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LinkupPlatform Linkup MCP Server

Searches the live web, runs cited research tasks, and fetches webpage content through Linkup.

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Install LinkupPlatform Linkup MCP Server

Pick your client, then add it in one click or paste the config.

STDIONode.js
~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "linkupplatform-linkup-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "linkup-mcp-server"
      ],
      "env": {
        "LINKUP_API_KEY": "YOUR_VALUE_HERE"
      }
    }
  }
}

Settings → Developer → Edit Config, merge this into mcpServers, then fully quit and reopen Claude Desktop.

Values are written into the snippet above so you can paste it as is. They never leave your browser.

Automated check passed— started and listed 4 tools correctly (18d ago).

Overview

LinkupPlatform-linkup-mcp-server MCP server connects MCP-compatible AI clients to Linkup for live web search, asynchronous research, and webpage extraction. It supports standard and deep search, source and date filters, optional images, JavaScript rendering, and raw HTML retrieval. Use it when an agent needs current information, multi-source analysis, or content from a specific URL rather than relying only on its built-in knowledge.

Use cases

  • Search for breaking news and current events
  • Research and compare information across multiple sources
  • Fetch and summarize a webpage
  • Retrieve recent prices, schedules, or publications

Key features

  • Real-time web search
  • Asynchronous cited research
  • Webpage content extraction
  • Domain and date filtering
  • Optional image and raw HTML retrieval
  • JavaScript rendering for dynamic pages

Tools4

What LinkupPlatform Linkup MCP Server lets your agent do. Expand a tool for its parameters.

Verified live~1.8k tokens of context

Security & health

What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.

ActiveLast checked 2d ago

Recent health check succeeded.

22/22 checks healthy over the last 90d

What it can do

From the 4 tools this server returned when we ran it.

Runs commands · 1Makes network requests · 1Read-only tools · 3
Network at startup3 connections
Files written at startupNone
Install scriptsprepare
npm provenanceSigned build
Package age577 days
Maintainers4

Observed 2026-10-21 in an isolated sandbox. A description of reach, not a security audit.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 3d ago via OSV.dev · linkup-mcp-server (npm)

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars29Stargazers on the source repository.
npm downloads1.9kPackage downloads in the last 30 days.
Last commit7d agoMost recent push to the default branch.
Availability100%Our rolling endpoint + install checks that succeeded.
Install checkPassedOur sandbox started it and listed its tools.
Tools exposed4Callable tools this server registers over MCP.
Directory activity3 viewsConfig copies, upvotes, and views on AllMCPs.

How LinkupPlatform Linkup MCP Server works

What LinkupPlatform-linkup-mcp-server MCP server does

LinkupPlatform-linkup-mcp-server MCP server gives an MCP-compatible AI client access to Linkup's web API. It covers three related tasks: finding current information, conducting longer investigations across multiple sources, and retrieving content from a supplied webpage. Results are intended for questions involving live facts, recent news, prices, schedules, publications, and other information that may have changed since a model's training data.

The server is a fit for agents that need source-backed web results or extracted page content. Search accepts natural-language questions, and the research workflow can return a synthesized answer with citations after investigating multiple sources.

How it works

LinkupPlatform-linkup-mcp-server can be used as a hosted Streamable HTTP MCP server or run locally over stdio. The hosted endpoint is https://mcp.linkup.so/mcp; clients can provide the API key with an Authorization: Bearer header, while a query parameter remains available for clients that cannot set custom headers. The local examples invoke the package through npx and pass the key as an argument.

A normal search uses linkup-search. The standard depth is intended for direct questions, while deep is intended for analysis across multiple sources. Search requests can limit domains, exclude domains, set publication-date boundaries, cap result count, and optionally include images.

Long-running investigations use two tools. linkup-research starts the task and immediately returns an identifier and status; the client then calls linkup-get-research until the task is completed or failed. Research can be configured for a precise answer, a focused investigation, or a broader report, with selectable reasoning depth.

Setup and configuration

Create a Linkup account at the Linkup application site and copy the API key from the dashboard. For a remote setup, configure the hosted MCP URL in the client and supply the key either as a bearer token or through ?apiKey=.... For a local setup, use the npx -y linkup-mcp-server command with the API key argument.

The README provides configurations for Cursor, VS Code, and Codex. It also documents an MCP bundle download for Claude Desktop. The bundle is installed by downloading the .mcpb release file, opening it, and entering the API key when prompted.

Tools and capabilities

LinkupPlatform-linkup-mcp-server exposes these MCP tools:

  • linkup-search performs real-time web searches using a natural-language query. It supports standard or deep depth, domain inclusion and exclusion, date ranges, result limits, and optional image results.
  • linkup-research starts an autonomous, multi-source research task. Its options include investigation mode, reasoning depth, domain filters, and date ranges.
  • linkup-get-research checks the status and retrieves the result of a research task started with linkup-research.
  • linkup-fetch fetches and extracts content from a webpage URL. It can optionally render JavaScript, return extracted images, and include the page's raw HTML.

Use full questions for search and research queries. Choose research when one search request cannot resolve the question or when the answer requires comparison and synthesis across sources.

Limitations and notes

Research is asynchronous and may take several minutes, so an agent must retain the returned task ID and poll for completion. The API key is required. Remote use depends on an MCP client that supports Streamable HTTP; clients without custom-header support must use the query-parameter form. The available information comes from web pages and search sources, so domain and date filters should be used when a narrower source set is needed.

Read the full README View source on GitHub

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Frequently Asked Questions about LinkupPlatform Linkup MCP Server

LinkupPlatform-linkup-mcp-server is an MCP server that connects AI clients to Linkup’s web API for real-time search, asynchronous multi-source research, research-status polling, and webpage fetching. It supports source and date filters, standard or deep search, optional images, JavaScript rendering, and raw HTML retrieval for current web-based answers.

Install it by configuring the hosted Streamable HTTP endpoint, downloading the MCP bundle for Claude Desktop, or running the local package with npx. You need a Linkup API key, which can be supplied through a bearer header, the apiKey query parameter, or the local command arguments.

Yes, LinkupPlatform-linkup-mcp-server works with Cursor. Configure either the hosted HTTP endpoint or the local npx command in Cursor’s MCP configuration, then provide the Linkup API key.

Start the investigation with linkup-research, save its returned task ID, and call linkup-get-research repeatedly until the status is completed or failed. Research can use answer, investigate, or research modes and may take several minutes.

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