Connect-MCP

StackResolve

dev.stackresolve/stackresolve · v0.4.0

Find, compare, and audit software for AI agents. Scored registry of tools and MCP servers.

MCPremoteAPI keyE-commerceTasks & projectsResearch & education

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 15 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

A 83/100

What it does: 15 tools · 11 read, 1 write · E-commerce, Tasks & projects, Research & education

Test call list_registry: worked (1,128 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +12
  • Parameter descriptions: +1
  • Read/write annotations: 0
  • Safe test call: +20
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://mcp.stackresolve.dev/mcp

Tools

15 tools listed at last check
  • 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).

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