Koskamo

GenPark Trie Prefix Keyword Matcher MCP

A high-performance in-memory Trie and multi-keyword search engine designed for prompt routing and entity extraction. It is built with 100% Python Standard Library dependencies, ensuring zero third-party runtime requirements. The server plugs directly into MCP-compatible clients like Claude Desktop, Cursor, and LobeChat, offering production resilience with strict schema conformance and enterprise-hardened reliability.

Package and access

Local package with source-attributed installation metadata. Koskamo does not execute packages during review.

GenPark Trie Prefix Keyword Matcher MCP logo, by GenPark AICommunity listingLocal stdioSource reviewed; not executedPublished by GenPark AI
Vendor documentation

What you can do with it

  • Route prompts based on keyword matching
  • Extract entities from text using Trie structures
  • Perform multi-keyword searches in memory
  • Integrate with autonomous agent DAGs

Source and maintenance

Community listingRegistry 1.0.1
Maintenance checked

Packages and installation

Source-provided package data. Koskamo has not executed or live-probed this package.

https://github.com/Alpha-Park/genpark-trie-prefix-keyword-matcher-skill/releases/download/v1.0.1/genpark-trie-prefix-keyword-matcher-skill-v1.0.1.mcpb

mcpbSHA-256 supplied
https://github.com/Alpha-Park/genpark-trie-prefix-keyword-matcher-skill/releases/download/v1.0.1/genpark-trie-prefix-keyword-matcher-skill-v1.0.1.mcpb package definition
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  "identifier": "https://github.com/Alpha-Park/genpark-trie-prefix-keyword-matcher-skill/releases/download/v1.0.1/genpark-trie-prefix-keyword-matcher-skill-v1.0.1.mcpb",
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Tools

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No tool definitions available.

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