_redirects (boolean, optional): Follow redirect chains to
final URL. Defaults to truepnpm install
pnpm run build
pnpm run dev
pnpm changeset
pnpm version
pnpm release
Contributions are welcome! Please feel free to submit a Pull Request.
MIT License - see the LICENSE file for details.
Interact with services that don't offer APIs
Example
Check form submissions, validate website functionality, test user flows
Automate interactions with any website, even without API
Prerequisites
Time Estimate
20-40 minutes including configuration and testing
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.
Protocols
Compatibility
✓ Use when
Use for research automation, content monitoring, data aggregation from multiple sources, and when official APIs don't exist. Best for read-only information gathering.
✗ Avoid when
Avoid for sites with APIs (use API instead), sites that explicitly forbid scraping, when data is copyrighted, or for login-required content without proper authorization.