🌟 Linkup Python MCP Server

⚠️ DEPRECATED: This package is no longer maintained.

Please use the TypeScript/Node.js version instead: https://github.com/LinkupPlatform/linkup-mcp-server

The TypeScript version is actively maintained, has better performance, and supports all the latest features.

A Model Context Protocol (MCP) server that provides web search capabilities through Linkup's advanced search API. This server enables AI assistants and development tools to perform intelligent web searches with natural language queries.

✨ Why Linkup?

🔍 Advanced Web Search: Leverage Linkup's AI-powered search engine for high-quality, relevant results
💬 Natural Language Queries: Ask questions in plain English or your preferred language - no need for keyword optimization
🚀 Real-time Information: Access up-to-date web content and current information
📚 Comprehensive Results: Get detailed search results with source citations
🔧 Easy Integration: Works with any MCP-compatible client

🚀 Installation

The Linkup MCP server can be used with any MCP-compatible client.

For an integration with Claude Desktop or with Cursor, please follow instruction here.

For other MCP-compatible clients, use these connection details:

Command: python -m linkup_mcp_server
Required Environment Variables: LINKUP_API_KEY

Consult your MCP client's documentation for specific configuration instructions.

💬 Example Queries

The Linkup MCP server excels at answering complex questions and finding specific information:

"What are the latest developments in quantum computing?"
"How does the EU AI Act affect startups?"
"Find recent research on sustainable aviation fuel"
"What are the current best practices for MCP server development?"

🤝 Contributing

Pull requests are welcome! Feel free to open an issue first to discuss what you’d like to see improved.

📚 Resources

📣 Community & Support

📄 License

This project is licensed under the MIT License - Innovate freely! 🚀

Metadata

Release files for mcp-search-linkup 0.1.6

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for mcp-search-linkup 0.1.6
File	Size	Uploaded
mcp_search_linkup-0.1.6.tar.gz	15.9 kB	Oct 27, 2025	Details

Built distribution (wheel)

Table of built distributions (wheels) for mcp-search-linkup 0.1.6
File	Interpreter	ABI	Platform	Reset
mcp_search_linkup-0.1.6-py3-none-any.whl 5.3 kB Oct 27, 2025	Python 3	none	any	Details

Total release size: 21.2 kB

Release files / mcp_search_linkup-0.1.6.tar.gz

Download URL	mcp_search_linkup-0.1.6.tar.gz
Size	15.9 kB
Tags	Source
SHA-256 checksum How to use checksums	`636c556dd2e8e25b7ae15557407acc8296d483b704d5a0c4049cdaf80af7f4ef`
BLAKE2b-256 checksum How to use checksums	`86764a43df90e00ef6a70a65277a12d4e9f888d0983a0e4ddd557f6f20c7c98d`
Upload date	Oct 27, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.7`

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/LinkupPlatform/python-mcp-server
Publishing commit: github.com/LinkupPlatform/python-mcp-server/tree/243dc2703ac7355cf0ac0fde80b83d465dd38b01

Workflow

Publishing configuration: github.com/LinkupPlatform/python-mcp-server/blob/243dc2703ac7355cf0ac0fde80b83d465dd38b01/.github/workflows/publish-to-pypi.yml
Publishing logs: github.com/LinkupPlatform/python-mcp-server/actions/runs/18844660526/attempts/1

Artifact

Subject: mcp_search_linkup-0.1.6.tar.gz
SHA-256 checksum: 636c556dd2e8e25b7ae15557407acc8296d483b704d5a0c4049cdaf80af7f4ef Verifying attestations

Release files / mcp_search_linkup-0.1.6-py3-none-any.whl

Download URL	mcp_search_linkup-0.1.6-py3-none-any.whl
Size	5.3 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`e4e7f38ce3109e9e3f58ea26308ab563e426fd3f662d89317bb002ce9052d5a4`
BLAKE2b-256 checksum How to use checksums	`da1a350a9f6802114ca87a01219f07fe97877202b267466db6237d8ccda719a7`
Upload date	Oct 27, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.7`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/LinkupPlatform/python-mcp-server
Publishing commit: github.com/LinkupPlatform/python-mcp-server/tree/243dc2703ac7355cf0ac0fde80b83d465dd38b01

Workflow

Publishing configuration: github.com/LinkupPlatform/python-mcp-server/blob/243dc2703ac7355cf0ac0fde80b83d465dd38b01/.github/workflows/publish-to-pypi.yml
Publishing logs: github.com/LinkupPlatform/python-mcp-server/actions/runs/18844660526/attempts/1

Artifact

Subject: mcp_search_linkup-0.1.6-py3-none-any.whl
SHA-256 checksum: e4e7f38ce3109e9e3f58ea26308ab563e426fd3f662d89317bb002ce9052d5a4 Verifying attestations