MIT
Tokenectomy-Razor
Related Servers
Alternatives to Tokenectomy-Razor
Related Servers
- FlicenseNot gradedqualityCmaintenanceA local-first MCP server that gives AI coding agents runtime visibility and AI-managed debug logging. It replaces blind print() debugging by turning runtime execution into causal chains, allowing agents to instantly locate bugs by finding missing .success events in Python and TypeScript code. Single binary with MCP, CLI, and HTTP interfaces.-
- FlicenseNot gradedqualityDmaintenanceA lightning-fast, language-agnostic code analysis MCP (Model Context Protocol) server built in Rust9-
- AlicenseBqualityAmaintenanceA Rust MCP server and CLI for coordinating session handoffs between Grok Build and other coding agents.223MIT
- AlicenseNot gradedqualityBmaintenanceLocal-first code intelligence and safety layer for AI coding agents. MCP server exposes dependency graph, impact analysis, and AST-compressed repo context, backed by typed local memory, patch-scope safety gates, and git-independent transaction rollback.1MIT
- FlicenseNot gradedqualityAmaintenanceLocal MCP server that lets your AI coding agent query its own cross-tool project history - file/command freshness, past test failures, cost & token spend, cache status, and session handoff - over stdio, 100% local, no telemetry.45-
- AlicenseNot gradedqualityAmaintenanceLocal-first MCP server that provides project context, verification gates, and structured tools for coding agents to discover knowledge, run diagnostics, and execute allowlisted commands within a repository.35MIT
TDQS
A3.5/5.0
Scored across 3 tools
Disambiguation5/5
Each tool has a clearly distinct role: extracting error context, searching for solutions, and applying a patch. There is no overlap in functionality.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern in snake_case: get_error_context, search_stack_overflow, apply_code_patch. No naming deviations.
Tool Count5/5
Three tools form a tight, well-scoped workflow for handling and fixing errors. Neither too thin nor excessive for the stated purpose.
Completeness4/5
The core loop of retrieve context → search for solution → apply fix is covered. A minor gap is lack of a post-patch verification step, but the surface is functional.
Maintenance
ActivityMaintained
ResponsivenessResponsive