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MCP (MCP) Server

@DrFloflo

Repository

Basic information

Category

Other

Transports

stdio

Author

DrFloflo

About MCP (MCP) Server

Omni MCP protocol, chose the right tools for you.

#mcp#model-context-protocol#server#integration

MCP (MCP) Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "MCPo-Server": {
      "command": "python",
      "args": [
        "server.py"
      ]
    }
  }
}

MCP (MCP) Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is MCP (Model Context Protocol) Server?

This server provides a unified interface for interacting with multiple services including GitHub, Azure Log Analytics, Google, Azure OpenAI, Azure Vision, and PostgreSQL. It is designed for developers who need a single MCP endpoint to access diverse APIs and data sources.

How to use MCP (Model Context Protocol) Server?

Install dependencies via pip install -r requirements.txt, create a .env file with required tokens (GitHub PAT, Azure credentials, etc.), then run python server.py. The server starts on http://0.0.0.0:6277 by default. Docker is also supported: build with docker build -t mcp-server . and run with docker run -p 6277:6277 --env-file .env mcp-server.

Key features of MCP (Model Context Protocol) Server

  • Retrieve files and directory listings from GitHub repositories
  • Monitor GitHub workflow runs and code search
  • Run Kusto Query Language (KQL) queries on Azure Log Analytics
  • Read PostgreSQL databases with read-only user support
  • Search Google and YouTube, get YouTube video transcripts
  • Analyze images via Azure Vision and generate responses via Azure OpenAI

Use cases of MCP (Model Context Protocol) Server

  • Search code across GitHub repositories and inspect commit diffs
  • Query Azure Log Analytics for operational insights or security logs
  • Get structured content from websites in Markdown format
  • Retrieve YouTube video transcripts for analysis or summarization
  • Execute read-only queries on PostgreSQL databases

Frequently asked questions

1

What prerequisites are needed?

Python 3.8+, optional Docker, and service-specific tokens: GitHub PAT (`repo` scope), Azure AD client ID/secret/tenant, Azure OpenAI key/endpoint, Azure Vision key/endpoint, and PostgreSQL credentials.

2

How do I set up tokens?

Create a `.env` file with the required variables as described in the README (e.g., `GITHUB_TOKEN`, `AZURE_CLIENT_ID`, etc.). Each service’s token setup is detailed in the respective section.

3

Can I run the server in Docker?

Yes. Build the Docker image with `docker build -t mcp-server .` and run it with `docker run -p 6277:6277 --env-file .env mcp-server`. Ensure your `.env` file is present.

4

Does the PostgreSQL access allow write operations?

No. The recommended practice is to use a database user with `SELECT`-only privileges. The `read_db` tool is designed for read-only queries.

5

What transports or authentication does the server use?

The server listens on HTTP (`0.0.0.0:6277`). Authentication for each external service is handled via tokens/credentials stored in the `.env` file; no additional transport-level security is described.

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