Professional Network Interaction Abstraction Layer

This component serves as a Model Context Protocol (MCP) conduit designed for seamless integration with the LinkedIn platform, implemented in the C#/.NET ecosystem. It functions as an intermediary, enabling intelligent systems to interact with LinkedIn's feature set using a universally defined communication schema.

✨ Key Capabilities

• Unified interface for LinkedIn professional data access.
• Native adherence to the Model Context Protocol (MCP) specification.
• Support for deployment via containerization technologies (e.g., Docker).
• Built upon the modern, high-performance .NET runtime.

🧩 Dependencies & Setup

• Runtime: Requires .NET 6 or a newer iteration.
• Containerization (Optional): Docker engine is necessary for container-based execution.
• API Access: Credentials from a registered LinkedIn Developer Application are mandatory.

📥 Deployment Instructions

Local Compilation

1. Acquire the source code repository:

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

1. Resolve necessary project packages:

dotnet restore

1. Compile the solution:

dotnet build

Containerized Execution

Execute the build and launch process using Docker:

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

⚙️ Configuration Directives

The operational success of the gateway relies on properly setting the following parameters:

1. Provisioning of required LinkedIn API authorization tokens (via environment variables or configuration files).
2. Specification of the network port binding for the service.
3. Tuning parameters specific to the MCP message handling.

Configuration adjustments should be made within appsettings.json or through corresponding environment variable definitions.

▶️ Operation

To initiate the gateway service locally:

dotnet run --project LinkedinMCPServer

The service will then commence listening for incoming MCP requests on the allocated network endpoint.

📡 Exposed MCP Endpoints

The system exposes the following methods adhering to the MCP standard:

• FindProfessionalOpportunities: Executes sophisticated searches across LinkedIn's job listings.
• Arguments:
  • searchTerms: The text strings to match against job titles and descriptions.
  • geoTargetId: Identifier corresponding to the desired geographic search area.
  • postingWindow: Temporal constraint for when the listing was published (e.g., "lastDay", "lastSevenDays").
  • rankingMetric: Criterion used to order results (e.g., "relevance", "recency").

👐 Community Involvement

We warmly invite external contributions to enhance this project. Please follow these steps:

1. Fork the main repository.
2. Establish a dedicated branch for your enhancement (e.g., git checkout -b feature/new-integration).
3. Commit your modifications (git commit -m 'Implement feature enhancement X').
4. Push your branch to your fork (git push origin feature/new-integration).
5. Submit a formal Pull Request against the primary branch.

⚖️ Licensing

This software is distributed under the terms of the MIT License. Refer to the LICENSE file for comprehensive details.

🙏 Recognition

• The official documentation for the LinkedIn API.
• The foundational Model Context Protocol specification documents.
• The vibrant contributions from the broader .NET development ecosystem.

❓ Assistance

Should you encounter issues or require support, please initiate a new discussion thread (Issue) on the project's GitHub repository.