Signaliz

Name: Signaliz
Author: signaliz

作者：signaliz版本 2.0.1i★ –i在云端运行

注册名称io.github.signaliz/signaliz-mcp

安装

概览

作者提供的说明（英文原文）

B2B lead generation, email verification, company enrichment, and agentic GTM Ops.

PopNx MCP 的三大支柱

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。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i非常新★ –

它能帮你做什么

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。

连接方式: 在云端运行
传输方式: Streamable HTTP
分类: 营销与社交媒体
你需要填写：Authorization

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：1 项中通过 1 项
在作者的服务器上运行：你向它提出的内容会经过他们的服务器。
需要你自己填写： Authorization

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

在云端运行无需安装任何东西，通过互联网连接

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

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 …”。

这个地址需要在请求的 header 中放入密钥，而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。

在终端中运行这条命令

claude mcp add --transport http signaliz https://api.signaliz.com/functions/v1/signaliz-mcp --header 'Authorization: Bearer {signaliz_api_key}'

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "signaliz": {
      "url": "https://api.signaliz.com/functions/v1/signaliz-mcp",
      "headers": {
        "Authorization": "Bearer {signaliz_api_key}"
      }
    }
  }
}

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。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "signaliz": {
      "type": "http",
      "url": "https://api.signaliz.com/functions/v1/signaliz-mcp",
      "headers": {
        "Authorization": "Bearer {signaliz_api_key}"
      }
    }
  }
}

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。

这个地址需要在请求的 header 中放入密钥，而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。

你的选择通过 Cookie 保存在这台设备上，无需账户。

需要你填写的值

Authorization 机密必填 HTTP header
Signaliz API key as a Bearer token. Create one from Settings > Developer > API Access in Signaliz.

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。

它能做什么

我们还没有读取这个服务器的工具列表；我们会轮流检查各个端点。

基础检查i

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8日

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 signaliz 验证，该账户拥有此仓库
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
… 尚未检查
端点有响应
尚未检查；我们会轮流检查各个端点
… 尚未检查
使用 OAuth 登录
尚未检查；我们会轮流检查各个端点
… 尚未检查
工具描述中没有隐藏指令
尚未检查；我们会在检查端点时读取工具列表

与“营销与社交媒体”中的其他服务器比较i

星标数多于此分类中其他 3595 个服务器的 0%
发布到注册中心的时间比此分类中其他 3595 个服务器的 8% 更新
基础检查结果等于或优于此分类中其他 3595 个服务器的 100%

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。

常见问题

Signaliz 安全吗？

它在 1 项适用的基础检查中通过了 1 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。

它需要哪些密钥或代码？

你需要填写：Authorization

它在我的电脑上运行还是在云端？

它在作者的云端运行。通过互联网连接，无需安装，但你发送的内容会经过作者的服务器。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（2.0.1）于6个月前进入注册中心。

哪些应用可以使用它？

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。

有什么可以替代它？

同一分类中有：MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：↓ 每周下载量i★ 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

MCP YouTube Transcript

An MCP server retrieving transcripts of YouTube videos

作者：jkawamoto正在增长★ 49511天前更新

在你的电脑上运行

安装

Google Analytics MCP

GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.

作者：surendranb正在增长↓ 1088/周★ 24411天前更新

在你的电脑上运行

安装

BibiGPT YouTube Video Summarizer

AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.

作者：JimmyLv起步阶段★ 13711天前更新

在云端运行✓ bibigpt.co

安装

作者的 README

打开 README

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。

Signaliz MCP

Signaliz is a B2B data quality, enrichment, and agentic GTM platform for go-to-market teams and AI agents. The Signaliz MCP server gives MCP clients access to 60+ Signaliz API capabilities for verified lead generation, email verification, company enrichment, data-quality pipelines, Ops routines, approvals, ICPs, app actions, and workspace controls.

This repository is the public distribution manifest for Signaliz MCP. It contains registry metadata, indexable tool schemas, and setup instructions for MCP directories and clients. The production server is hosted by Signaliz; this repository does not contain the private server implementation.

Hosted Endpoint

https://api.signaliz.com/functions/v1/signaliz-mcp

Transport: Streamable HTTP

Authentication: Signaliz API key or OAuth, depending on client support.

Quick Start

Create an API key in Signaliz from Settings > Developer > API Access, then connect your MCP client to:

https://api.signaliz.com/functions/v1/signaliz-mcp?api_key=YOUR_API_KEY

Clients that support headers can connect to the base endpoint and send:

Authorization: Bearer YOUR_API_KEY

Clients that support OAuth discovery can use the protected-resource metadata advertised by the server.

Local Stdio Bridge

For clients that prefer local stdio MCP servers, install the npm bridge:

claude mcp add signaliz -e SIGNALIZ_API_KEY=sk_your_key -- npx -y @signaliz/mcp-server

Claude Desktop, Cursor, Windsurf, Cline, and other stdio clients can use:

"mcpServers": { "signaliz": { "command": "npx", "args": ["-y", "@signaliz/mcp-server"], "env": { "SIGNALIZ_API_KEY": "sk_your_key" } } } }

What Signaliz Does

Signaliz exposes tools for:

Finding verified emails for known contacts.
Verifying deliverability for one email or thousands of emails.
Discovering buying signals such as hiring, funding, product launches, partnerships, leadership changes, expansion, acquisitions, awards, regulatory events, and earnings.
Finding B2B professionals, target accounts, local businesses, or outreach-ready leads.
Running custom AI prompts across records with structured output fields.
Calling external APIs through generic HTTP tools.
Uploading lists and running governed Signaliz systems against them.
Creating autonomous Ops Routines that work on a GTM goal over time.
Chaining routines, streaming results, emitting events, and resolving approvals.
Connecting apps, discovering available actions, and executing app actions through Signaliz.
Managing budgets, blocklists, ICPs, campaign books, and durable agent memory.

Every tool accepts output_format, which can be markdown or json. Use json when another agent, script, or workflow needs structured output.

Access Model

Signaliz plans include full API and MCP access, unlimited workspaces, unlimited integrations, audit trail and MCP analytics, BYOK OpenRouter support, and all core platform features. Plans differ by included monthly GTM credits, and additional credits can be purchased for metered provider-backed actions such as email verification, person or company discovery, company signal enrichment, monitoring, custom AI prompts, and Lead Finder.

Signaliz is not positioned as unlimited-volume or all-you-can-use data. The product is designed around accuracy, timing, governed workflows, and transparent GTM credit usage.

Capability Index

The full indexable tool schema lives in tools/tools.json. It is generated from the actual @signaliz/mcp-server@2.0.1 tools/list response so directories can index the same names, descriptions, and input schemas exposed by the npm bridge.

Email, Contact, and Company Enrichment

Tool	What it does
`find_contacts_with_email`	Finds contacts at a company and returns verified work emails.
`find_emails_with_verification`	Finds and verifies one professional email address from a name, company domain, or LinkedIn URL.
`verify_email`	Verifies one email address for deliverability.
`enrich_company_signals`	Researches a company for structured signals and source-backed developments.
`company_intelligence`	Runs AI-powered company research from websites, domains, LinkedIn URLs, and extra URLs.
`execute_primitive`	Runs small synchronous jobs for email verification, email finding, signal enrichment, custom AI prompts, data cleaning, or HTTP requests.
`generic_http_request`	Executes one custom HTTP request with headers, auth, body templates, variables, timeout, and response extraction.
`custom_ai_prompt`	Runs a custom AI prompt over records with model selection, structured output, and optional Signaliz AI Search context.

Batch Jobs

Tool	What it does
`find_and_verify_emails`	Finds and verifies emails for up to 5,000 contacts asynchronously.
`verify_emails`	Verifies up to 5,000 emails asynchronously.
`enrich_company_signals_batch`	Enriches signals for up to 5,000 companies asynchronously.
`batch_http_request`	Executes up to 5,000 HTTP requests asynchronously.
`check_job_status`	Polls async jobs, reports progress, and retrieves paginated results.

Batch tools return a job_id immediately. Poll with check_job_status, or pass callback_url and optional callback_secret on supported batch tools to receive a completion webhook.

Lead and Account Discovery

Tool	What it does
`generate_leads`	Finds B2B professionals with company data and verified emails for outreach-ready lead lists.
`generate_local_leads`	Finds local businesses and verified contact emails from Google Maps-style local search.
`find_people_blitz`	Finds professional profiles without verified emails for research and list building.
`find_companies_blitz`	Finds company records for account discovery, market sizing, and TAM research.

Lists, Systems, and Pipeline Runs

Tool	What it does
`list_capabilities`	Lists available Signaliz capabilities, schemas, categories, and credit costs.
`upload_data`	Uploads inline records, public CSV URLs, Google Sheets URLs, or Google Drive share URLs as workspace lists.
`list_systems`	Lists saved Signaliz automation systems in the workspace.
`get_system`	Gets a saved system's phases, required inputs, and configuration.
`create_system`	Creates a saved automation system from a plain-English description.
`run_system`	Runs a saved system using inline data, a saved list, the latest workspace list, or prior run data.
`get_run`	Gets one system run's status and results.
`list_runs`	Lists recent system runs with status, timing, and summaries.

Ops Routines as Agents

Tool	What it does
`create_routine`	Creates a goal-driven Ops Routine with cadence, policy guardrails, wake events, and output sinks.
`list_routines`	Lists Ops Routines by status.
`get_routine`	Gets full routine details, policy, sinks, recent ticks, and outcomes.
`update_routine`	Updates routine name, goal, cadence, status, policy, sinks, or wake events.
`run_routine_now`	Triggers an Ops Routine immediately with an optional one-off instruction.
`delete_routine`	Soft-archives or permanently deletes a routine after confirmation.
`get_routine_ticks`	Lists historical routine ticks with status, record counts, credits, and errors.
`get_tick_items`	Fetches records produced by a specific tick.
`get_last_tick_items`	Fetches records from the latest successful tick.
`get_routine_results`	Agent-friendly helper that combines routine metadata with latest produced items.
`agent_workflow`	Creates, activates, triggers, optionally waits for, and optionally cleans up a one-shot Ops Routine.
`stream_routine_results`	Returns an SSE endpoint for real-time item events from a running routine tick.
`chain_routines`	Chains two routines so upstream output feeds downstream seed items.
`get_chain_status`	Shows chained routine execution status and per-stage item counts.
`emit_event`	Emits an event that can wake routines subscribed through `wake_on_events`.

Approvals and Feedback

Tool	What it does
`approvals_list`	Lists pending, approved, or rejected human-in-the-loop approvals.
`approvals_decide`	Approves or rejects one or more pending approval tokens.
`set_item_feedback`	Stores feedback on a produced lead or item so future routine ticks can improve.

App Connections and Actions

Tool	What it does
`list_connections`	Lists active app connections in the workspace.
`list_available_connectors`	Lists available connectors across CRM, marketing, communication, productivity, analytics, development, support, finance, HR, ecommerce, email, and sales.
`list_connectors`	Legacy alias for available connector listing.
`connect_app`	Starts the app connection flow and returns authentication instructions.
`discover_actions`	Lists available entities and actions for a connected app.
`execute_connection_action`	Executes read or write actions against a connected app.
`list_connection_audit_log`	Shows connection lifecycle events, tests, and errors for debugging.

GTM Books and ICPs

Tool	What it does
`quickstart_gtm_book`	Launches a coordinated GTM Campaign Book made of multiple Ops Routines.
`list_books`	Lists GTM Campaign Books in the workspace.
`book_roll_up`	Gets aggregate performance metrics across a campaign book.
`list_icps`	Lists Ideal Customer Profiles and optional Octave import context.
`get_icp`	Gets full ICP details, criteria, pain points, triggers, titles, departments, geography, and related playbook data.
`import_icps_from_octave`	Imports Octave playbooks as Signaliz ICPs.

Workspace Controls

Tool	What it does
`budget_get_status`	Gets current credit balance, spend rate, limits, and projected runway.
`budget_set_limit`	Sets daily, monthly, or system-specific credit limits and alert thresholds.
`manage_blocklist`	Adds, removes, or lists suppressed domains and emails.
`write_agent_memory`	Stores durable agent memory for future sessions.
`query_agent_memory`	Searches stored agent memories with semantic retrieval.
`list_output_sinks`	Deprecated compatibility tool; Signaliz now returns JSON, CSV artifacts, and webhooks.

Registry Metadata

Official MCP Registry manifest: server.json
Smithery URL-publish config schema: smithery.config-schema.json
Glama ownership metadata: glama.json
OAuth details: docs/authentication.md

Safety Notes

Read-only enrichment and discovery tools do not mutate your external systems. Tools that upload data, create or run systems, connect apps, execute app actions, update blocklists, approve work, or delete routines can change Signaliz workspace resources or connected systems and should be used with your normal approval controls.