StackResolve

dev.stackresolve由 stackresolve.dev 發布官方發布者v0.4.0更新於 Oct 24, 2026

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

已驗證Streamable HTTP可網頁執行網頁搜尋與抓取開發者工具商業與電商

概覽

AI 產生的概覽

遠端 MCP 伺服器,用來為 AI 代理尋找、比較與稽核軟體及 MCP 伺服器,並提供結構化的公司調查。

可以做什麼
  • 把自然語言任務解析成依契合度排序、適合代理使用的工具,可加上需求篩選並連網探索
  • 搜尋、列出與比較登錄表中的產品,讀取含 AgentReady 評分的完整檔案
  • 取得附引用的最新做法指引,並稽核產品的代理就緒度
  • 依 OpenAPI 產生代理介面:MCP 伺服器、CLI、llms.txt 與安裝片段
  • 查詢結構化公司紀錄、標準化定價、競爭對手及公司並列比較
  • 查看目前計費週期的自身用量
適用情境
當助手需要為某項任務挑選軟體或 MCP 伺服器、判斷產品是否適合代理使用,或需要附引用的公司資訊與定價事實而不想自行爬取網頁時適用。
執行需求
遠端 streamable HTTP 端點,無需安裝。登錄表讀取不需金鑰;resolve、how_to、audit、research 等計費工具需要免費 API 金鑰,透過 x-api-key 標頭送出。可選的 npm CLI 與 SDK 需要 Node 18 以上版本。
安裝前請注意
x-api-key 標頭屬於機密,不要寫進共用設定。計費工具會消耗金鑰配額,get_usage 會顯示計費週期用量。安裝指令會產生金鑰並修改本機的代理設定檔與技能檔,建議先以 dry-run 檢視變更。請求內容與被稽核的網域會傳送給第三方服務。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 StackResolve,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/dev.stackresolve%2Fstackresolve/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "stackresolve": {
      "type": "http",
      "url": "https://mcp.stackresolve.dev/mcp"
    }
  }
}

README

stackresolve

Official TypeScript/Node SDK for the StackResolve API.

StackResolve helps agents discover, evaluate, select, install, and use software (AgentReady), and compresses web research into structured company data calls (CompanyData). This SDK is a thin, typed wrapper over the live REST API.

One line for your coding agent

bash
npx stackresolve@latest install

That mints an API key if you have none, registers the hosted MCP server for every coding agent on the machine (Claude Code, Cursor, Codex, Windsurf, VS Code), writes the StackResolve skill to ~/.claude/skills/stackresolve/SKILL.md, and verifies the key against the API. It is safe to re-run, and it backs up every file it changes.

bash
npx stackresolve@latest install --dry-run     # show what would changenpx stackresolve@latest install --cursor      # one agent onlynpx stackresolve@latest install --project --rules   # also wire up the current repo

MCP server

The hosted server needs no install. The handshake and the registry reads (search_tools, get_profile, compare_products, list_registry) work without a key. Metered tools (resolve, how_to, audit, research_company, get_company, get_pricing) need a free key from https://stackresolve.dev/developers, sent as the x-api-key header.

Claude Code:

bash
claude mcp add --transport http stackresolve https://mcp.stackresolve.dev/mcp

Cursor (~/.cursor/mcp.json):

json
{  "mcpServers": {    "stackresolve": {      "url": "https://mcp.stackresolve.dev/mcp",      "headers": { "x-api-key": "ar_..." }    }  }}

Codex (~/.codex/config.toml):

toml
[mcp_servers.stackresolve]url = "https://mcp.stackresolve.dev/mcp"
[mcp_servers.stackresolve.headers]x-api-key = "ar_..."

Tools: resolve, how_to, find_tools_for_task, search_tools, compare_products, get_profile, list_registry, audit, generate_agent_interfaces, get_company, get_pricing, research_company, find_competitors, compare_companies, get_usage.

CLI

bash
npm i -g stackresolvestackresolve find "scrape javascript-heavy sites from claude code"stackresolve audit stripe.comstackresolve company vercel.comstackresolve --help

Install

bash
npm install stackresolve      # SDKnpm i -g stackresolve         # CLI

Requires Node 18+ (uses the built-in global fetch). No runtime dependencies.

Quickstart

ts
import { StackResolve } from 'stackresolve'
const sr = new StackResolve({ apiKey: process.env.STACKRESOLVE_API_KEY })
// 1. Audit a domain: AgentReady scores, facts, and issues.const report = await sr.audit('stripe.com')console.log(report.scores.agentready, report.issues)
// 2. Structured company data.const company = await sr.getCompany('vercel.com')console.log(company.name, company.description)
// 3. Task -> ranked, agent-ready tools.const tools = await sr.findTools('send transactional email from a Node service')console.log(tools.results)
// 4. Run an Agent Discovery check (needs an API key).const discovery = await sr.runDiscovery('firecrawl')console.log(discovery)

Authentication

Get an API key at stackresolve.dev. Pass it to the constructor, or set the STACKRESOLVE_API_KEY environment variable:

ts
const sr = new StackResolve({ apiKey: 'ar_...' })// or, reading STACKRESOLVE_API_KEY from the environment:const sr2 = new StackResolve()

The key is sent as the x-api-key header on every request. Public endpoints (audit, search, profiles, company data, ...) work without a key, subject to an anonymous rate limit. Gated endpoints (monitors, usage, discovery runs) need one.

You can point the client at a different host with baseUrl or the STACKRESOLVE_BASE_URL environment variable:

ts
const sr = new StackResolve({ apiKey, baseUrl: 'https://api.stackresolve.dev' })

Errors

Any non-2xx response throws a StackResolveError carrying the HTTP status and the parsed body:

ts
import { StackResolve, StackResolveError } from 'stackresolve'
try {  await sr.getUsage()} catch (err) {  if (err instanceof StackResolveError) {    console.error(err.status, err.body)  }}

Methods

AgentReady: audit(domain), findTools(task), search(query, requirements?), compare(slugs), getProfile(slug), listRegistry(opts?), getCategories(), getCategory(slug), getDiscovery(slug), runDiscovery(slug), getScoreHistory(slug), generate(domain, openapiUrl?), deploy(domain, openapiUrl?).

CompanyData: getCompany(domain), getPricing(domain), getCompetitors(domain), research(domain, question?), compareCompanies(domains).

Monitors + account (API key required): listMonitors(), addMonitor(slug, opts?), runMonitorNow(slug), getUsage(), getMyProfile().

Other languages and frameworks

Python SDK:

bash
pip install stackresolve

LangChain tools, so an agent can pick software and research companies without a search-and-scrape loop:

bash
pip install langchain-stackresolve
python
from langchain_stackresolve import StackResolveToolkittools = StackResolveToolkit().get_tools()

REST directly: https://api.stackresolve.dev, OpenAPI at /openapi.json, llms.txt at /llms.txt.

License

MIT

來源:README.md,提交 3b3a585

工具

15

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 new products into the registry when coverage is thin (slower, costs more).

輸入參數apiclimcptask必填openapidiscoverself_serve

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, gotchas, deprecated, sources, asOf }.

輸入參數task必填

find_tools_for_task

Rank the software an agent should use for a task.

輸入參數task必填

search_tools

Search the registry by query + requirements (api/mcp/self_serve/openapi/cli).

輸入參數apiclimcpquery必填openapiself_serve

compare_products

Compare products by slug.

輸入參數slugs必填

get_profile

Full registry profile (AgentReady Score, capabilities, sources).

輸入參數slug必填

list_registry

List the registry, highest AgentReady Score first.

輸入參數limitcategoryminScore

audit

Audit a product for agent-readiness.

輸入參數domain必填

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.

輸入參數domain必填openapiUrl

get_company

Structured company record.

輸入參數domain必填

get_pricing

Normalized pricing.

輸入參數domain必填

research_company

Grounded, cited answer about a company.

輸入參數domain必填question

find_competitors

Real competitors and alternatives for a company, extracted from live research and returned as structured rows.

輸入參數limitdomain必填

compare_companies

Structured side-by-side of companies across fields (description, products, categories, funding, technology).

輸入參數fieldsdomains必填

get_usage

Your usage this billing period (read-only).

無需輸入參數。

版本歷史

1
  1. v0.4.0最新Sep 16, 2026

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