---
title: "Fetch: setup for Claude, Cursor, Codex · DotsAgent"
description: "Fetches a web page and converts it to Markdown so the model can read it. Part of the MCP project's reference set. Set up Fetch in 13 MCP clients."
url: https://dotsagent.io/mcp/servers/fetch
---

Search and docs · MCP Steering Group

# Set up Fetch

Fetches a web page and converts it to Markdown so the model can read it. Part of the MCP project's reference set.

- **Publisher**: MCP Steering Group Official
- **Run locally**: `uvx mcp-server-fetch`
- **Transports**: stdio
- **Authentication**: None.
- **What it can touch**: Sends outbound HTTP GET requests, including to internal network addresses.
- **Licence**: MIT (existing) / Apache-2.0 (new contributions)
- **Source**: [github.com/modelcontextprotocol/servers/tree/main/src/fetch](https://github.com/modelcontextprotocol/servers/tree/main/src/fetch)
- **Status**: Active

## Install

This server runs on your machine as a child process of the client. You need the runtime its command uses, such as Node.js for npx, uv for uvx or Docker, plus any variables listed under Environment.

### Claude Code

`shell`

```
claude mcp add --scope project fetch -- uvx mcp-server-fetch
```

### Cursor

`.cursor/mcp.json`

```
{
  "mcpServers": {
    "fetch": {
      "command": "uvx",
      "args": [
        "mcp-server-fetch"
      ]
    }
  }
}
```

### Codex

`~/.codex/config.toml`

```
[mcp_servers.fetch]
command = "uvx"
args = ["mcp-server-fetch"]
```

[Config for other clients →](https://dotsagent.io/mcp/config#add=fetch)

Because it can reach internal network addresses, avoid running it on a machine that sees services you wouldn't expose to the model.

## Other servers in search and docs

- [AWS Knowledge](https://dotsagent.io/mcp/servers/aws-knowledge): AWS-hosted search over AWS documentation, blog posts, What's New entries and regional availability.

- [Microsoft Learn](https://dotsagent.io/mcp/servers/microsoft-learn): Search and fetch official Microsoft and Azure documentation and code samples.

- [Brave Search](https://dotsagent.io/mcp/servers/brave-search): Brave's own server for web, news, image, video and local search through the Brave Search API.

- [Exa](https://dotsagent.io/mcp/servers/exa): Neural web search, page contents and code-context search for agents, hosted by Exa or run locally with an API key.

- [Tavily](https://dotsagent.io/mcp/servers/tavily): Search, extract, crawl and map websites through Tavily's agent-oriented search API, hosted or run locally.

- [Firecrawl](https://dotsagent.io/mcp/servers/firecrawl): Scrape, crawl, search and extract structured data from websites as Markdown or JSON.

## Sources

1. [github.com](https://github.com/modelcontextprotocol/servers)/modelcontextprotocol/servers

Independent reference for people who build AI agents. Not affiliated with any vendor named here.

© 2026 DotsAgent · Facts checked October 1, 2026