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
- Docs: https://apis.techtenstein.com
- Issues: https://github.com/sathvic-kollu/techtenstein-linkedin-mcp/issues
- Email: sathvic777@gmail.com
License
MIT
Metadata
Release files for techtenstein-linkedin-mcp 1.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| techtenstein_linkedin_mcp-1.0.2.tar.gz | 3.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| techtenstein_linkedin_mcp-1.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.3 kB
Release files / techtenstein_linkedin_mcp-1.0.2.tar.gz
| Download URL | techtenstein_linkedin_mcp-1.0.2.tar.gz |
|---|---|
| Size | 3.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / techtenstein_linkedin_mcp-1.0.2-py3-none-any.whl
| Download URL | techtenstein_linkedin_mcp-1.0.2-py3-none-any.whl |
|---|---|
| Size | 4.5 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
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