mcpbeat

Parser MCP Server

by wrapper-agency-parsedoc
local only

Parser runs on your own machine — the client starts it, so there is no endpoint to ping. 46 installs a week from npm.

Parse receipts & invoices into structured JSON. Pay per call in USDC (x402 on Base), no API key.

Installs per day peak 25 · avg 6 · +67% w/w
a month agotoday
46
Installs / week
npm · parsedoc-mcp
Stars
on GitHub
Last commit
0 releases in 90 days
License
language unknown

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

run in your terminal
claude mcp add parser -- npx -y parsedoc-mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "parser": {
      "args": [
        "-y",
        "parsedoc-mcp"
      ],
      "command": "npx"
    }
  }
}
~/.codex/config.toml
[mcp_servers.parser]
command = "npx"
args = ["-y", "parsedoc-mcp"]
.cursor/mcp.json
{
  "mcpServers": {
    "parser": {
      "args": [
        "-y",
        "parsedoc-mcp"
      ],
      "command": "npx"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "parser": {
      "args": [
        "-y",
        "parsedoc-mcp"
      ],
      "command": "npx"
    }
  }
}

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Parser — questions

Answers built from our own checks of this server.

Why is there no uptime for Parser?
Parser runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the npm package parsedoc-mcp was installed 46 times last week.
How do I connect Parser?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It runs locally, so the command pulls parsedoc-mcp straight from npm; nothing to host, nothing to sign up for.
How many people use Parser?
The npm package parsedoc-mcp was installed 46 times in the last week. Week over week that is +67%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.