mcp-search-linkup
This server allows Claude to perform real-time web searches using Linkup to access current and premium information beyond my training data cutoff.
Capabilities:
Execute search queries using natural language questions
Retrieve up-to-date information and real-time news
Access premium content
Enhance Claude's responses with current information
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-search-linkupWhat are the latest developments in quantum computing?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
🌟 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⚠️ DEPRECATED: This package is no longer maintained.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
Related MCP server: Perplexity Ask MCP Server
🚀 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_serverRequired 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
Email: support@linkup.so
Discord: Join our community
X / Twitter: @Linkup_platform
📄 License
This project is licensed under the MIT License - Innovate freely! 🚀
Available Tools
1 toolsearch-webA
Search the web in real time using Linkup. Use this tool whenever the user needs trusted facts, news, or source-backed information. Returns comprehensive content from the most relevant sources.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | Natural language search query. Full questions work best, e.g., 'How does the new EU AI Act affect startups?' | |
| depth | Yes | The search depth to perform. Use 'standard' for queries with likely direct answers. Use 'deep' for complex queries requiring comprehensive analysis or multi-hop questions |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must fully disclose behavioral traits. It mentions that the search is 'in real time' and returns 'comprehensive content from the most relevant sources,' which adds some context. However, it lacks details on critical aspects like rate limits, authentication needs, error handling, or the format of returned content (e.g., links, summaries). For a tool with no annotations, this leaves significant gaps in behavioral understanding.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise and well-structured, consisting of two sentences that efficiently convey the tool's purpose and usage guidelines without unnecessary details. Every sentence adds value: the first defines the action and context, and the second specifies when to use it and what it returns. There is no wasted verbiage, making it front-loaded and easy to parse.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (a web search with two parameters) and the absence of annotations and output schema, the description provides a basic but incomplete picture. It covers the purpose and usage context adequately but lacks details on behavioral aspects like performance, limitations, or output format. For a tool with no structured output information, the description should ideally hint at return types or content structure to be more complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 100% description coverage, with clear documentation for both parameters (query and depth), including examples and enum values. The description does not add any parameter-specific information beyond what the schema provides, such as explaining how 'depth' affects search results in more detail. Given the high schema coverage, the baseline score of 3 is appropriate, as the description does not compensate with additional semantic value.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Search the web in real time using Linkup' specifies the verb (search) and resource (web via Linkup). It further elaborates on the type of information retrieved ('trusted facts, news, or source-backed information'), making the purpose clear. However, since there are no sibling tools mentioned, it cannot differentiate from alternatives, preventing a score of 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides explicit guidance on when to use this tool: 'whenever the user needs trusted facts, news, or source-backed information.' This gives clear context for its application. However, it does not specify when not to use it or mention any alternatives, as there are no sibling tools, so it falls short of a perfect score.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
TDQS
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool 'search-web' has a clear, distinct purpose focused on web searching.
Since there is only one tool, naming consistency is inherently perfect. The tool name 'search-web' follows a clear verb-noun pattern and is straightforward.
A single tool is too few for most server purposes, as it severely limits functionality and scope. This feels thin and incomplete for a search-oriented server, lacking operations like filtering, advanced queries, or result management.
The server has a significant gap in its tool surface; it only provides search functionality without any way to refine, save, or manage results. For a search domain, this is incomplete and will likely cause agent failures in complex tasks.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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