kura-mcp

# 🔍 Kura **Tool intelligence for AI agents.** Analyze, optimize, and harmonize MCP tool descriptions and OpenClaw skills. Your agents connect to dozens of MCP tools and skills. Their descriptions are inconsistent, conflicting, and unoptimized. The result: wrong tool selection, wasted tokens, unreliable agent behavior. Kura fixes this. ```bash pip install kura-mcp kura scan path/to/mcp-config.json ``` ## What it does **Detects conflicts** — finds tools with overlapping descriptions that confuse your agent's tool selection. **Scores quality** — rates every tool description 0-100 and tells you exactly what to fix. **Estimates token waste** — shows how much of your token budget goes to tool descriptions and where to cut. **Suggests improvements** — optionally uses an LLM to rewrite vague descriptions into precise ones. ## Example ``` $ kura scan ~/.config/claude/claude_desktop_config.json 🔍 Kura — Tool Quality Report Scanned: 47 tools across 8 MCP servers Overall catalog health: 64/100 ── HIGH CONFLICTS ────────────────────────────────── ⚠ github/create_issue ↔ jira/create_ticket (0.92) Both describe creating issues/tickets with title and description. ⚠ filesystem/search ↔ browser/find (0.87) Both describe searching/finding with patterns. ── QUALITY ISSUES ────────────────────────────────── ✗ filesystem/search (23/100) • Description too vague: "Search for files" • No parameter descriptions ── TOKEN BUDGET ──────────────────────────────────── Total catalog: 18,400 tokens Estimated after optimization: ~7,200 tokens (-61%) ``` ## Install ```bash # Core (quality scoring + token estimation) pip install kura-mcp # With semantic similarity detection + NLP verb detection pip install kura-mcp[analysis] # With live MCP server connections + OAuth pip install kura-mcp[dump] # With LLM-enhanced scoring (Anthropic, OpenAI, or Google Gemini) pip install kura-mcp[suggest] # Everything pip install kura-mcp[all] ``` #…