Context7
Up-to-date docs for AI agents
作者提供的说明(英文原文)
B2B lead and company data for AI agents: free search, pay only for emails, phones, profiles.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
GENERECT_API_KEY, GENERECT_API_BASE标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
适用于网页版、桌面版和手机版 Claude:
https://mcp.generect.com/mcp打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"generect": {
"command": "npx",
"args": [
"-y",
"generect-ultimate-mcp"
],
"env": {
"GENERECT_API_KEY": "your-value",
"GENERECT_API_BASE": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add --transport http generect https://mcp.generect.com/mcpclaude mcp add generect --env GENERECT_API_KEY=your-value --env GENERECT_API_BASE=your-value -- npx -y generect-ultimate-mcp运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"generect": {
"url": "https://mcp.generect.com/mcp"
}
}
}粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"generect": {
"command": "npx",
"args": [
"-y",
"generect-ultimate-mcp"
],
"env": {
"GENERECT_API_KEY": "your-value",
"GENERECT_API_BASE": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"generect": {
"type": "http",
"url": "https://mcp.generect.com/mcp"
}
}
}粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"generect": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"generect-ultimate-mcp"
],
"env": {
"GENERECT_API_KEY": "your-value",
"GENERECT_API_BASE": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
ChatGPT 只能连接互联网上的服务器:
https://mcp.generect.com/mcp菜单名称可能因套餐和版本不同而略有差异。
你的选择通过 Cookie 保存在这台设备上,无需账户。
GENERECT_API_BASE env这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
服务器要求先登录,才会列出它的工具。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册名称已通过域名 generect.com 验证(注册中心会核实域名所有权)
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
在 186 毫秒内响应(HTTP 401)
声明支持 OAuth 登录,你的 AI 应用可以带你去登录
尚未检查;我们会在检查端点时读取工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 3 项适用的基础检查中通过了 3 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
你需要填写:GENERECT_API_KEY
两种方式都可以:安装在你的电脑上,或者连接云端版本。
GitHub 仓库最后更新于–,最新版本(0.13.1)于5天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
同一分类中有:Context7, Codebase Memory, Exa
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Up-to-date docs for AI agents
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
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.
Give Claude, ChatGPT, Cursor or your own agent access to the Generect B2B database: people and companies by ICP, emails, phones and full profiles.
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.Get an API key at app.generect.com/settings/api. Clients that support OAuth sign you in without one.
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
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:
{
"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:
{
"mcpServers": { "generect": { "command": "npx", "args": ["-y", "mcp-remote", "https://mcp.generect.com/mcp", "--header", "Authorization: Bearer YOUR_API_KEY"] } } }
{
"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.
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.
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.
| Tool | What you see |
|---|---|
count_leads, count_companies | The audience size, your filters, what the next step costs at your prices, and a button to see the first 25 |
search_leads, preview_leads | The 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_companies | Company cards and a table, with a one-click ask for decision makers at them |
enrich_lead, get_lead_by_url, enrich_company | A profile card with the experience timeline and a find-email button |
get_balance | Balance, this month's spend and your per-operation prices |
generate_email | Which 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.
Free
| Tool | What it does |
|---|---|
count_leads | How many people match an ICP, and what the next step costs at your rates. Start here. |
count_companies | The same for companies. |
search_leads | People matching an ICP. Free with the default thin rows (database mode, daily quota). |
search_companies | Companies matching an ICP. Free with the default thin rows (database mode, daily quota). |
get_balance | Balance, your real per-operation prices, and optionally spend by operation or by token. |
get_bulk_job | Poll a bulk job (the work was billed at submit time). |
list_webhooks, create_webhook, update_webhook, delete_webhook, test_webhook | Manage the webhook endpoints that receive bulk-job completion events. |
health | Liveness and credential check against a free endpoint. Safe for monitors. |
Billable
| Tool | Billed |
|---|---|
search_leads, search_companies with detail: "full", in realtime mode and once the free quota is used up | per returned row |
preview_leads | per returned row (count_only: true is free) |
resolve_profile | per resolved profile, the cheapest paid call; an unresolvable link is free |
enrich_lead, get_lead_by_url | per record found |
enrich_company | per record found |
generate_email | per valid email found |
validate_email | per email submitted, whatever the verdict |
find_phone | per phone found, the most expensive operation |
start_bulk_job | per 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.
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
search_leads and search_companies take detail:
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.
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.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/industries
generect://vocabulary/seniorities generect://vocabulary/functions (realtime only) generect://vocabulary/company-types generect://vocabulary/headcounts generect://vocabulary/follower-ranges (realtime only) generect://account/pricing your per-operation prices generect://account/balance balance and month-to-date usage
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.
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.
Tools let an agent call Generect; the skill teaches it the procedure above.
npx skills add generect/generect_mcp --skill generect-lead-workflows
See skills/README.md.
If Generect saves you time, a star on this repository helps other people find it.
MIT