DataForB2B

DataForB2B is a people and company search API powering live data from public sources across LinkedIn, GitHub, job boards, and web sources.

CommunityOnlineAPI key requiredGlobalFreeRead-only

What it can do

  • Search Natural Language: Search using natural language. The LLM backend interprets your query and generates filters automatically. Examples: - "Software engineers in Paris with 5+ years of experience"
  • Enrich Profile: Enrich a professional profile with detailed data, emails, or GitHub. Supports batch enrichment with comma-separated identifiers. Args: profile_identifier: professional profile identifi
  • Enrich Company: Enrich a company with full data from public sources. Args: company_identifier: company identifier: - universal_name (slug): e.g. "google" - URL: https://linkedin.com/company/google - e

What data it sees

Do you need an account

An API key from the service settings is required

DataForB2B is a people and company search API powering live data from public sources across LinkedIn, GitHub, job boards, and web sources. Search by job title, company size, tech stack, funding stage, hiring signals, or past experience across 60+ filters with verified email enrichment. GDPR and CCPA compliant.

How to connect

How to connect DataForB2B to Claude

The server address to paste into Claude settings:

https://dataforb2b--dataforb2b.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect DataForB2B to ChatGPT

The server address to paste into ChatGPT settings:

https://dataforb2b--dataforb2b.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect DataForB2B to Cursor

The server address to paste into Cursor settings:

https://dataforb2b--dataforb2b.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (4)

Raw names from tools/list. Only developers need these.

search_natural_language Search using natural language. The LLM backend interprets your query and generates filters automatically. Examples: - "Software engineers in Paris with 5+ years of experience" - "AI startups in France that raised Series A" - "Marketing managers at companies with 50-200 employees in the US" Args: query: Natural language search query (min 3 chars). category: "people" or "company". enrich_live: True for fresh live data, False for cached DB data. page: Page number (starting at 1). page_size: Results per page (default 25, max 100).
enrich_profile Enrich a professional profile with detailed data, emails, or GitHub. Supports batch enrichment with comma-separated identifiers. Args: profile_identifier: professional profile identifier. Supports: - URL: https://linkedin.com/in/john-doe - public_id: john-doe - encoded ID: prof_xxx - Batch: "prof_xxx1,prof_xxx2,prof_xxx3" enrich_profile: Get full profile details (default True). enrich_work_email: Find professional/work email. enrich_personal_email: Find personal email. enrich_github: Find GitHub profile.
enrich_company Enrich a company with full data from public sources. Args: company_identifier: company identifier: - universal_name (slug): e.g. "google" - URL: https://linkedin.com/company/google - encoded ID: org_xxx
search_lookalike Find similar people or companies using AI-powered vector similarity. Provide either `profile` (for people) or `company` (for companies), not both. Args: profile: professional profile URL, public_id, or member_identity to find similar people. company: company profile URL or universal_name to find similar companies. country: ISO country code to filter results (e.g. "FR", "US"). location: Location text filter (e.g. "Paris", "San Francisco Bay Area"). enrich_live: True for fresh live data, False for cached DB data. count: Number of results (1-100). offset: Pagination offset.