artigence-linkedin-mcp

Purpose: Providing AI assistants with secure, user-authenticated access to LinkedIn profiles and job data.

Inferred · not functionally tested

Audience: developers

Inferred · not functionally tested

Functions: data_extraction

Inferred · not functionally tested

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

Recorded constraints: pricing: open_source · license: Apache-2.0 · platforms: CLI · deployment: cli

Constraint provenance is unknown; confirm requirements with the publisher.

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

artigence-linkedin-mcp sits in PulseGate's Frameworks & SDKs category. Inferred · not functionally tested: It focuses on providing AI assistants with secure, user-authenticated access to LinkedIn profiles and job data. Inferred · not functionally tested: artigence-linkedin-mcp is an open-source project aimed at developers. Basis unknown · not verified: artigence-linkedin-mcp is open source under the Apache-2.0 license. Basis unknown · not verified: It runs on the command line.

Behind artigence-linkedin-mcp is Artigence Healthcare Systems, and it first shipped in 2025. Development happens publicly on GitHub with 203 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include LinkedIn Access, Browser Session Integration, and AI Assistant Support. Basis unknown · not verified: Catalogued interfaces include an MCP server.

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