GenPark Levenshtein Fuzzy Tool Matcher
LocalAbout GenPark Levenshtein Fuzzy Tool Matcher
GenPark Levenshtein Fuzzy Tool Matcher is a Python matcher that uses Levenshtein distance and fuzzy similarity to correct hallucinated or typo-prone LLM tool calls. It runs as an MCP server or can be imported as a library, without third-party runtime dependencies.
Key features
- 01Matches tools by Levenshtein distance
- 02Uses fuzzy similarity
- 03Corrects mistaken or misspelled tool calls
- 04Runs on the Python standard library
Use cases
- 01Resolving a misspelled tool call
- 02Matching an incorrect tool name to an available tool
MCP support
Exposes fuzzy tool matching to MCP clients as an MCP server.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEGenPark Levenshtein Fuzzy Tool Matcher
Fast Levenshtein distance and fuzzy similarity matcher autocorrecting hallucinated or typo-prone LLM tool calls.
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.
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