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techtenstein-linkedin

techtenstein-linkedin

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github.com/sathvic-kolluBusiness & Marketing0Updated 15w ago

About techtenstein-linkedin

techtenstein-linkedin is an MCP server for enriching LinkedIn profiles and company data, and searching people from Claude, Cline, or Cursor sessions. It is intended for sales prospecting, recruiting, and account research.

Key features

  1. 01Enrich profile details
  2. 02Enrich company information
  3. 03Search people by keywords and criteria
  4. 04Filter by location, company, and title

Use cases

  1. 01Identify sales prospects
  2. 02Find candidates matching role criteria
  3. 03Research target companies

MCP support

It exposes profile enrichment, company enrichment, and people-search tools to MCP clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"sathvic-kollu-techtenstein-linkedin": {
"command": "uvx",
"args": [
"techtenstein-linkedin-mcp"
],
"env": {
"TECHTENSTEIN_API_KEY": "<TECHTENSTEIN_API_KEY>"
}
}
}
}
Run commanduvx techtenstein-linkedin-mcp
Environment variables to set
TECHTENSTEIN_API_KEYSecretAPI key from https://apis.techtenstein.com (free tier: 10 lookups/day)

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypitechtenstein-linkedin-mcp1.0.2

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Techtenstein LinkedIn MCP

MCP server that gives your Claude, Cline, or Cursor session the ability to enrich LinkedIn profiles, companies, and prospect searches. Powered by the Techtenstein LinkedIn Enrichment API.

Use it for sales prospecting, recruiter sourcing, account research, or lead-scoring pipelines.

Tools exposed

  • linkedin_profile(profile_url) — Full profile enrichment (experience, education, skills, certifications)
  • linkedin_company(company_url) — Firmographic enrichment (size, industry, HQ, description, updates)
  • linkedin_search_people(keywords, location, company, title, limit) — Filtered people search

Install (Claude Desktop)

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "techtenstein-linkedin": {
      "command": "uvx",
      "args": ["techtenstein-linkedin-mcp"],
      "env": {
        "TECHTENSTEIN_API_KEY": "your_key_from_techtenstein.com"
      }
    }
  }
}

Restart Claude Desktop. All three tools will appear.

Install (Cline / VS Code)

Same config as Claude Desktop.

Install (Cursor)

Add to ~/.cursor/mcp.json:

{
  "mcpServers": {
    "techtenstein-linkedin": {
      "command": "uvx",
      "args": ["techtenstein-linkedin-mcp"],
      "env": {"TECHTENSTEIN_API_KEY": "your_key"}
    }
  }
}

Get an API key

Free tier (10 lookups/day, no card): https://apis.techtenstein.com

Paid tiers start at $25/month for 500 lookups.

Example usage

Prospecting:

"Look up this LinkedIn profile and tell me if they're a good fit for a growth marketing role: https://linkedin.com/in/example"

Account research:

"Enrich this company for me: https://linkedin.com/company/anthropic"

Sourcing:

"Find 20 senior data engineers in Berlin at companies with 50-500 employees."

Claude will call linkedin_search_people(keywords="senior data engineer", location="Berlin", limit=20) and return a shortlist.

Response schemas

Profile
{
  "name": "Jane Doe",
  "headline": "Senior Growth Marketer @ Acme",
  "location": "San Francisco, CA",
  "current_title": "Senior Growth Marketer",
  "current_company": "Acme Corp",
  "experience": [{"title": "...", "company": "...", "duration": "..."}],
  "education": [{"school": "...", "degree": "...", "field": "..."}],
  "skills": ["SEO", "Growth", "Analytics"],
  "certifications": ["Google Analytics"]
}
Company
{
  "name": "Anthropic",
  "industry": "Artificial Intelligence",
  "size_range": "501-1000",
  "employee_count": 620,
  "founded": 2021,
  "hq_city": "San Francisco",
  "hq_country": "United States",
  "website": "https://anthropic.com",
  "description": "..."
}

Support

License

MIT

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