LinkedIn Interaction Conduit (LIC)

A Model Context Protocol (MCP) service implementation tailored for LinkedIn connectivity, engineered using the .NET framework. This conduit acts as an intermediary layer enabling sophisticated AI constructs to interface programmatically with LinkedIn's expansive feature set through a predetermined, unified specification.

🚀 Core Capabilities

• Seamless interface for querying LinkedIn employment listings
• Adherence to the specified MCP communication standard
• Native support for deployment via Docker containers
• Built upon the robust .NET Core runtime

📋 Essential Prerequisites

• A functional installation of .NET 6.0 or newer
• Docker Engine (optional, for containerized execution environments)
• Valid accreditation for accessing the LinkedIn Developer Program APIs

🛠️ Deployment Procedures

Local Machine Setup

1. Obtain the source code repository:

git clone https://github.com/envykernel/LinkedinMCPServer.git
cd LinkedinMCPServer

1. Fetch necessary component packages:

dotnet restore

1. Compile the solution artifacts:

dotnet build

Containerized Orchestration

Construct and initiate the service using Docker:

docker build -t linkedin-mcp-server .
docker run -p 5000:80 linkedin-mcp-server

⚙️ Configuration Directives

The gateway necessitates configuration across several domains:

1. Essential API access secrets for LinkedIn (must be provisioned via environment variables or configuration files)
2. Network endpoint definitions and port allocation
3. Parameters governing the MCP communication handshake

Define these settings either in a dedicated appsettings.json file or through corresponding environment variable settings.

🚦 Operational Invocation

Start the service instance locally:

dotnet run --project LinkedinMCPServer

The conduit will initialize and await incoming requests conforming to the MCP structure on the designated port.

📝 Service Endpoint Reference

The LIC exposes the following standardized MCP functions:

• SearchJobs: Executes a query against LinkedIn's job database
• Required Arguments:
  • keywords: Text strings to match against role titles and descriptions
  • locationId: Numerical identifier specifying the geographical search scope
  • datePosted: Temporal constraint for listing freshness (e.g., anyTime, past24Hours)
  • sort: Metric for result ordering (e.g., mostRelevant, mostRecent)

🤝 Community Contribution Guide

We welcome external enhancements! Feel empowered to submit a Merge Request.

1. Fork the originating repository
2. Establish a new feature branch (e.g., git checkout -b feature/NewFunctionality)
3. Commit modifications (git commit -m 'Implement crucial enhancement')
4. Push changes to your fork (git push origin feature/NewFunctionality)
5. Propose the changes via a Pull Request

📄 Licensing Information

This software is distributed under the permissive MIT License. Refer to the accompanying [LICENSE] file for comprehensive details.

🙏 Acknowledgements

• Official LinkedIn API Documentation Portal
• Model Context Protocol Specification Document
• Contributions from the thriving .NET Ecosystem

📞 Support Channels

For technical assistance, please initiate a new 'Issue' within the GitHub repository or contact the lead maintainers directly.

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Developed with dedication by envykernel