Generect

com.generect由 generect.com 發布官方發布者v0.13.1更新於 Nov 10, 2026

面向AI代理的B2B潛在客戶和公司資料:免費搜尋,僅為電子郵件、電話和資料付費。

AI 翻譯由 AI 模型根據下方的原文描述翻譯,可能有誤。

原文描述

B2B lead and company data for AI agents: free search, pay only for emails, phones, profiles.

已驗證Streamable HTTP可網頁執行網頁搜尋與抓取商業與電商

概覽

Generect 的託管 MCP 服務(mcp.generect.com),由 generect.com 發布;需要 OAuth 登入;Streamable HTTP;21 個工具。

暫無 AI 概覽:以下資訊來自註冊中心條目和服務本身。

發布者
generect.com
端點
mcp.generect.com
最近檢查

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Generect,將其新增到工作區。
  2. 連接 所需的 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
  3. 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/com.generect%2Fgenerect-mcp/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。 客戶端會在首次連接時完成 OAuth 登入。

{
  "mcpServers": {
    "generect": {
      "type": "http",
      "url": "https://mcp.generect.com/mcp"
    }
  }
}

README

[Generect]

Generect MCP Server

B2B lead and company data for AI agents.
Search and audience sizing are free. You pay only for the emails, phones and full profiles you keep.

[npm version] [MCP Registry] [Docs] [License]

What it does

Give Claude, ChatGPT, Cursor or your own agent access to the Generect B2B database: people and companies by ICP, emails, phones and full profiles.

  • Free to explore. Counting an audience is free, and so is a database search with thin rows (who, role, where, which company), up to a daily row quota per account.
  • Pay for what you keep. Emails are billed only when a valid one is found, phones only when found, full profiles per record found.
  • No surprise bills. Every tool says up front whether it costs money, every response carries a cost block with the amount actually charged, and calls above a spend ceiling need an explicit confirmation. Tools that can charge are not marked read-only, so Claude and other hosts ask before running them (choose "Always allow" for the ones you trust); counting, balance and health run without asking.
  • Safe to try. A test key returns realistic fictional data at real speed and charges nothing.
  • Interactive in the chat. In Claude, ChatGPT and other hosts that support MCP Apps, results come back as cards you can act on: an audience card with prices, a lead table where you pick people and find their emails, company and profile cards, your balance.

Connect

Get an API key at app.generect.com/settings/api. Clients that support OAuth sign you in without one.

Remote server (recommended)

https://mcp.generect.com/mcp speaks streamable HTTP with OAuth 2.1, so most clients only need the URL. It serves MCP protocol revision 2026-07-28 (stateless, discovered via server/discover) and the 2025 revisions (2025-11-25, 2025-06-18) side by side, so any current client connects without settings.

Claude Code

bash
claude mcp add --transport http generect https://mcp.generect.com/mcp

Claude.ai and Claude Desktop: Settings, Connectors, Add custom connector, then paste https://mcp.generect.com/mcp.

Cursor (.cursor/mcp.json) and other JSON-configured clients:

json
{  "mcpServers": {    "generect": {      "url": "https://mcp.generect.com/mcp"    }  }}

The first connection opens the Generect consent page in the browser. Approve it with the account you are already signed into, and the client receives its own token.

No OAuth in your client? Pass the key as a header, for example with mcp-remote:

json
{  "mcpServers": {    "generect": {      "command": "npx",      "args": ["-y", "mcp-remote", "https://mcp.generect.com/mcp", "--header", "Authorization: Bearer YOUR_API_KEY"]    }  }}

Local server (stdio)

json
{  "mcpServers": {    "generect": {      "command": "npx",      "args": ["-y", "generect-ultimate-mcp@latest"],      "env": {        "GENERECT_API_KEY": "YOUR_API_KEY"      }    }  }}

Requires Node 20 or newer. Optional: GENERECT_API_BASE (default https://api.generect.com) and GENERECT_TIMEOUT_MS. If Claude Desktop on macOS reports spawn npx ENOENT, set command to the absolute path of npx.

Test mode

Use a test_… key from app.generect.com/settings/api in any of the configs above. Every tool then answers with fictional data, shows what the real call would have cost and charges nothing. Results carry test_mode: true so an agent cannot mistake them for real people. See Test mode.

Interactive results (MCP Apps)

Hosts that support the MCP Apps extension (Claude on web, desktop and mobile, ChatGPT, VS Code, Goose and others) render these tools as interactive views inside the conversation. Other clients get the same text and structured results as before.

ToolWhat you see
count_leads, count_companiesThe audience size, your filters, what the next step costs at your prices, and a button to see the first 25
search_leads, preview_leadsThe top people inline; open all of them as a table, filter, select, and find work emails right there. You confirm the maximum before anything is spent, a miss is free, and found emails go back to Claude so it can use them
search_companiesCompany cards and a table, with a one-click ask for decision makers at them
enrich_lead, get_lead_by_url, enrich_companyA profile card with the experience timeline and a find-email button
get_balanceBalance, this month's spend and your per-operation prices
generate_emailWhich emails were found and what it cost

The views follow the host's theme (light and dark), fonts and layout, and work on phones. Results from a test key are labelled as fictional.

Tools

Free

ToolWhat it does
count_leadsHow many people match an ICP, and what the next step costs at your rates. Start here.
count_companiesThe same for companies.
search_leadsPeople matching an ICP. Free with the default thin rows (database mode, daily quota).
search_companiesCompanies matching an ICP. Free with the default thin rows (database mode, daily quota).
get_balanceBalance, your real per-operation prices, and optionally spend by operation or by token.
get_bulk_jobPoll a bulk job (the work was billed at submit time).
list_webhooks, create_webhook, update_webhook, delete_webhook, test_webhookManage the webhook endpoints that receive bulk-job completion events.
healthLiveness and credential check against a free endpoint. Safe for monitors.

Billable

ToolBilled
search_leads, search_companies with detail: "full", in realtime mode and once the free quota is used upper returned row
preview_leadsper returned row (count_only: true is free)
resolve_profileper resolved profile, the cheapest paid call; an unresolvable link is free
enrich_lead, get_lead_by_urlper record found
enrich_companyper record found
generate_emailper valid email found
validate_emailper email submitted, whatever the verdict
find_phoneper phone found, the most expensive operation
start_bulk_jobper record, reserved when the job is submitted

Prices depend on your account tier: get_balance returns yours, and every response reports what was actually charged.

A budget-safe flow

count_leads (free)  →  search_leads, thin rows (free)  →  generate_email on the ids you keep (per valid email)                                                        →  enrich_lead / find_phone only where needed

Thin and full rows

search_leads and search_companies take detail:

  • left out (default): thin rows while the free tier is available. Once it is not (quota spent, a custom-contract account), the search continues with full rows billed per row and says so in thin_unavailable.
  • "thin": free rows only. Never billed and never escalated to realtime; a spent quota returns a 429.
  • "full": the whole record, billed per row.

Thin lead rows carry id, name, job title, seniority, location and company (name, id, industry, country). Thin company rows carry id, name, industry, headcount range, HQ city and country, company type and founding year. Neither carries a LinkedIn URL, domain, contacts or history: generate_email takes the lead id directly, and enrich_lead / enrich_company return the full record.

Database and realtime

Search and enrich run against the Generect database (sub-second, free counts) or a live LinkedIn lookup (5 to 60 seconds, billed counts, every filter). Tools take mode:

  • auto (default) tries the database first and escalates only if the API says a filter you passed is not supported there. The escalation is reported and is refused above the spend ceiling.
  • database never escalates: an unsupported filter is an error, not a bigger bill.
  • realtime goes live directly. Counting live costs money, so count_* run it only when asked for explicitly.

Filter vocabularies

company_industries and seniorities accept unknown values silently and return zero results, which reads like "this audience does not exist". The server therefore checks values before sending anything: unknown industries, headcount buckets and company types are refused locally with the closest valid names, and mis-cased values are corrected. allow_unlisted_values: true overrides the check.

The full vocabularies are exposed as resources:

generect://vocabulary/industriesgenerect://vocabulary/senioritiesgenerect://vocabulary/functions         (realtime only)generect://vocabulary/company-typesgenerect://vocabulary/headcountsgenerect://vocabulary/follower-ranges   (realtime only)generect://account/pricing              your per-operation pricesgenerect://account/balance              balance and month-to-date usage

Prompts

Workflow prompts appear as slash commands in clients that support them: size_an_audience, build_prospect_list, enrich_my_list and spend_report. Each one starts from the free step.

Spend ceiling

A row cap bounds results, not money. Any call whose worst case exceeds MCP_MAX_SPEND_PER_CALL (default $5) is refused with the exact figure and must be repeated with confirm_spend_usd set to at least that amount. start_bulk_job is checked before it submits, because a bulk job reserves its whole cost up front.

Agent skill

Tools let an agent call Generect; the skill teaches it the procedure above.

bash
npx skills add generect/generect_mcp --skill generect-lead-workflows

See skills/README.md.

More

If Generect saves you time, a star on this repository helps other people find it.

License

MIT

來源:README.md,提交 e6e5a5f

工具

21

count_leads

Count matching leads (free)

How many leads match an ICP, and what pulling them would cost at this account's prices. Free: this call never spends credits. It is the only way to size an audience without paying per row, which makes it the first step before search_leads. A realtime count is not free ($0.04 flat at the Tier 0 list price); it runs only when mode:"realtime" is passed explicitly.

輸入參數modestrictkeywordspersonasfunctionsjob_titlelocationscompany_idjob_titlestimeout_msexclude_idsseniorities另有 24 個

count_companies

Count matching companies (free)

How many companies match an ICP, and what pulling them would cost. Free: this call never spends credits. The first step before search_companies. As with count_leads, a realtime count costs $0.04 at the Tier 0 list price and runs only when mode:"realtime" is passed explicitly.

輸入參數modekeywordslocationsheadcountsindustriestimeout_msexclude_idstechnologiescompany_namescompany_typesrevenues_rangesub_industries另有 11 個

get_balance

Balance, usage and your prices (free)

Account balance, month-to-date usage and this account's own per-operation prices. Free: this call never spends credits. balance_usd is the wallet; grants_usd is bonus and plan credit (sign-up bonus, perks, plan allowance), reported apart. Grants are spent first, but only on the operations each one covers: a promo perk or a plan allowance may not pay for API calls, and a perk never pays for phone numbers, so the two figures do not add up to what the account can spend. Useful before a batch of paid work (what the user can afford) and after it (what was spent). These are the account's real rates; prices in tool descriptions are list prices.

輸入參數timeout_msinclude_usageinclude_pricesinclude_transactionsinclude_token_analytics

health

Server and credential health (free)

Liveness check. Free: this call never spends credits. Confirms the MCP server is up, reports its version and (unless disabled) verifies the credential against a free account endpoint. It never touches a paid data endpoint, so it is safe for monitors.

輸入參數timeout_mscheck_credential

preview_leads

Preview leads (cheapest paid look)

A cheap look at the actual people behind a count, before a full search. Billable: about $0.002 per returned row at the Tier 0 list price. Accounts can pay a different rate: get_balance returns this account's prices, and every response reports what was actually spent in cost.amount_charged_usd. Preview rows carry a Generect `id`, so the usual flow is: preview many, pick the few that fit, then enrich_lead or generate_email only on those. By the API contract preview rows are masked (no LinkedIn URL, domain, email or phone); an account that gets more than that cannot rely on it.

輸入參數limitstrictcompactkeywordslimit_bypersonasfunctionsjob_titlelocationsoffset_bycompany_idcount_only另有 29 個

search_leads

Search leads (free thin rows, full rows billed)

Return leads (people) matching an ICP. Free by default while the account has free thin rows left today (a daily quota; detail "thin" guarantees $0). detail "full" is billable: about $0.02 per returned row (0 rows costs $0) at the Tier 0 list price. Accounts can pay a different rate: get_balance returns this account's prices, and every response reports what was actually spent in cost.amount_charged_usd. Realtime, and an automatic escalation to it, are billed per row too. count_leads sizes the audience for free first. Rows never include email or phone; generate_email (which takes the lead id) and find_phone add those for the ids you keep. Ordering is not stable, so pages are fetched by passing the ids you already have in exclude_ids rather than by offset.

輸入參數modelimitdetailoffsetstrictcompactkeywordslimit_bypersonasfunctionsjob_titlelocations另有 31 個

search_companies

Search companies (free thin rows, full rows billed)

Return companies matching an ICP. Free by default while the account has free thin rows left today (a daily quota; detail "thin" guarantees $0). Thin rows carry no domain; enrich_company adds it for the ones you keep. detail "full" is billable: about $0.02 per returned row (0 rows costs $0) at the Tier 0 list price. Accounts can pay a different rate: get_balance returns this account's prices, and every response reports what was actually spent in cost.amount_charged_usd. Realtime is billed per row too. count_companies sizes the result for free first. headcount_range is a snapshot taken when the record was indexed and can lag the company's current size; the filter itself is applied at query time.

輸入參數modelimitdetailoffsetcompactkeywordslimit_bylocationsoffset_byheadcountsindustriestimeout_ms另有 18 個

resolve_profile

Resolve an anonymous LinkedIn link

Reveal who is behind an anonymous LinkedIn profile link. Billable: about $0.0005 per resolved profile (an unresolvable reference is free; duplicates in one batch are billed per row) at the Tier 0 list price. Accounts can pay a different rate: get_balance returns this account's prices, and every response reports what was actually spent in cost.amount_charged_usd. Takes the obfuscated links that Sales Navigator leaves in exports, CRMs and ad platforms (`linkedin.com/in/ACwAA…`), plus Sales Navigator lead URLs, bare profile ids and urns, and returns the real profile URL and identity. `profiles` (up to 50) resolves a batch in one call. The `id` it returns is the identifier enrich_lead, generate_email and find_phone accept, so this is the cheap first step before a full record. Returns identity only (no location, company or work history; enrich_lead has those). The numeric member id is not accepted as input (LinkedIn answers 403 to it); it comes back as `linkedin_id`.

輸入參數idurlcompactprofilestimeout_ms

enrich_lead

Enrich one lead

Full profile for one known person, by Generect id, LinkedIn URL or work email (reverse lookup). Billable: about $0.02 per record found (not-found is refunded) at the Tier 0 list price. Accounts can pay a different rate: get_balance returns this account's prices, and every response reports what was actually spent in cost.amount_charged_usd. Not found costs nothing. The `id` from a search or preview result is the most accurate identifier. start_bulk_job handles many people at once.

輸入參數idmodeemailcompacttimeout_mslinkedin_url

enrich_company

Enrich one company

Full profile for one known company, by Generect id, LinkedIn URL, domain or name. Billable: about $0.02 per record found (not-found is refunded) at the Tier 0 list price. Accounts can pay a different rate: get_balance returns this account's prices, and every response reports what was actually spent in cost.amount_charged_usd. Not found costs nothing. Domain is the most reliable identifier after id; name matching is fuzzy.

輸入參數idmodenamedomaincompacttimeout_mslinkedin_url

get_lead_by_url

Enrich a lead by LinkedIn URL (alias)

Alias of enrich_lead for a LinkedIn profile URL, kept for backwards compatibility. Billable: about $0.02 per record found (not-found is refunded) at the Tier 0 list price. Accounts can pay a different rate: get_balance returns this account's prices, and every response reports what was actually spent in cost.amount_charged_usd. enrich_lead does the same and also accepts a Generect id (the most accurate identifier) or an email for reverse lookup.

輸入參數url必填modepostscompactcommentstimeout_msinexact_companypeople_also_viewed

generate_email

Find a verified work email

Find and verify a work email. Billable: about $0.02 per VALID email found (a miss is free) at the Tier 0 list price. Accounts can pay a different rate: get_balance returns this account's prices, and every response reports what was actually spent in cost.amount_charged_usd. Identifies the person by lead_id (most accurate), LinkedIn URL or first name, last name and domain. `candidates` resolves several people in one call; more than 10 go to an async bulk job instead, which returns a job_id for get_bulk_job.

輸入參數domainlead_idlast_namecandidatesfirst_nametimeout_msmiddle_namelinkedin_url

validate_email

Validate email deliverability

Check deliverability of emails you already have. Billable: about $0.005 per email submitted (every address is billed, whatever the verdict) at the Tier 0 list price. Accounts can pay a different rate: get_balance returns this account's prices, and every response reports what was actually spent in cost.amount_charged_usd. This is the one operation where every submitted address is billed: the verdict is the deliverable. An address generate_email returned as valid is already verified, so validating it again only adds cost.

輸入參數emails必填timeout_ms

find_phone

Find a phone number (most expensive)

Find a phone number for one person. Billable: about $0.4 per phone found (a miss is free) at the Tier 0 list price. Accounts can pay a different rate: get_balance returns this account's prices, and every response reports what was actually spent in cost.amount_charged_usd. The most expensive operation here, roughly 20x an email lookup, so it suits people the user has already qualified rather than a whole list. start_bulk_job takes an approved list.

輸入參數domaincompanylead_idlast_namefirst_nametimeout_mslinkedin_url

start_bulk_job

Submit a bulk job

Submit up to 50 records for asynchronous processing and get a job_id back. Billable at the same per-record rate as the single-record tool, and the whole cost is reserved at submit time: a submitted job keeps running (and charging) even if nobody polls it. Meant for a list the user has approved. get_bulk_job polls it, and a webhook (create_webhook) reports when it finishes.

輸入參數modeitems必填job_type必填timeout_msconfirm_spend_usd

get_bulk_job

Poll a bulk job (free)

Status and results of a bulk job. Free: this call never spends credits. Polling is free (the work was billed at submit time); a few seconds between polls is enough.

輸入參數job_id必填job_type必填timeout_ms

list_webhooks

List webhooks (free)

List the webhook endpoints registered for bulk-job completion events. Free: this call never spends credits.

輸入參數timeout_ms

create_webhook

Create a webhook (free)

Register a URL that receives bulk-job completion events, so scheduled or unattended workflows are notified instead of polling. Each event carries the job's results (emails, phone numbers or records) in its body. Free: this call never spends credits.

輸入參數url必填events必填secrettimeout_ms

update_webhook

Update a webhook (free)

Change the URL, events or signing secret of a registered webhook. Free: this call never spends credits. A new URL changes where completion events, and the results they carry, are delivered; a new event list changes which events are sent.

輸入參數id必填urleventssecrettimeout_ms

delete_webhook

Delete a webhook (free)

Delete a registered webhook; its endpoint stops receiving completion events. Free: this call never spends credits.

輸入參數id必填timeout_ms

test_webhook

Send a test webhook event (free)

Send a test event to a registered webhook endpoint. Free: this call never spends credits.

輸入參數id必填timeout_ms

版本歷史

9
  1. v0.13.1最新Nov 3, 2026
  2. v0.13.0Oct 23, 2026
  3. v0.12.3Oct 19, 2026
  4. v0.12.2Oct 16, 2026
  5. v0.12.1Oct 7, 2026
  6. v0.11.0Oct 7, 2026
  7. v0.10.1Oct 6, 2026
  8. v0.9.0Sep 23, 2026
  9. v0.1.2Sep 16, 2026

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