> For the complete documentation index, see [llms.txt](https://docs.natoma.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.natoma.ai/apps/fetch.md).

# Fetch

**Type:** Community

**Source Type:** Repository

**Source:** [GitHub](https://github.com/modelcontextprotocol/servers/tree/main/src/fetch)

**Description:** Fetch MCP server provides AI assistants with web content retrieval and processing capabilities. It enables URL fetching, content extraction, and web scraping functionality with configurable security settings for accessing and analyzing web-based information.

**Configuration Parameters:**

* **gpgKey** \* - Configuration value
* **pythonVersion** \* - Configuration value
* **pythonSha256** \* - Configuration value

**Setup Steps:**

1. Log in to your Fetch account
2. Navigate to Settings → API Settings → API Keys
3. Generate a new API token or key
4. Copy the token for configuration
5. Ensure your account has appropriate permissions for Fetch API access

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