rezvan-linkedin-mcp

Purpose: Automating the extraction of LinkedIn profile, company, and job data with AI-powered processing.

Inferred · not functionally tested

Audience: developers building LinkedIn data tools

Inferred · not functionally tested

Functions: data_extraction, agents

Inferred · not functionally tested

Interfaces: API: indicated (inferred, not tested) · MCP: indicated (inferred, not tested) · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: Apache-2.0 · platforms: CLI · deployment: browser, cli, api_only, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: github.com. These links do not verify the individual claims.

In the Frameworks & runtimes space, rezvan-linkedin-mcp takes a focused approach. Inferred · not functionally tested: It focuses on automating the extraction of LinkedIn profile, company, and job data with AI-powered processing. Inferred · not functionally tested: rezvan-linkedin-mcp is an open-source project aimed at developers building LinkedIn data tools. Basis unknown · not verified: rezvan-linkedin-mcp is open source under the Apache-2.0 license. Basis unknown · not verified: It ships for the web, the command line, and API, and it can be self-hosted.

Behind rezvan-linkedin-mcp is stickerdaniel, and it first shipped in 2025. Development happens publicly on GitHub with 2.5k stars and 324 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include linkedIn scraping, MCP protocol, and Claude AI integration. Inferred · not functionally tested: Catalogued interfaces include an MCP server and a public API.

Summary written by a language model from the project’s public pages.