MCP (Model Context Protocol) Server

@DrFloflo

About MCP (Model Context Protocol) Server

Omni MCP protocol, chose the right tools for you.

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

Config

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

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

Tools

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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

FAQ from MCP (Model Context Protocol) Server

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.

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.

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.

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.

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.

Frequently asked questions

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.

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.

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.

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.

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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