GenPark RAG Semantic Boundary Chunker MCP server
Semantic boundary preserving text chunker maintaining markdown headers, code fences, and paragraphs
7 stars
Reviews
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GenPark RAG Semantic Boundary Chunker tools
No tool declarations could be read from the package source. They show once the server is installed.
Public scan report
scanner v0.1.10 · 2026-10-27 · same rubric, same numbers if you re-run it
- –Code scanpackage could not be scannedn/a
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitylocal package, no credentials required12/15
- Maintenancelast push 8 days ago15/15
- Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
How GenPark RAG Semantic Boundary Chunker compares
Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 88/100
- higher than 80% of 4,464 AI and agents servers
- GitHub stars
- 7
- more than 81% of 2,697 AI and agents servers
Install GenPark RAG Semantic Boundary Chunker in Claude Code, Cursor or VS Code
The registry entry has no remote endpoint or installable package.
What the publisher says
From the GenPark RAG Semantic Boundary Chunker repository's README, as published. We do not edit it. Read it on GitHub
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.pyUse directly as a library:
from client import *See example_usage.py for comprehensive integration demonstrations.
📄 License
MIT License. Maintained by GenPark AI.
Nothing above is checked by us. What we check is on the safety report.
GenPark RAG Semantic Boundary Chunker: common questions
- Is GenPark RAG Semantic Boundary Chunker MCP server safe?
- Yes, by our scan: it is graded A (88/100). Read the GenPark RAG Semantic Boundary Chunker safety report
- Does GenPark RAG Semantic Boundary Chunker need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is GenPark RAG Semantic Boundary Chunker maintained?
- The last commit was 14 days ago (2026-10-19). The latest release is v1.0.1.
- What can I use instead of GenPark RAG Semantic Boundary Chunker?
- Servers from other publishers that do the same job: DataSinking MCP server, Serena MCP: the IDE for your agent MCP server and Basic Memory MCP server.
- How does GenPark RAG Semantic Boundary Chunker compare with other AI and agents MCP servers?
- safety score 88/100 (higher than 80% of 4,464 AI and agents servers); github stars 7 (more than 81% of 2,697 AI and agents servers). Full comparison.
Alternatives to GenPark RAG Semantic Boundary Chunker
Same job from other publishers: the closest match first, then the best rated.
DataSinkingFull-text financial reports (US, China, Japan, Korea, Taiwan, UK) as clean Markdown for RAG agents.not reviewedEstablishedA- Serena MCP: the IDE for your agentA powerful toolkit for coding, providing semantic retrieval and editing capabilities.not reviewedWidely usedC
- Basic MemoryLocal-first knowledge management with bi-directional LLM sync via Markdown files.not reviewedWidely usedB
- PaperBananaGenerate academic diagrams and statistical plots from text using multi-agent AI.not reviewedEstablishedA
- Pm Claude Skills1310 professional Agent Skills + workflow recipes — searchable & fetchable over MCP.not reviewedEstablishedA
