{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_7k8wrnm6bpg9","handle":"iflow-mcp-mcp-linkedin-server","url":"https://wellknown.network/agents/iflow-mcp-mcp-linkedin-server","links":{"self":"https://wellknown.network/agents/iflow-mcp-mcp-linkedin-server/record.json","html":"https://wellknown.network/agents/iflow-mcp-mcp-linkedin-server","markdown":"https://wellknown.network/agents/iflow-mcp-mcp-linkedin-server/record.md","api":"https://wellknown.network/api/v1/agents/iflow-mcp-mcp-linkedin-server","status":"https://wellknown.network/api/v1/agents/iflow-mcp-mcp-linkedin-server/status","claim":"https://wellknown.network/agents/iflow-mcp-mcp-linkedin-server/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/iflow-mcp-mcp-linkedin-server/claim.json","badge":"https://wellknown.network/agents/iflow-mcp-mcp-linkedin-server/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/iflow-mcp-mcp-linkedin-server/history","tools":"https://wellknown.network/api/v1/agents/iflow-mcp-mcp-linkedin-server/tools"},"ard":{"identifier":"urn:air::server:iflow-mcp-mcp-linkedin-server","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"iflow-mcp_mcp-linkedin-server","summary":"A FastMCP-based server for LinkedIn automation and data extraction using browser automation","description":"# LinkedIn Browser MCP Server\n\nA FastMCP-based server for LinkedIn automation and data extraction using browser automation. This server provides a set of tools for interacting with LinkedIn programmatically while respecting LinkedIn's terms of service and rate limits.\n\n## Features\n\n- **Secure Authentication**\n  - Environment-based credential management\n  - Session persistence with encrypted cookie storage\n  - Rate limiting protection\n  - Automatic session recovery\n\n- **Profile Operations**\n  - View and extract profile information\n  - Search for profiles based on keywords\n  - Browse LinkedIn feed\n  - Profile visiting capabilities\n\n- **Post Interactions**\n  - Like posts\n  - Comment on posts\n  - Read post content and engagement metrics\n\n## Prerequisites\n\n- Python 3.8+\n- Playwright\n- FastMCP library\n- LinkedIn account\n\n## Installation\n\n1. Clone the repository:\n```bash\ngit clone [repository-url]\ncd mcp-linkedin-server\n```\n\n2. Create and activate a virtual environment:\n```bash\npython -m venv env\nsource env/bin/activate  # On Windows: env\\Scripts\\activate\n```\n\n3. Install dependencies:\n```bash\npip install -r requirements.txt\nplaywright install chromium\n```\n\n4. Set up environment variables:\nCreate a `.env` file in the root directory with:\n```env\nLINKEDIN_USERNAME=your_email@example.com\nLINKEDIN_PASSWORD=your_password\nCOOKIE_ENCRYPTION_KEY=your_encryption_key  # Optional: will be auto-generated if not provided\n```\n\n## Usage\n\n1. Start the MCP server:\n```bash\npython linkedin_browser_mcp.py\n```\n\n2. Available Tools:\n\n- `login_linkedin_secure`: Securely log in using environment credentials\n- `browse_linkedin_feed`: Browse and extract posts from feed\n- `search_linkedin_profiles`: Search for profiles matching criteria\n- `view_linkedin_profile`: View and extract data from specific profiles\n- `interact_with_linkedin_post`: Like, comment, or read posts\n\n### Example Usage\n\n```python\nfrom fastmcp import FastMCP\n\n# Initialize client\nclient = FastMCP.connect(\"http://localhost:8000\")\n\n# Lo…","publisher":null,"homepage":"https://github.com/iflow-mcp/mcp-linkedin-server","repository":"https://github.com/iflow-mcp/mcp-linkedin-server","version":"1.0.0","license":"MIT","protocols":["mcp"],"tags":["mcp"],"pricing":null,"endpoints":[{"url":"pypi:iflow-mcp_mcp-linkedin-server","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","license":"pypi","repoUrl":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"pypi"}},"derived":{"capabilities":[{"slug":"content.social","name":"Social Media","confidence":1,"provenance":"derived"},{"slug":"infra.browser-automation","name":"Browser Automation","confidence":1,"provenance":"derived"},{"slug":"dev.version-control","name":"Version Control","confidence":0.791,"provenance":"derived"}],"categories":["content","dev","infra"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"iflow-mcp_mcp-linkedin-server","registry":"pypi","observedAt":"2026-09-15T19:23:07.258Z","publishedAt":"2025-11-20T03:06:30.655631Z","latestVersion":"1.0.0"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"iflow-mcp_mcp-linkedin-server","url":"https://pypi.org/project/iflow-mcp_mcp-linkedin-server/","firstSeenAt":"2026-09-09T20:23:28.034Z","fetchedAt":"2026-09-15T19:21:03.715Z","normalizedAt":"2026-09-15T19:21:03.715Z"}]},"firstSeenAt":"2026-09-09T20:23:28.034Z","updatedAt":"2026-09-15T19:23:07.258Z"}