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Linkd

This MCP server provides comprehensive LinkedIn data extraction and research capabilities through integration with the Linkd API service. Built with TypeScript and Express, it offers eight specialized tools for LinkedIn operations including user and company search, profile enrichment, contact information retrieval, detailed profile scraping, and advanced deep research workflows that combine multiple search variations with email enrichment. The implementation supports both stdio and SSE transport protocols, handles credit-based API operations (1-2 credits per request), and includes features like job status monitoring for long-running research tasks, making it valuable for sales prospecting, recruitment, market research, and competitive intelligence workflows that require systematic LinkedIn data gathering.

Cognium trust score

90%

Tier

Scanned

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.

Scan details: Circle-IR · 2026-09-28 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: communication
Source: PulseMCP
Repository: github.com/automcp-app/linkd-mcp
Author type: human
Last scanned: 2026-09-28
Updated: 2026-09-28

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MCP

Resolve Linkd from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"