An MCP server that provides web content fetching capabilities. This server enables LLMs to retrieve and process content from web pages, converting HTML to markdown for easier consumption
Fetch an mcp server that provides web content fetching capabilities. this server enables llms to retrieve and process content from web pages, converting html to markdown for easier consumption. The official Fetch MCP server provides AI agents with standardized access to Fetch's services, enabling powerful automation and integration capabilities that enhance developer productivity and streamline workflows.
This official MCP server is maintained and verified by Fetch, ensuring reliability, security, and up-to-date functionality. Unlike community-maintained servers, this official integration provides long-term support, comprehensive documentation, and direct vendor assistance. The server is hosted on mcpservers.org, guaranteeing secure and reliable access to Fetch's services.
Whether you're building AI-powered applications, automating workflows, or enhancing your development tools, the Fetch MCP server provides a standardized way to connect AI agents with Fetch's extensive platform capabilities. This integration enables natural language interactions with Fetch, making it easier than ever to leverage Fetch's features through AI assistants like Claude, ChatGPT, and Cursor.
https://mcpservers.org/fetch/mcpGo to Settings → Cursor Settings
Click "Add new global MCP Server"
Paste the MCP configuration into mcp.json and restart
Or manually add to your mcp.json:
{
"mcpServers": {
"fetch": {
"url": "https://mcpservers.org/fetch/mcp"
}
}
}The official Fetch MCP server enables AI agents to:
These capabilities make it easy for AI agents to work with Fetch as part of a larger automation strategy, enabling seamless integration between AI assistants and your existing tools.
The Fetch MCP server provides 1 tools for AI agents to interact with the platform. Use the search below to find specific tools.
| Tool Name | Description |
|---|---|
fetch | Fetch a URL from the internet and extract its contents as markdown (supports max_length, start_index, raw) |
Last updated: January 29, 2026 at 12:00 PM
Create, update, and manage tasks in Fetch using natural language. Let AI agents handle project organization and task assignment.
Generate and update Fetch content through AI conversations. Create documents, update records, and manage information effortlessly.
Automate repetitive Fetch workflows. Let AI agents handle routine operations while you focus on high-value work.
Visit https://mcpservers.org, create an account, and generate an API key from your dashboard. Most tools offer a free tier to get started, making it easy to begin using the Fetch MCP server.
Yes, this MCP server is officially provided and maintained by Fetch. The endpoint https://mcpservers.org/fetch/mcp is hosted on their official domain mcpservers.org, ensuring reliability and security.
The Fetch MCP server requires appropriate API credentials and permissions based on the operations you want to perform. Check the documentation for specific permission requirements.
Yes, you can configure the same MCP server across Cursor, Claude Desktop, Cline, and other MCP-compatible clients simultaneously. Each client maintains its own configuration.
The MCP server itself is free to use, but you may need a Fetch account and API access, which may have its own pricing tiers. Check https://mcpservers.org for current pricing information.
The Fetch MCP server enables AI agents to manage tasks, projects, and workflows. An MCP server that provides web content fetching capabilities. This server enables LLMs to retrieve and process content from web pages, converting HTML to markdown for easier consumption This allows you to interact with Fetch's platform through natural language commands in your AI assistant.
Ensure your API key is correctly configured and your network allows outbound connections to mcpservers.org. Verify that the MCP endpoint URL https://mcpservers.org/fetch/mcp is accessible from your network.
Verify your API key is valid and has not expired. Generate a new key from https://mcpservers.org if needed. Make sure you're using the correct authentication method as specified in the documentation.
Check Fetch's status page for any ongoing incidents. Try restarting your MCP client and verify that the server endpoint is correct. If issues persist, consult the official documentation or support channels.
Explore other official MCP servers that work well with Fetch:
The Model Context Protocol (MCP) is an open standard that enables AI models to securely connect to external APIs, tools, and data sources. This official MCP server from Fetch provides standardized access to their services, allowing AI agents to interact with Fetch's platform seamlessly.
To manage all your MCP servers in one place, use Apigene's MCP Gateway, which provides centralized management, security, and governance for all your MCP server connections.
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