StackResolve
Find, compare, and audit software for AI agents. Scored registry of tools and MCP servers.
사용해야 할까요
품질 및 안전성
발견 사항 (4)
- LOWfind_tools_for_task에서
- LOWcompare_products에서
- LOWget_pricing에서
- LOWresearch_company에서
도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.
컨텍스트 비용
이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.
설치
원클릭 설치
`claude_desktop_config.json` 파일에 다음을 추가하세요:
{
"mcpServers": {
"stackresolve": {
"url": "https://mcp.stackresolve.dev/mcp"
}
}
}원격 엔드포인트
https://mcp.stackresolve.dev/mcpstreamable-http할 수 있는 일
도구 목록
도구 (15)
🟡resolve(task, api, mcp, self_serve, openapi, ...)
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).
입력 스키마
{
"type": "object",
"properties": {
"task": {
"type": "string"
},
"api": {
"type": "boolean"
},
"mcp": {
"type": "boolean"
},
"self_serve": {
"type": "boolean"
},
"openapi": {
"type": "boolean"
},
"cli": {
"type": "boolean"
},
"discover": {
"type": "boolean"
}
},
"required": [
"task"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}⚪how_to(task)
BEFORE building something, call this: returns the CURRENT (date-stamped), cited, tool-aware way to do a task, so you build from today's best practice instead of training-cutoff memory. Composes live web research + the tool resolver + one synthesis pass into { approach, recommendedTools, steps, gotchas, deprecated, sources, asOf }.
입력 스키마
{
"type": "object",
"properties": {
"task": {
"type": "string"
}
},
"required": [
"task"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢find_tools_for_task(task)
Rank the software an agent should use for a task.
입력 스키마
{
"type": "object",
"properties": {
"task": {
"type": "string"
}
},
"required": [
"task"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢search_tools(query, api, mcp, self_serve, openapi, ...)
Search the registry by query + requirements (api/mcp/self_serve/openapi/cli).
입력 스키마
{
"type": "object",
"properties": {
"query": {
"type": "string"
},
"api": {
"type": "boolean"
},
"mcp": {
"type": "boolean"
},
"self_serve": {
"type": "boolean"
},
"openapi": {
"type": "boolean"
},
"cli": {
"type": "boolean"
}
},
"required": [
"query"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}⚪compare_products(slugs)
Compare products by slug.
입력 스키마
{
"type": "object",
"properties": {
"slugs": {
"type": "array",
"items": {
"type": "string"
}
}
},
"required": [
"slugs"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_profile(slug)
Full registry profile (AgentReady Score, capabilities, sources).
입력 스키마
{
"type": "object",
"properties": {
"slug": {
"type": "string"
}
},
"required": [
"slug"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢list_registry(category, minScore, limit)
List the registry, highest AgentReady Score first.
입력 스키마
{
"type": "object",
"properties": {
"category": {
"type": "string"
},
"minScore": {
"type": "number"
},
"limit": {
"type": "number"
}
},
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}⚪audit(domain)
Audit a product for agent-readiness.
입력 스키마
{
"type": "object",
"properties": {
"domain": {
"type": "string"
}
},
"required": [
"domain"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}⚪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.
입력 스키마
{
"type": "object",
"properties": {
"domain": {
"type": "string"
},
"openapiUrl": {
"type": "string"
}
},
"required": [
"domain"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_company(domain)
Structured company record.
입력 스키마
{
"type": "object",
"properties": {
"domain": {
"type": "string"
}
},
"required": [
"domain"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_pricing(domain)
Normalized pricing.
입력 스키마
{
"type": "object",
"properties": {
"domain": {
"type": "string"
}
},
"required": [
"domain"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}⚪research_company(domain, question)
Grounded, cited answer about a company.
입력 스키마
{
"type": "object",
"properties": {
"domain": {
"type": "string"
},
"question": {
"type": "string"
}
},
"required": [
"domain"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢find_competitors(domain, limit)
Real competitors and alternatives for a company, extracted from live research and returned as structured rows.
입력 스키마
{
"type": "object",
"properties": {
"domain": {
"type": "string"
},
"limit": {
"type": "number"
}
},
"required": [
"domain"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}⚪compare_companies(domains, fields)
Structured side-by-side of companies across fields (description, products, categories, funding, technology).
입력 스키마
{
"type": "object",
"properties": {
"domains": {
"type": "array",
"items": {
"type": "string"
}
},
"fields": {
"type": "array",
"items": {
"type": "string"
}
}
},
"required": [
"domains"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_usage
Your usage this billing period (read-only).
입력 스키마
{
"type": "object",
"properties": {},
"$schema": "http://json-schema.org/draft-07/schema#"
}커뮤니티
증거