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mcp-datalust-seq-mcp-dotnet

mcp-datalust-seq-mcp-dotnet

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github.com/cege7480Data & Analytics0Updated 79w ago
Repository

About mcp-datalust-seq-mcp-dotnet

mcp-datalust-seq-mcp-dotnet wraps the Datalust Seq Server API for developers who want to expose Seq through an MCP server. It is built with the MCP SDK for C# and includes unit tests.

Key features

  1. 01Datalust Seq Server API wrapper
  2. 02Built with the MCP SDK for C#
  3. 03Unit test project
  4. 04Docker build instructions

Use cases

  1. 01Making Seq API capabilities available to MCP clients
  2. 02Building and running the server with .NET
  3. 03Running the project’s unit tests
  4. 04Building a Docker image

MCP support

It exposes the Datalust Seq Server API through an MCP server for MCP clients.

#mcp#datalust#seq#dotnet

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "datalust-seq-mcp-dotnet": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "build"
      ]
    }
  }
}
Run commanddocker run -i --rm build

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
ocibuild

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

mcp-datalust-seq-mcp-dotnet

Datalust Seq Server API wrapped as an MCP

Instructions

How to use the MCP in dotnet that wraps the Datalust Seq API

  1. Clone the repository:

    git clone https://github.com/cege7480/mcp-datalust-seq-mcp-dotnet.git
cd mcp-datalust-seq-mcp-dotnet

  2. Build the project:

    dotnet build

  3. Run the MCP server:

    dotnet run --project src/McpDatalustSeq.csproj
How to run the unit tests

  1. Build the test project:

    dotnet build tests/McpDatalustSeq.Tests.csproj

  2. Run the tests:

    dotnet test tests/McpDatalustSeq.Tests.csproj
How to build and publish the Docker container to ghcr.io

  1. Build the Docker image:

    docker build -t ghcr.io/<your-username>/mcp-datalust-seq-mcp-dotnet:latest .

  2. Push the Docker image to ghcr.io:

    docker push ghcr.io/<your-username>/mcp-datalust-seq-mcp-dotnet:latest

References

Comments

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