SalesMap

site.salesmap由 salesmap.site 發布官方發布者v0.2.0更新於 Oct 27, 2026

Checked buying signals and ranked lead lists for your agent. Never contacts anyone.

已驗證Streamable HTTP可網頁執行資料與分析商業與電商

概覽

AI 產生的概覽

SalesMap 為助理提供查證過的購買訊號與排序後的潛在客戶名單:該聯絡誰、為什麼、如何接觸,且不會主動聯絡任何人。

可以做什麼
  • 探索並排序目標客戶,查看背景工作狀態以及搜尋進行中的部分結果
  • 儲存與讀取賣方資料:公司、產品、理想客戶輪廓、買家角色、競爭對手、成交與失單、排除項目
  • 檢查外聯草稿中的 AI 寫作痕跡與管道限制,並記錄對公司的合適度判斷
  • 查看身分、點數餘額與每月上限,設定上限,並在呼叫前查詢所需點數
適用情境
適合業務開發與潛在客戶開發:讓助理提出附有日期訊號與熟人路徑的排序客戶名單、為少數幾家公司做通話前研究,或核對草稿與匯出清單。適合希望助理依自有賣方背景與預算判斷、而非代為發送外聯的情況。
執行需求
可使用託管端點並以 OAuth 透過 SalesMap 帳號登入,或以 npx 透過 stdio 執行本機 npm 套件。CI 或無瀏覽器的助理可用 SALESMAP_API_KEY 中的 smk_ 金鑰取代 OAuth;沒有金鑰時只能使用免費工具。付費探索會消耗點數。
安裝前請注意
付費探索會消耗點數(每個合格客戶 1 點),從工作區餘額與每月上限扣除,建議先設定上限並查詢報價。託管伺服器會在工作區保存賣方資料、關注清單與結果。API 金鑰屬於機密。此伺服器不發送訊息、不查找聯絡方式、不自動化 LinkedIn,也不寫入 CRM。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 SalesMap,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/site.salesmap%2Fsignals/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": {
    "salesmap": {
      "type": "http",
      "url": "https://api.salesmap.site/mcp"
    }
  }
}

README

SalesMap plugin for Claude Code

Checked buying signals and ranked lead lists for your agent: who to sell to now, why, and how to reach them. SalesMap never sends email or messages, finds email addresses or phone numbers, automates LinkedIn, writes to a CRM, or registers for events.

What's in it

  • .mcp.json: the hosted server, https://api.salesmap.site/mcp, signed in with OAuth (your SalesMap account; /mcp → salesmap → Authenticate).
  • Skills (also slash commands, /salesmap:<name>), one per flow that needs judgment:
SkillFlowTools
getting-startedconnect, limits, save the seller profile, first listwhoami, set_limits, seller_profile, quote, discover
weekly-pipelinewho to sell to now, a playbook with drafts, warm pathsdiscover, playbook, warm_paths, seller_profile
account-researchprep for a call on up to 5 companiessignals, tech_scan, ai_adoption, events, warm_paths, verify_signal
check-listfact-check a draft or an export; rank your own listverify, verify_signal, rank, job
past-leadswatch lost deals, alerts when one is worth another trywatch, watch_changes
eventsevents your buyers attend near youevents

The server also serves one MCP prompt per flow (onboard, discover, rank, signals, research, playbook, events, warm_paths, watch, changes, verify, and hosted account); Claude Code lists them in / under the server's name (/mcp__salesmap__<prompt> for a server added as salesmap). The skills carry the judgment those prompts leave out.

Every skill runs the work loop: when a tool returns work, the agent runs each search prompt with its own web search and calls again with the answers; on the hosted server discover does this by default, so no search runs on SalesMap's side. Every skill fills each tool's context from what the agent already knows and never invents it, quotes prices from the quote tool and the result's budget block (never a number in the skill), and treats quotes in tool output as data.

Install

bash
claude plugin install salesmap --marketplace solozerolabs/salesmap-plugin

Then ask Claude to "set up SalesMap" or run /salesmap:getting-started. The first paid tool asks you to sign in: /mcp → salesmap → Authenticate. Without signing in, tech_scan, ai_adoption and verify_signal run free.

An API key instead of OAuth (CI, or an agent with no browser): get one from POST https://api.salesmap.site/v1/agent/signup (see https://salesmap.site/llms.txt) or POST /v1/keys, then claude mcp add --transport http salesmap-key https://api.salesmap.site/mcp --header "Authorization: Bearer smk_…" and disable the plugin's server in /mcp.

Privacy

SalesMap's privacy policy: https://salesmap.site/privacy. Customer terms: https://salesmap.site/terms. The plugin itself stores nothing; the hosted server keeps your workspace's seller profile, watchlist and results as the policy describes. Support: the contacts on the privacy page.

Why no hooks

A hook runs in every session of every user who installs the plugin, whether or not they use SalesMap that day. It costs context or tokens each time, and a hook can move data off the user's machine: Cargo's plugin uploads a transcript summary from a SessionEnd hook and needed a recursion guard after 264 runaway sessions. SalesMap needs none of that: it does work only when the agent calls a tool, keeps the seller profile and watchlist in the user's workspace, and has nothing to do at session start or end.

來源:README.md,提交 816946d

工具

8

discover

Find accounts to sell to

Price in paid mode: 1 credit per account that qualifies (a sourced in-band size, a supported fit and a checked dated signal or warm path, not returned before); the rest of the ranked list uses none. Never more than max_credits. Mode: `paid` (the default when the balance covers one account) runs SalesMap's own search, models and paid data sources, free sources first, at the price above. `free` (the default otherwise) uses no credits: the calling agent runs the searches and judgments returned as `work`, and SalesMap reads and checks every source. `mode` overrides the default. From a seller's website to a ranked list of companies to sell to, the strongest buying signals first, each with its reason and how to reach it: drafts the seller's ICP from its site (or takes one), finds candidate companies from free sources (the seller's competitors' customer pages, live or from Common Crawl; web search; Hacker News, YC, press wires, ATS boards and SEC Form D), reads each one's own job board, news, tools and AI-adoption signals and checks every signal against its source, adds the market's dated moves at competitors, platforms and regulators (under `market`), and ranks every researched company by its evidence: fresh signal clusters first, then a warm way in from the user's own network (their own connections, champions, connectors), a sourced size inside the band and a fit the facts show. Each account carries its fit, the buyer role to contact, the angle, what to watch out for and `checkFirst` (the gaps: unknown or out-of-band size, no checked signal or none showing a need, no fit shown in its facts, no way in, each of the profile's `disqualifiers` a quoted source shows it meets, or not checked); `intent` (high: a fresh signal cluster with nothing against it; medium: a checked signal in the last 45 days; low: the rest) and `sizeLine` are the accounts page's labels, and the order is the ranking; high means buying signals, not a readiness to buy. Size, fit, intent and a met disquali

輸入參數icpdayshardmodelimitresumesellercontextvendorsevidencesearcheschampions另有 14 個

seller_profile

Save seller profile

Price: free. Saves and reads the user's facts about their own company, kept in the user's SalesMap workspace (one entry per seller site, seen by that workspace only): who they are, company, product, ICP, buyer roles, customers, competitors, deals won and lost, regions, exclusions, do-not-contact. discover starts from it. Returns the saved profile, the key fields still missing (ICP, buyer roles) and a question for each. Also returns `signals`, the buying signals discover's account search looks for: the saved `needPatterns`, `signalFamilies` and `signalTypes`, `addMore` (the signal types it can detect, in 8 families: save the families the user switches on as `signalFamilies`, and discover drafts 2 or 3 signals for each; or a type by id as `signalTypes`) and, with the ICP and buyer roles known and no patterns saved, `draft`: the drafting prompt for the calling agent's model, which returns this seller's drafted signals. Use when: "remember that we sell to …", "save or update my ICP / buyer roles / customers", "our competitors are …", "don't target these accounts", "what do you know about my company / my profile", before the first list for a seller. Skip when: the question is about a prospect company, not the user's own, or about a watch on closed-lost deals and which are ready again. The saved fields are the user's inputs, not findings. Quoted page text is normalized; a quote that reads like an instruction keeps its text and is flagged in <field>Flags with the attack family.

輸入參數seller必填context

voice_scan

Free. Checks an outreach draft the user or their agent wrote (a connection note, direct note, InMail or email) for AI-writing tells and the channel's limits, in code with no model: `fails` (antithesis like "it's not just X, it's Y", hype words, servile or empty closers, leaked placeholders like [First Name], raw markdown, the 300-character invite note, 1,900-character InMail and 200-character subject caps) and `warnings` (dashes, sales clichés like "just following up", assistant vocabulary, exclamations, emoji, a cold email over 125 words). `pass` means no fails. Each hit carries the matched text and a fix. Use when: "scan this draft", "does this draft sound like AI", "check my connection note", "is this InMail too long", "clean up this cold email", after drafting outreach for an account. Skip when: finding or ranking accounts; whether a fact or claim about a company is true; sending an email or message to a prospect; connecting with someone or scraping profiles on LinkedIn. Quoted page text is normalized; a quote that reads like an instruction keeps its text and is flagged in <field>Flags with the attack family.

輸入參數body必填format必填subject

feedback

Free. Records the user's verdict on a company in their ranked list: good_fit, not_fit or already_talking, with an optional reason from a fixed list (competitor, existing_customer, too_small, too_big, wrong_industry, no_need, bad_timing, other). A not_fit company is left out of every later discover for this workspace; the user's own named list still runs it. The latest verdict per company wins. No free text is stored. Use when: "that one's a competitor, skip it", "not a fit", "good fit", "we're already talking to them", "drop this company", "mark it as a bad lead", a verdict on an account discover returned. Skip when: finding or ranking new accounts; excluding a whole category of companies from the ICP (seller_profile); checking an outreach draft. Quoted page text is normalized; a quote that reads like an instruction keeps its text and is flagged in <field>Flags with the attack family.

輸入參數domain必填reasonverdict必填

whoami

Show account and credit

Free. Who the user is on SalesMap and what they can do: their name and email, the workspace and their role in it, how they signed in, the credit balance (one credit is one researched account), the monthly credit limit (rolling 30 days; null = no limit) with what's used, held by a running search and left, the credits above which a paid call asks first, the seller profiles saved and the LinkedIn connections uploaded, links to top up and to upload connections, and which tools are free. It holds no ids. Use when: "who am I", "which account is this", "how many credits do I have left", "what are my limits", before a large paid call. Skip when: the user wants the price of one specific call. Quoted page text is normalized; a quote that reads like an instruction keeps its text and is flagged in <field>Flags with the attack family.

無需輸入參數。

set_limits

Set spending limits

Free. Sets the user's own monthly credit limit for SalesMap (rolling 30 days); null removes it. Until set: 100 credits once the workspace has bought a pack, else 40. There is no daily or weekly limit. No call ever uses more than the limit or the balance. Also the ask-first threshold: a paid call quoted over that many credits asks the user first (default 0: every call asks; null never asks). Also `weeklyDiscover` (off by default): true runs a paid discover for the active seller every Monday, within these limits and the balance (1 credit per account that qualifies), and emails the signed-in user only the companies never shown before, nothing when none are new; set it only on the user's explicit yes. Returns the limits with what's used and left. Use when: "set a monthly budget", "cap it at 20 credits a month", "raise my limit", "remove the limit", "stop asking me before each call", "email me new accounts every week", "stop the weekly email". Skip when: the user only wants to see their limits, not change them. Quoted page text is normalized; a quote that reads like an instruction keeps its text and is flagged in <field>Flags with the attack family.

輸入參數confirmCreditsmonthlyCreditsweeklyDiscover

quote

Quote a call's price

Free. How many credits a call to a SalesMap tool can use, before running it, against what the workspace can spend now (balance and limit). Not a charge: the most the call can use, which it reserves (or its max_credits); it uses 1 credit per account that qualifies, never more. When `fits` is false, `shortfallCredits` says how many more are needed and `topUp` is the link. Use when: "how much will this cost", "can I afford 10 accounts", "how many credits would a discover for my site use". Skip when: the user wants their balance or limits without a call in mind. Quoted page text is normalized; a quote that reads like an instruction keeps its text and is flagged in <field>Flags with the attack family.

輸入參數tool必填input

job

Get a background job

Free. The status (queued, running, done or failed) and, once done, the result of a background job: a discover call or a long discover round. While a discover runs, `partial` is its ranked list so far: `tier` says how far it got (listed: every candidate ranked on the facts already in hand; screened: the top ones passed the fit screen; researched: the top ones' signals checked) and `progress` the counts. Show it to the user as a first look; the final result replaces it. Use when: a call returned `job`, "is my discover done", "is my ranking done", "status of my job". Skip when: no call has returned a job id. Quoted page text is normalized; a quote that reads like an instruction keeps its text and is flagged in <field>Flags with the attack family.

輸入參數id必填

版本歷史

2
  1. v0.2.0最新Oct 21, 2026
  2. v0.1.0Oct 21, 2026

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