Categories › AI & Agents › Multi-agent, orchestration & workflows
Find, compare, and audit software for AI agents. Scored registry of tools and MCP servers.
Remote server: your requests and data go to mcp.stackresolve.dev. Claude Code: claude mcp add --transport http stackresolve https://mcp.stackresolve.dev/mcp · Claude app: Settings → Connectors → Add custom connector.
The tools this server listed when we connected to it, in its own words.
resolve — Best tools for a natural-language task: resolves the task to the capabilities it needs, returns products that expose them ranked by fit and how_to — BEFORE building something, call this: returns the CURRENT (date-stamped), cited, tool-aware way to do a task, so you build from today's bestfind_tools_for_task — Rank the software an agent should use for a task.search_tools — Search the registry by query + requirements (api/mcp/self_serve/openapi/cli).compare_products — Compare products by slug.get_profile — Full registry profile (AgentReady Score, capabilities, sources).list_registry — List the registry, highest AgentReady Score first.audit — Audit a product for agent-readiness.generate_agent_interfaces — Make a product agent-native: from its OpenAPI, generate an MCP server (one tool per operation), a CLI, an llms.txt, and Claude Code/Codex/Cuget_company — Structured company record.get_pricing — Normalized pricing.research_company — Grounded, cited answer about a company.find_competitors — Real competitors and alternatives for a company, extracted from live research and returned as structured rows.compare_companies — Structured side-by-side of companies across fields (description, products, categories, funding, technology).get_usage — Your usage this billing period (read-only).Not tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.