MCP Servers in the Wild 🌴 👀 🌴 #2075
Replies: 8 comments 4 replies
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Here's one of my favorites: the mBot MCP server Community member built an MCP server to control a bot with Goose
mbot.mp4 |
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Found an MCP server that I would loooove to try out The ability to send emails directly from your MCP client 🤯 https://github.com/resend/mcp-send-email |
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Not sure this thread is still used for the Goose MCP servers curation, but we just released a MCP Server with Kiwi.com, which allow you to search and book flights directly from your MCP Client: MCP Server Name: Kiwi.com Official Flight Search |
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@blackgirlbytes I'd love to add TwelveLabs MCP Server into Goose official extensions directory! MCP Server Name: TwelveLabs MCP Server What it does
Key Features
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Hi! I'd like to propose adding two Mapbox MCP servers to the Goose extensions list as I work at Mapbox on our MCP servers. Both solve different but complementary problems for AI agents. 1. Mapbox MCP Server (Location Intelligence)MCP Server Name: Mapbox MCP Server What It DoesGives AI agents comprehensive location intelligence capabilities:
Why This Is Valuable for GooseMost AI agents can't answer basic location questions like "How long does it take to drive from X to Y?" or "What's within walking distance of this address?" This server bridges that gap, enabling agents to:
Setup for GooseOption 1: Hosted (easiest) {
"mapbox": {
"url": "https://mcp.mapbox.com/mcp"
}
}First connection uses OAuth browser login to your Mapbox account (free tier available). Option 2: Local {
"mapbox": {
"command": "npx",
"args": ["-y", "@mapbox/mcp-server"],
"env": {
"MAPBOX_ACCESS_TOKEN": "your_token_here"
}
}
}Get a free access token at: https://account.mapbox.com/auth/signup/ Example Use Cases
Documentation2. Mapbox DevKit MCP Server (Map Style Designer)MCP Server Name: Mapbox DevKit MCP Server What It DoesA visual design assistant for creating and customizing Mapbox map styles:
Why This Is Valuable for GooseMap styling is inherently visual work. This server brings a unique interactive visual experience to Goose through MCP-UI support, allowing users to:
The MCP-UI integration means users get interactive visual map previews directly in Goose, not just JSON or text descriptions. This makes design workflows much more intuitive and productive. Setup for Goose{
"mapbox-devkit": {
"url": "https://mcp-devkit.mapbox.com/mcp"
}
}No authentication required. MCP-UI features work automatically if your Goose client supports UI rendering. Example Use Cases
DocumentationWhy MCP-UI MattersUnlike text-only MCP servers, the DevKit leverages MCP-UI to provide rich visual experiences. When you ask to create or compare map styles, you see actual rendered maps in Goose's interface, not just JSON or descriptions. This makes it perfect for design-focused workflows and visual iteration. Why Both Servers Together?These servers complement each other:
A developer using Goose could have both servers configured: the DevKit helps design custom map styles with visual feedback, while the main MCP server provides location intelligence for testing and analysis. Community InterestWe've published blog posts and examples showing integration with CrewAI, and we're seeing strong interest from the AI agent community. Happy to create Goose-specific tutorials and examples if these are added to the extensions list! Let me know if you need any additional information or would like to see a demo! |
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OMEGA Memory — Persistent Semantic Memory for AI AgentsTransport: stdio OMEGA gives Goose persistent, semantic memory across sessions. Instead of starting fresh every conversation, your agent recalls decisions, lessons learned, preferences, and project context — retrieving only what's relevant via vector embeddings. What it adds to Goose
Setup in Goosepip install omega-memoryThen in Goose Desktop > Extensions > Add > STDIO:
Why use OMEGA over built-in memory?Goose's built-in memory is great for simple key-value recall. OMEGA is for when you want your agent to genuinely learn and improve across hundreds of sessions — semantic retrieval means only relevant context surfaces, the knowledge graph connects related decisions, and temporal awareness lets you query by time. Runs 100% locally on SQLite, no cloud required. Happy to answer any questions or help with setup! |
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MCP Server: vmware-aiops — Manage VMware vCenter/ESXi with natural language Transport: stdio What it does: 32 MCP tools to manage VMware infrastructure via natural language — VM lifecycle, deployment, guest operations, Plan→Apply Quick setup with Goose: Key features:
Works with Ollama (qwen2.5:32b recommended for tool-calling): Full guide: https://github.com/zw008/VMware-AIops/blob/main/docs/integrations/goose.md |
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Sats4AI — Bitcoin-powered AI tools via remote MCP (streamable-http) Remote streamable-http server with 30+ tools: image generation, background removal, upscaling, face restoration, object detection/removal, video generation, image animation, TTS (467 voices, 45+ languages, voice cloning), transcription, music, OCR, 3D model generation, translation (119 languages), file conversion, email, SMS, phone calls, and AI voice agents. No signup, no API keys. Each tool call is paid with a Bitcoin Lightning micropayment — Goose negotiates the payment inline via L402. Server URL: https://sats4ai.com/api/mcp |
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Welcome to our discussion of MCP servers in the wild wild! This thread is a place to share, discover, and discuss Message Control Protocol servers we've found or want to explore.
Share Your Findings
Looking to integrate?
As an MCP client, Goose can connect to any MCP server. We'd love to create tutorials showing how your server works with Goose, or feature it in our official extensions directory!
Drop the details below! Include links and what makes it interesting.
🌱 Share your discoveries below 👇
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