mcpField
F
Fetch

Fetch

Local
github.com/modelcontextprotocolBrowser Automation91.6kUpdated today
Repository

About Fetch

Model Context Protocol Servers

#fetch#web-content#markdown-converter

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "mcp_server_fetch": {
      "command": "uvx",
      "args": [
        "mcp-server-fetch"
      ]
    }
  }
}
Run commanduvx mcp-server-fetch

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypimcp-server-fetch

Tools

1

Saved tool list · updated 2w ago

ParameterTypeRequiredDescription
rawbooleanNoGet the actual HTML content of the requested page, without simplification.
urlstringYesURL to fetch
max_lengthintegerNoMaximum number of characters to return.
start_indexintegerNoOn return output starting at this character index, useful if a previous fetch was truncated and more context is required.

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.