Parsey McParseface

v1.0.0Developer Toolsstable

[Archive] A simple Python Flask app to run Parsey McParseface.

parsey-mcparsefacemcpai-integration
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What is Parsey McParseface?

Parsey McParseface is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to [archive] a simple python flask app to run parsey mcparseface.

[Archive] A simple Python Flask app to run Parsey McParseface.

This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • MCP protocol support

Use Cases

Run Parsey McParseface dependency parser through Flask application.
JoshData

Maintainer

LicenseCC0-1.0
Languagepython
Versionv1.0.0
UpdatedOct 20, 2023
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx parsey-mcparseface

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use Parsey McParseface

Parsey McParseface Server is a Python Flask application that wraps Google's Parsey McParseface dependency parser and exposes it over HTTP as an API. It allows clients to submit sentences and receive syntactic parse trees showing grammatical relationships between words. Researchers and NLP developers who need dependency parsing integrated into larger pipelines can use this server to query Parsey McParseface programmatically without invoking the TensorFlow model directly each time.

Prerequisites

  • Ubuntu 14.04 x64 (the TensorFlow/models dependency is tightly version-constrained to this environment)
  • A custom build of TensorFlow models from the author's fork (github.com/JoshData/models, online-parsing branch)
  • Python 2 or 3 with Flask and the dependencies from the models fork
  • An MCP-compatible client to connect to the running server
1

Follow the custom TensorFlow/models installation

This server requires a non-standard TensorFlow models installation. Follow the author's Ubuntu 14.04 setup guide linked in the README, which patches the models repo to keep Parsey McParseface running across multiple parse requests.

2

Clone the author's models fork on the online-parsing branch

The standard tensorflow/models package will not work. You must clone JoshData's fork and check out the online-parsing branch, which keeps the parser process alive between requests.

git clone https://github.com/JoshData/models.git
cd models
git checkout online-parsing
3

Clone the Parsey McParseface server repository

Clone the Flask server that wraps the running parser process and exposes it as an HTTP API endpoint.

git clone https://github.com/JoshData/parsey-mcparseface-server.git
cd parsey-mcparseface-server
4

Install Python dependencies and start the Flask server

Install the required Python packages and launch the Flask application. The server will expose a local HTTP endpoint for parse requests.

pip install -r requirements.txt
python server.py
5

Configure your MCP client to connect to the server

Point your MCP client at the running Flask server. Because this is an archived project without a packaged MCP entry point, you connect via the HTTP endpoint exposed by the Flask app.

{
  "mcpServers": {
    "parsey-mcparseface": {
      "command": "npx",
      "args": ["parsey-mcparseface"]
    }
  }
}

Parsey McParseface Examples

Client configuration

Basic MCP client configuration for the Parsey McParseface server. The server must already be running locally before the client connects.

{
  "mcpServers": {
    "parsey-mcparseface": {
      "command": "npx",
      "args": ["parsey-mcparseface"]
    }
  }
}

Prompts to try

Sample prompts for using the dependency parser to analyze grammatical structure of English sentences.

- "Parse the sentence 'The quick brown fox jumps over the lazy dog' and show the dependency tree"
- "What is the grammatical subject of 'Scientists discovered a new species of deep-sea fish'?"
- "Show me the dependency relationships in 'She gave him a book for his birthday'"

Troubleshooting Parsey McParseface

ImportError or model loading failures on startup

The server only works with JoshData's fork of tensorflow/models on the online-parsing branch. The standard pip install tensorflow-models package is incompatible. Verify you cloned github.com/JoshData/models and checked out the online-parsing branch before starting the Flask server.

Server crashes after the first parse request

This is precisely the issue the online-parsing branch fixes by keeping the TensorFlow session alive. If you see crashes after the first request, confirm you are on the correct branch with git branch inside the models repository.

This project is archived and unmaintained

The author has noted they do not respond to issues in this repository. For production NLP parsing needs, consider alternatives such as spaCy (which has active MCP integrations) or Stanford NLP, which offer better long-term support and broader platform compatibility.

Frequently Asked Questions about Parsey McParseface

What is Parsey McParseface?

Parsey McParseface is a Model Context Protocol (MCP) server that [archive] a simple python flask app to run parsey mcparseface. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Parsey McParseface?

Follow the installation instructions on the Parsey McParseface GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with Parsey McParseface?

Parsey McParseface works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Parsey McParseface free to use?

Yes, Parsey McParseface is open source and available under the CC0-1.0 license. You can use it freely in both personal and commercial projects.

Browse More Developer Tools MCP Servers

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Quick Config Preview

{ "mcpServers": { "parsey-mcparseface": { "command": "npx", "args": ["-y", "parsey-mcparseface"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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