flyer-crawler.projectium.com/notes-to-ai5.txt

What is the correct named pipe address for Podman on Windows if it's not using the default docker_engine pipe?

How do I configure the chrome-devtools-mcp server to connect to an existing Chrome instance using the browser_url input?


Unused Input: The browser_url input is defined but not used in any server arguments. If you intend to connect chrome-devtools-mcp to an existing Chrome instance, you would typically pass that URL in the arguments instead of launching a new headless instance.





Based on your current configuration and project setup (Gitea, Podman, PostgreSQL, Redis), here are several other valuable MCP servers available for VS Code.

Recommended for Your Stack
Since you are running a PostgreSQL and Redis stack via Podman, these servers would be immediately useful:

PostgreSQL (@modelcontextprotocol/server-postgres)

Purpose: Allows the AI to query your database directly (inspect schemas, run SELECT queries) without needing to shell into the container.
Config:
json
"postgres": {
  "command": "npx",
  "args": ["-y", "@modelcontextprotocol/server-postgres", "postgresql://postgres:postgres@localhost:5432/flyer_crawler_dev"]
}



Redis (@modelcontextprotocol/server-redis)

Purpose: Inspect and modify keys in your Redis instance.
Config:
json
"redis": {
  "command": "npx",
  "args": ["-y", "@modelcontextprotocol/server-redis", "redis://localhost:6379"]
}
General Utility Servers
These servers enhance the AI's core capabilities regardless of the specific project:


Memory (@modelcontextprotocol/server-memory)

Purpose: Gives the AI a persistent "knowledge graph" to remember context, user preferences, and project details across different chat sessions.
Config:
json
"memory": {
  "command": "npx",
  "args": ["-y", "@modelcontextprotocol/server-memory"]
}


Brave Search (@modelcontextprotocol/server-brave-search)

Purpose: Performs actual web searches (finding current docs, libraries, or solutions) rather than just fetching specific URLs like the fetch server does.
Config:
json
 Show full code block 
"brave-search": {
  "command": "npx",
  "args": ["-y", "@modelcontextprotocol/server-brave-search"],
  "env": {
    "BRAVE_API_KEY": "YOUR_API_KEY_HERE"
  }
}


Sequential Thinking (@modelcontextprotocol/server-sequential-thinking)

Purpose: A tool that helps the AI break down complex problems into step-by-step thought processes. It is particularly useful for debugging difficult logic or architectural planning.
Config:
json
"sequential-thinking": {
  "command": "npx",
  "args": ["-y", "@modelcontextprotocol/server-sequential-thinking"]
}


Other Popular Servers

GitHub: (@modelcontextprotocol/server-github) - If you ever need to interact with GitHub.com in addition to Gitea.

Google Drive: (@modelcontextprotocol/server-google-drive) - Access files in Google Drive.

Slack: (@modelcontextprotocol/server-slack) - Read and send Slack messages.

Sentry: (@modelcontextprotocol/server-sentry) - Analyze error reports directly from Sentry.

How to Find More
The community maintains a comprehensive list of servers in the Awesome MCP Servers repository. You can find servers for almost any major tool (AWS, Azure, Linear, Jira, etc.).

To add any of these, you simply add a new entry to the mcpServers object in your mcp.json file, similar to how you configured podman or fetch.






Create a new ADR for "Worker Health Checks" to monitor stalled background jobs.

Storybook !  for UI











{
  "mcpServers": {
    "gitea-projectium": {
      "command": "d:\\gitea-mcp\\gitea-mcp.exe",
      "args": ["run", "-t", "stdio"],
      "env": {
        "GITEA_HOST": "https://gitea.projectium.com",
        "GITEA_ACCESS_TOKEN": "b111259253aa3cadcb6a37618de03bf388f6235a"
      }
    },
    "gitea-torbonium": {
      "command": "d:\\gitea-mcp\\gitea-mcp.exe",
      "args": ["run", "-t", "stdio"],
      "env": {
        "GITEA_HOST": "https://gitea.torbonium.com",
        "GITEA_ACCESS_TOKEN": "563d01f9edc792b6dd09bf4cbd3a98bce45360a4"
      }
    },
    "gitea-lan": {
      "command": "d:\\gitea-mcp\\gitea-mcp.exe",
      "args": ["run", "-t", "stdio"],
      "env": {
        "GITEA_HOST": "https://gitea.torbolan.com",
        "GITEA_ACCESS_TOKEN": "YOUR_LAN_TOKEN_HERE"
      },
      "disabled": true
    },
    "podman": {
      "command": "D:\\nodejs\\npx.cmd",
      "args": ["-y", "podman-mcp-server@latest"],
      "env": {
        "DOCKER_HOST": "npipe:////./pipe/podman-machine-default"
      }
    },
    "filesystem": {
      "command": "d:\\nodejs\\node.exe",
      "args": [
        "c:\\Users\\games3\\AppData\\Roaming\\npm\\node_modules\\@modelcontextprotocol\\server-filesystem\\dist\\index.js",
        "d:\\gitea\\flyer-crawler.projectium.com\\flyer-crawler.projectium.com"
      ]
    },
    "fetch": {
      "command": "C:\\Users\\games3\\.local\\bin\\uvx.exe",
      "args": ["mcp-server-fetch"]
    },
    "chrome-devtools": {
      "command": "D:\\nodejs\\npx.cmd",
      "args": [
        "chrome-devtools-mcp@latest",
        "--headless",
        "false",
        "--isolated",
        "false",
        "--channel",
        "stable"
      ],
      "disabled": true
    },
    "markitdown": {
      "command": "C:\\Users\\games3\\.local\\bin\\uvx.exe",
      "args": ["markitdown-mcp"]
    },
    "sequential-thinking": {
      "command": "D:\\nodejs\\npx.cmd",
      "args": ["-y", "@modelcontextprotocol/server-sequential-thinking"]
    },
    "memory": {
      "command": "D:\\nodejs\\npx.cmd",
      "args": ["-y", "@modelcontextprotocol/server-memory"]
    },
    "postgres": {
      "command": "D:\\nodejs\\npx.cmd",
      "args": ["-y", "@modelcontextprotocol/server-postgres", "postgresql://postgres:postgres@localhost:5432/flyer_crawler_dev"]
    },
    "playwright": {
      "command": "D:\\nodejs\\npx.cmd",
      "args": ["-y", "@anthropics/mcp-server-playwright"]
    },
    "redis": {
      "command": "D:\\nodejs\\npx.cmd",
      "args": ["-y", "@modelcontextprotocol/server-redis", "redis://localhost:6379"]
    }
  }
}