Linkd MCP Server
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Linkd MCP Server search for software engineers at Google in San Francisco"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Linkd MCP Server
This is an unofficial Model Context Protocol (MCP) Server for Linkd..
More information about automcp can be found at automcp.app.
For detailed API documentation and usage examples, visit the official Linkd documentation.
More information about the Model Context Protocol can be found here.
Table of Contents
Related MCP server: Proxycurl MCP Server
Installation
Manual Installation
To install the server, run:
npx linkd-mcp <YOUR-LINKD-API-KEY>Running on Cursor
Add to ~/.cursor/mcp.json like this:
{
"mcpServers": {
"linkd": {
"command": "npx",
"args": ["-y", "linkd-mcp"],
"env": {
"LINKD_API_KEY": "YOUR-API-KEY"
}
}
}
}Running on Windsurf
Add to your ./codeium/windsurf/model_config.json like this:
{
"mcpServers": {
"linkd": {
"command": "npx",
"args": ["-y", "linkd-mcp"],
"env": {
"LINKD_API_KEY": "YOUR-API-KEY"
}
}
}
}Claude Desktop app
This is an example config for the Linkd MCP server for the Claude Desktop client.
{
"mcpServers": {
"linkd": {
"command": "npx",
"args": ["--yes", "linkd-mcp"],
"env": {
"LINKD_API_KEY": "your-api-key"
}
}
}
}Tools
search_for_users- Search for LinkedIn users with filters like query, school, and match thresholdsearch_for_companies- Search for companies on Linkd using filters like query and match thresholdenrich_linkedin- Retrieves detailed profile information for a specific LinkedIn URL (1 credit per lookup)retrieve_contacts- Retrieves email addresses and phone numbers for a LinkedIn profile (1 credit per lookup)scrape_linkedin- Retrieves detailed profile data and posts with comments from a LinkedIn profile URL (2 credits per request)research_profile- Research a profile using email or phone numberinitiate_deep_research- Start a deep research job for comprehensive LinkedIn data gatheringcheck_deep_research_status- Check the status of an ongoing deep research job
License
This project is licensed under the MIT License.
Available Tools
7 toolscheck_deep_research_statusC
Check the status of an ongoing deep research job.
Inputs: job_id (required).
enrich_linkedinA
Retrieves detailed profile information for a specific LinkedIn URL. Each successful lookup costs 1 credit.
Inputs: url (required).
initiate_deep_researchB
Initiate a deep research job that combines multiple search variations with optional email enrichment. Each result costs 1 credit.
Inputs: query (required), limit, school, enrich_emails, +1 more.
retrieve_contactsA
Retrieves email addresses and phone numbers for a LinkedIn profile. Each lookup costs 1 credit.
Inputs: linkedin_url (required).
scrape_linkedinA
Retrieves detailed profile data and posts with comments from a LinkedIn profile URL using RapidAPI. Each request costs 2 credits.
Inputs: linkedin_url (required).
search_for_companiesC
Search for companies on Linkd using filters like query and match threshold.
Inputs: query (required), limit, acceptance_threshold.
search_for_usersC
Search for users on Linkd using filters like query, school, and match threshold.
Inputs: query (required), limit, school, acceptance_threshold.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 7 tools
Most tools have distinct purposes, but 'enrich_linkedin' and 'scrape_linkedin' could be confused as both retrieve detailed profile information. The descriptions clarify that 'scrape_linkedin' includes posts and comments, while 'enrich_linkedin' is more basic, but the overlap in core functionality might cause misselection.
Tool names follow a consistent snake_case pattern with clear verb_noun structures, such as 'check_deep_research_status' and 'search_for_users'. Minor deviations exist, like 'enrich_linkedin' using a verb without an explicit object, but overall the naming is predictable and readable.
With 7 tools, the count is well-scoped for a LinkedIn-focused server, covering key operations like profile retrieval, research, and searches. Each tool appears to earn its place without being excessive or insufficient for the domain.
The toolset provides good coverage for LinkedIn operations, including profile enrichment, contact retrieval, and searches for users and companies. Minor gaps exist, such as no explicit update or delete tools, but these are less critical in a data retrieval context, and agents can likely work around them.
Maintenance
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