# 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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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.natoma.ai/apps/fetch.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.