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DataForB2B

DataForB2B MCP Server

Official
by DataForB2B

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
DATAFORB2B_API_KEYYesYour API key for the DataForB2B API.

Capabilities

Features and capabilities supported by this server

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
search_peopleA

Search professional profiles using structured filters.

Use this for any people search: translate the user's intent (e.g. "AI engineers in Berlin who recently raised") into structured filters on specific columns (country, company size range, funding stage, etc.). The available columns and operators are documented on the filters parameter.

Returns paginated profiles matching ALL/ANY filter conditions depending on the op of the FilterGroup.

To find people at a SPECIFIC company you already identified (e.g. via search_company or enrich_company), filter on current_company_id (or past_company_id) with that company's id (e.g. "org_xxx") — NOT current_company (the name), which also matches other companies that happen to share the name and adds noise.

To target people by their COMPANY's business (e.g. "founders of AI sales-agent startups"), qualify the company itself: filter current_company_category (lowercase, holds precise niche values — "artificial intelligence", "sales automation", "saas") and/or current_company_industry, and when no category fits the niche, current_company_keyword (full-text on the employer's name/tagline/description — OR several "=" phrase variants). keyword searches the PERSON's own headline, so it fits attributes of the person themselves; for a company trait it matches unrelated people ("sales agent" → real-estate agents, sales reps).

search_companyA

Search companies using structured filters.

Use this for any company search: translate the user's intent (e.g. "AI startups in France that raised Series A") into structured filters on specific columns (industry, country, employee count range, funding stage, founded year, etc.). The available columns and operators are documented on the filters parameter.

Returns paginated companies matching ALL/ANY filter conditions depending on the op of the FilterGroup.

search_postsA

Search social posts by keyword on LinkedIn, Twitter/X, or Reddit — or target a single post by URL. Great for intent signals: find people talking about a topic, then use include to attach the post's engagers (each reactor / commenter is a lead, with their profile).

Two modes:

  1. Keyword search: set keyword (+ optional filters).

  2. Single post: set post_url (with include to get its engagers).

search_jobsA

Search job postings on LinkedIn or Indeed by keyword, location, and filters (employment type, remote/onsite, seniority, freshness, employer). Useful for hiring signals: which companies are recruiting for what roles, where.

enrich_profileA

Enrich a single professional profile with detailed profile data, work email, personal email, and/or GitHub profile. Each enrichment flag controls one data source and bills separately.

enrich_companyA

Enrich a single company with full data from public sources (description, industry, headquarters, employee count, funding, offices, etc.).

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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