Connection check
verified live · 27h ago
stackresolve
Find, compare, and audit software for AI agents. Scored registry of tools and MCP servers.
Tools
15
GitHub stars
—
Installs / wk
386
Licence
MIT
Transport
streamable-http, stdio
Last checked
27h ago
Tools & capabilities
15 toolsRead from the running server on 27h ago.
audit
domain*
Audit a product for agent-readiness. Audit a product for agent-readiness.
compare_companies
fieldsdomains*
Structured side-by-side of companies across fields (description, products, categories, funding, technology). Structured side-by-side of companies across fields (description, products, categories, funding, technology).
compare_products
slugs*
Compare products by slug. Compare products by slug.
find_competitors
limitdomain*
Real competitors and alternatives for a company, extracted from live research and returned as structured rows. Real competitors and alternatives for a company, extracted from live research and returned as structured rows.
find_tools_for_task
task*
Rank the software an agent should use for a task. Rank the software an agent should use for a task.
generate_agent_interfaces
domain*openapiUrl
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. 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
domain*
Structured company record. Structured company record.
get_pricing
domain*
Normalized pricing. Normalized pricing.
get_profile
slug*
Full registry profile (AgentReady Score, capabilities, sources). Full registry profile (AgentReady Score, capabilities, sources).
get_usage
Your usage this billing period (read-only). Your usage this billing period (read-only).
how_to
task*
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 mem… 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, gotchas, deprecated, sources, asOf }.
list_registry
limitcategoryminScore
List the registry, highest AgentReady Score first. List the registry, highest AgentReady Score first.
research_company
domain*question
Grounded, cited answer about a company. Grounded, cited answer about a company.
resolve
apiclimcptask*openapidiscover
+1
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. Op… 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 new products into the registry when coverage is thin (slower, costs more).
search_tools
apiclimcpquery*openapiself_serve