MCP Server README Builder

The MCP Server README Builder gives your Model Context Protocol server the documentation users actually need: what it does, which tools it exposes, and the exact config to connect a client. A good MCP README is the difference between a server someone installs in a minute and one they abandon. This tool turns a short form into clean markdown with a ready-to-paste client configuration block.

How it works

The builder maps your inputs onto a standard MCP README layout. It writes an H1 title and description, an Installation section, a Tools table built from the tool names and descriptions you enter, and a Configuration section containing a JSON block under the mcpServers key that desktop clients read. That config uses the command and arguments you supply (for example npx -y your-server), launched over stdio by default. It closes with a Usage note explaining how the model invokes the tools once connected. Lists and the config block are assembled programmatically so the markdown and JSON stay well-formed.

What makes an MCP README effective

The primary reader of an MCP README is not a human scanning GitHub — it is a developer who has already decided to install your server and needs exactly two things: the config block and the list of tools. Everything else is secondary.

The config block. Claude Desktop and compatible MCP clients read a JSON configuration file that maps server names to launch commands. Your README should include a ready-to-paste mcpServers entry. Users copy this block verbatim; any discrepancy between the example and your actual server breaks the install immediately. The typical stdio config for an npm-published server looks like:

{
  "mcpServers": {
    "your-server": {
      "command": "npx",
      "args": ["-y", "your-server-package"]
    }
  }
}

Environment variables required at runtime should be listed in an env key inside the server object, so users know what they need to set before the server will function.

The tools table. This is what the language model reads to decide when to invoke each tool. Tool descriptions are not primarily for human readers — they are the model’s API. Write them to answer the question a reasoning model would ask: “should I call this tool for this user request?” Lead with the verb: “Lists recent invoices filtered by date range and customer ID.” Vague descriptions like “handles invoices” lead to under-use or incorrect calls.

Naming conventions for MCP tools

Consistent tool naming reduces confusion for both the model and human reviewers:

• Use snake_case for tool names: list_invoices, get_invoice, update_invoice_status
• Lead with a verb that describes the action: list, get, create, update, delete, search, generate, send
• Be specific rather than generic: search_invoice_by_customer is better than search
• Group related tools by common prefix: invoice_list, invoice_get, invoice_create is a common alternative convention that keeps related tools visually adjacent in a sorted list

Tips and worked example

• Write tool descriptions for the model, not just humans. The language model reads each description to decide when to call the tool, so lead with the action: “Searches invoices by customer and date range.”
• Ship the exact config. Users copy the mcpServers block verbatim — make sure the command, args, and any required env vars match what your server actually needs.
• Name tools in verb_noun form. Consistent names like list_invoices and get_invoice make the toolset easy for both the model and the reader to scan.

A server named acme-mcp with tools list_invoices and get_invoice produces a README whose Configuration block sets mcpServers.acme to { "command": "npx", "args": ["-y", "acme-mcp"] }. The tools table describes each with a clear action sentence. The result is a README a developer can follow in under two minutes.