Clarvia tackles the cold start problem for AI agents by maintaining a searchable index of over 15,400 tools across MCP servers, APIs, and CLIs. Instead of manually curating tool lists or hoping your agent discovers the right capabilities, you get programmatic access to a scored catalog of what's available. Reach for this when you're building agents that need to dynamically discover and select tools based on task requirements, or when you want to avoid hardcoding integrations. It's essentially a search engine and recommendation system for agent capabilities, letting your code query "what tools can help with X" and get ranked results.
claude mcp add --transport stdio io.github.digitamaz-clarvia uvx clarvia