English Français العربية

GenPark RAG Semantic Boundary Chunker

Official registry Developer tools

Semantic boundary preserving text chunker maintaining markdown headers, code fences, and paragraphs

Source code Website Documentation

What can you do with GenPark RAG Semantic Boundary Chunker?

  • 100% Python Standard Library: Zero third-party runtime dependencies.
  • MCP Native: Plugs directly into Claude Desktop, Cursor, LobeChat, and autonomous agent DAGs.
  • Production Resilience: Strict schema conformance, zero data loss, enterprise hardened.

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

MCPB package https://github.com/Alpha-Park/genpark-rag-semantic-boundary-chunker-skill/releases/download/v1.0.1/genpark-rag-semantic-boundary-chunker-skill-v1.0.1.mcpb

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. GenPark RAG Semantic Boundary Chunker
  2. 🌟 Key Features
  3. 🚀 Installation & Usage
  4. 📄 License

GenPark RAG Semantic Boundary Chunker

Semantic boundary preserving text chunker maintaining markdown headers, code fences, and paragraphs with token overlap.

Part of the GenPark AI Agent Skills Ecosystem.

🌟 Key Features

  • 100% Python Standard Library: Zero third-party runtime dependencies.
  • MCP Native: Plugs directly into Claude Desktop, Cursor, LobeChat, and autonomous agent DAGs.
  • Production Resilience: Strict schema conformance, zero data loss, enterprise hardened.

🚀 Installation & Usage

Run as an MCP server:

python mcp_server.py

Use directly as a library:

from client import *

See example_usage.py for comprehensive integration demonstrations.

📄 License

MIT License. Maintained by GenPark AI.

Frequently asked questions

What is GenPark RAG Semantic Boundary Chunker?

Semantic boundary preserving text chunker maintaining markdown headers, code fences, and paragraphs

How do I install GenPark RAG Semantic Boundary Chunker?

Follow the installation steps in its documentation, shown on this page and in its repository.

Does GenPark RAG Semantic Boundary Chunker need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is GenPark RAG Semantic Boundary Chunker open source?

Its code is public on GitHub, but the repository does not declare a standard license.

Who maintains GenPark RAG Semantic Boundary Chunker?

It is published by alphaparkinc. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.