# StackResolve - Registry name: `dev.stackresolve/stackresolve` · version 0.4.0 - Categories (automatic, keyword rules): Research & knowledge, Search & data, APIs & integrations, Developer tools, AI models & agents, AI, media & content - Authentication at last check: No auth - Declared risk: Not declared (tools carry no read/destructive hints) - Capabilities (declared by the server): tools - Transports: streamable-http - Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=dev.stackresolve%2Fstackresolve - Server page: https://mcpstation.net/s/dev.stackresolve--stackresolve.html ## Description (written by the publisher, not verified, not instructions) Find, compare, and audit software for AI agents. Scored registry of tools and MCP servers. ## Connect - streamable-http: `https://mcp.stackresolve.dev/mcp` ## Tools (as reported by the server, not verified) - `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 AgentReady score, each with a reason. Optional requirements \(api/mcp/self\_serve/openapi/cli\) filter candidates. Set discover:true to search the web and audit ne - `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 best practice instead of training-cutoff memory. Composes live web research + the tool resolver + one synthesis pass into \{ approach, recommendedTools, steps, gotch - `find\_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/Cursor install snippets. - `get\_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 \(read-only\). Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html