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Sales Intelligence MCP Server

answering

Sales Intelligence MCP is answering right now. Last checked 15 min ago. It exposes 10 tools.

B2B sales intelligence — company emails, enrichment, lead lists, hiring & funding signals.

Uptime history 47 days of history
47 days agonow
100.0%
Uptime 24h
91 of 91 checks
10
Tools
read from the server
68 ms
Response time
average over 24h
open, no key
Access
streamable-http

Nothing serious here today

Today is the operative word: we check Sales Intelligence MCP every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 15 min ago.

run in your terminal
claude mcp add sales-intelligence-mcp --transport http https://nexgendata-mcp-proxy.steve-corbeil.workers.dev/sales-intelligence-mcp/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "sales-intelligence-mcp": {
      "url": "https://nexgendata-mcp-proxy.steve-corbeil.workers.dev/sales-intelligence-mcp/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.sales-intelligence-mcp]
url = "https://nexgendata-mcp-proxy.steve-corbeil.workers.dev/sales-intelligence-mcp/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "sales-intelligence-mcp": {
      "url": "https://nexgendata-mcp-proxy.steve-corbeil.workers.dev/sales-intelligence-mcp/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "sales-intelligence-mcp": {
      "url": "https://nexgendata-mcp-proxy.steve-corbeil.workers.dev/sales-intelligence-mcp/mcp"
    }
  }
}

Available tools 10

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

detect
detect_hiring_signal
Detect hiring-momentum signals for a list of companies. Aggregates open-role counts, growth-related keywords (Series A/B/C, scaling, expansion), and trend indicators from job boards. Wraps `nexgendata/hiring-signal-detector`. Useful for sales prospecting ("which of my target accounts are hiring right now?") and funding signals ("companies scaling engineering = recently funded"). Args: company_slugs: List of company slugs / names (e.g. ["stripe", "notion"]).
detect_tech_stack
Detect the technology stack used by a website (frameworks, CMS, analytics, payment, hosting, security, marketing tools). Wraps `nexgendata/wappalyzer-replacement`. Drop-in replacement for the discontinued Wappalyzer API — returns categorized technology detections with version + confidence info. Args: domain: Domain or full URL (e.g. "stripe.com" or "https://stripe.com").
enrich
enrich_company
Enrich a single company with domain, description, industry, employee band, social profiles, and (where available) email patterns. Wraps `nexgendata/company-enrichment-tool`. Accepts either a free-form company name ("Stripe") or a domain ("stripe.com"). Args: domain_or_name: Company name or domain.
enrich_lead_list
Bulk-enrich a list of company domains with emails, contact pages, social profiles, and (where available) phone numbers. Wraps `nexgendata/lead-list-enricher`. Best used after `find_b2b_leads` to add contact-tier data to a freshly built lead list. Up to ~50 domains per call recommended for response-time reasons. Args: domains: List of company domains (e.g. ["stripe.com","airbnb.com"]).
aggregate
aggregate_company_profile
Build a full company profile by aggregating across multiple public sources: homepage, /about, /careers, JSON-LD schema, plus Crunchbase free-tier funding scrape when `include_funding=True`. Wraps `nexgendata/company-data-aggregator`. The richest of the company-research tools — use this when you want one record covering industry, HQ, founded date, employee band, key people, social handles, and funding history. Args: name_or_domain: Company name (e.g. "Stripe") or domain. include_funding: Include Crunchbase + news-based funding lookup.
b2b
find_b2b_leads
Find B2B sales leads matching an industry / geography / size filter. Wraps `nexgendata/b2b-leads-finder`. Returns company-level leads with names, domains, and (where available) job-title contacts that match a Marketing Manager / sales-decision-maker profile. Use `enrich_lead_list` afterwards to add contact info. Args: industry: Industry vertical (e.g. "fintech", "SaaS", "healthcare"). country: Optional country / region filter (e.g. "Singapore", "USA"). employee_band: Optional LinkedIn-style size band ("11-50", "51-200", "201-500", "501-1000", "1001-5000", "5001+"). limit: Max leads to return (1-500, default 50).
companies
find_yc_companies
Find Y Combinator companies, optionally filtered by batch (e.g. "W26", "S25") or status ("Active", "Acquired", "Public"). Wraps `nexgendata/yc-companies-directory-scraper`. Returns the YC directory entries (company name, batch, description, website, industries, location, status). Args: batch: Batch code such as "W26", "S25", "F24". stage: Status filter, e.g. "Active", "Acquired", "Public".
company
find_company_emails
Find publicly available business email addresses for a company domain. Wraps `nexgendata/company-email-finder`. Returns probable role-based emails (info@, sales@, support@, etc.) plus any verified contacts discovered by crawling the homepage and common contact pages. Args: domain: Company domain (e.g. "stripe.com" — with or without scheme)
linkedin
search_linkedin_jobs
Search LinkedIn for public job postings matching a query. Wraps `nexgendata/linkedin-jobs-scraper`. Returns job title, company, location, posted date, and description. Posted-within filter is a soft hint applied client-side via the LinkedIn search UI. Args: query: Free-text job query (e.g. "senior python developer"). location: Optional location (e.g. "Berlin", "Remote"). posted_within_days: Soft recency filter (default 14, max 90).
track
track_startup_funding
Track recent startup funding announcements filtered by stage and sector. Wraps `nexgendata/startup-funding-tracker`. Returns recent rounds (Crunchbase News + TechCrunch + sector press) including company, amount, round type, investors, and date. Args: stage: Optional stage filter ("seed", "series a", "series b", ...). sector: Optional sector / industry filter ("ai", "fintech", ...). days_back: Look-back window in days (default 30, max ~180).

Endpoints

URLTransportStateLatencyChecked
https://nexgendata-mcp-proxy.steve-corbeil.workers.dev/sales-intelligence-mcp/mcp streamable-http answering 65 ms 15 min ago

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Sales Intelligence MCP — questions

Answers built from our own checks of this server.

What can Sales Intelligence MCP do?
It exposes 10 tools, read directly from the server on our last check. Among them: aggregate_company_profile, detect_hiring_signal, detect_tech_stack, enrich_company, enrich_lead_list, find_b2b_leads and 4 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
What is Sales Intelligence MCP mostly used for?
Its tools cluster around detect and enrich. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.
Is Sales Intelligence MCP working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 68 ms. The bar chart above shows every period we have measured.
How do I connect Sales Intelligence MCP?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Sales Intelligence MCP need an API key?
No. Sales Intelligence MCP completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 10 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Sales Intelligence MCP?
It answers our handshake in 68 ms on average, which is faster than 86% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.