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196
notes-to-ai5.txt
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196
notes-to-ai5.txt
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What is the correct named pipe address for Podman on Windows if it's not using the default docker_engine pipe?
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How do I configure the chrome-devtools-mcp server to connect to an existing Chrome instance using the browser_url input?
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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.
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Based on your current configuration and project setup (Gitea, Podman, PostgreSQL, Redis), here are several other valuable MCP servers available for VS Code.
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Recommended for Your Stack
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Since you are running a PostgreSQL and Redis stack via Podman, these servers would be immediately useful:
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PostgreSQL (@modelcontextprotocol/server-postgres)
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Purpose: Allows the AI to query your database directly (inspect schemas, run SELECT queries) without needing to shell into the container.
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Config:
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json
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"postgres": {
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"command": "npx",
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"args": ["-y", "@modelcontextprotocol/server-postgres", "postgresql://postgres:postgres@localhost:5432/flyer_crawler_dev"]
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}
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Redis (@modelcontextprotocol/server-redis)
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Purpose: Inspect and modify keys in your Redis instance.
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Config:
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json
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"redis": {
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"command": "npx",
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"args": ["-y", "@modelcontextprotocol/server-redis", "redis://localhost:6379"]
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}
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General Utility Servers
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These servers enhance the AI's core capabilities regardless of the specific project:
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Memory (@modelcontextprotocol/server-memory)
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Purpose: Gives the AI a persistent "knowledge graph" to remember context, user preferences, and project details across different chat sessions.
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Config:
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json
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"memory": {
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"command": "npx",
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"args": ["-y", "@modelcontextprotocol/server-memory"]
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}
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Brave Search (@modelcontextprotocol/server-brave-search)
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Purpose: Performs actual web searches (finding current docs, libraries, or solutions) rather than just fetching specific URLs like the fetch server does.
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Config:
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json
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Show full code block
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"brave-search": {
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"command": "npx",
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"args": ["-y", "@modelcontextprotocol/server-brave-search"],
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"env": {
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"BRAVE_API_KEY": "YOUR_API_KEY_HERE"
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}
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}
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Sequential Thinking (@modelcontextprotocol/server-sequential-thinking)
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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.
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Config:
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json
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"sequential-thinking": {
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"command": "npx",
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"args": ["-y", "@modelcontextprotocol/server-sequential-thinking"]
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}
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Other Popular Servers
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GitHub: (@modelcontextprotocol/server-github) - If you ever need to interact with GitHub.com in addition to Gitea.
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Google Drive: (@modelcontextprotocol/server-google-drive) - Access files in Google Drive.
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Slack: (@modelcontextprotocol/server-slack) - Read and send Slack messages.
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Sentry: (@modelcontextprotocol/server-sentry) - Analyze error reports directly from Sentry.
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How to Find More
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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.).
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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.
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Create a new ADR for "Worker Health Checks" to monitor stalled background jobs.
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Storybook ! for UI
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{
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"mcpServers": {
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"gitea-projectium": {
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"command": "d:\\gitea-mcp\\gitea-mcp.exe",
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"args": ["run", "-t", "stdio"],
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"env": {
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"GITEA_HOST": "https://gitea.projectium.com",
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"GITEA_ACCESS_TOKEN": "b111259253aa3cadcb6a37618de03bf388f6235a"
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}
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},
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"gitea-torbonium": {
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"command": "d:\\gitea-mcp\\gitea-mcp.exe",
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"args": ["run", "-t", "stdio"],
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"env": {
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"GITEA_HOST": "https://gitea.torbonium.com",
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"GITEA_ACCESS_TOKEN": "563d01f9edc792b6dd09bf4cbd3a98bce45360a4"
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}
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},
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"gitea-lan": {
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"command": "d:\\gitea-mcp\\gitea-mcp.exe",
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"args": ["run", "-t", "stdio"],
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"env": {
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"GITEA_HOST": "https://gitea.torbolan.com",
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"GITEA_ACCESS_TOKEN": "YOUR_LAN_TOKEN_HERE"
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},
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"disabled": true
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},
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"podman": {
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"command": "D:\\nodejs\\npx.cmd",
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"args": ["-y", "podman-mcp-server@latest"],
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"env": {
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"DOCKER_HOST": "npipe:////./pipe/podman-machine-default"
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}
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},
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"filesystem": {
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"command": "d:\\nodejs\\node.exe",
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"args": [
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"c:\\Users\\games3\\AppData\\Roaming\\npm\\node_modules\\@modelcontextprotocol\\server-filesystem\\dist\\index.js",
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"d:\\gitea\\flyer-crawler.projectium.com\\flyer-crawler.projectium.com"
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]
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},
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"fetch": {
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"command": "C:\\Users\\games3\\.local\\bin\\uvx.exe",
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"args": ["mcp-server-fetch"]
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},
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"chrome-devtools": {
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"command": "D:\\nodejs\\npx.cmd",
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"args": [
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"chrome-devtools-mcp@latest",
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"--headless",
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"false",
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"--isolated",
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"false",
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"--channel",
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"stable"
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],
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"disabled": true
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},
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"markitdown": {
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"command": "C:\\Users\\games3\\.local\\bin\\uvx.exe",
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"args": ["markitdown-mcp"]
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},
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"sequential-thinking": {
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"command": "D:\\nodejs\\npx.cmd",
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"args": ["-y", "@modelcontextprotocol/server-sequential-thinking"]
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},
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"memory": {
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"command": "D:\\nodejs\\npx.cmd",
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"args": ["-y", "@modelcontextprotocol/server-memory"]
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},
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"postgres": {
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"command": "D:\\nodejs\\npx.cmd",
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"args": ["-y", "@modelcontextprotocol/server-postgres", "postgresql://postgres:postgres@localhost:5432/flyer_crawler_dev"]
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},
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"playwright": {
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"command": "D:\\nodejs\\npx.cmd",
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"args": ["-y", "@anthropics/mcp-server-playwright"]
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},
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"redis": {
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"command": "D:\\nodejs\\npx.cmd",
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"args": ["-y", "@modelcontextprotocol/server-redis", "redis://localhost:6379"]
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}
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}
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}
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