MCP For Claude Marketplace
Tool Namespace Resolver and Fuzzy Matcher

Tool Namespace Resolver and Fuzzy Matcher MCP Connector for Claude

A+

Resolves tool name hallucinations and misspellings using hierarchical matching logic.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides advanced tool resolution capabilities to prevent LLM hallucinations. It uses a strict hierarchy of matching: Exact Match, Case-Insensitive Match, Namespace Match, and finally Fuzzy Matching via Levenshtein distance. It is designed to fix 'tool not found' errors in frameworks like LangChain and CrewAI by mapping misspelled or partial names to valid identifiers. Use resolve_tool_name for single queries, get_matching_tools_bulk for batch processing, or validate_tool_namespace to verify functional groups.

fuzzy-matchinglevenshteinllm-reliabilitytool-resolutionnamespace-matching

3 tools expose this connector's capabilities to your AI agent.

get_matching_tools_bulk

Processes a batch of requested tool names to identify multiple valid targets simultaneously

validate_tool_namespace

Determines if a requested string belongs to a specific functional group or namespace within the toolset

resolve_tool_name

Resolves a single potentially misspelled or partial tool name into a valid identifier from a known list

See how to talk to your AI agent using Tool Namespace Resolver and Fuzzy Matcher.

Resolve the tool name 'pythn' from the list ['code_execution_python', 'search_web']

The tool name 'pythn' has been resolved to 'code_execution_python' with a fuzzy match.

Check if 'search' belongs to the 'web_' namespace in ['web_search', 'web_map', 'file_read']

Yes, 'search' matches the 'web_' namespace, which contains 2 tools.

Find all matches for ['search_web', 'pythn'] in ['search_web', 'code_execution_python']

Matches found: 'search_web' (exact) and 'code_execution_python' (fuzzy).

The engine follows a strict priority: it first looks for an exact match, then a case-insensitive match, then a namespace match, and finally a fuzzy match using Levenshtein distance. Once a higher-priority match is found, the search stops.

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