Hugging Face Discussions Connector for AI agents.
8 live capabilities
Monitor and engage with the machine learning community in real-time.
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Why people use Hugging Face Discussions
Hugging Face Discussions for ML Community Management
This Connector changes that by letting your agent do the scouting for you. It can scan trending repositories and pinpoint the exact threads where developers need help. You get a direct line to the conversations that matter, letting you respond with actual solutions instead of just watching from the sidelines.
What Vinkius changes
You get a way to automate community engagement and research across the Hugging Face ecosystem.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Finding infrastructure leads
A growth lead asks the agent to find people complaining about deployment errors.
- Real-world use case 02
Model support
A model creator wants to know if anyone is having trouble with their latest release.
- Real-world use case 03
Market research
A dev advocate wants to know what the community thinks of a new model.
Complete set · 8capabilities
The complete Hugging Face Discussions capability set.
These are the exact actions your AI can choose when you ask it to work with Hugging Face Discussions.
01—04
4 capabilities in this set.
Part of 8 available through Hugging Face Discussions.
- 01 Capability
Comment discussion
Add a Markdown-formatted comment to an existing thread. This lets your agent provide technical answers directly to users.
- 02 Capability
Get discussion details
Read the full context and all comments of a specific thread. This ensures your agent understands the conversation before it speaks.
- 03 Capability
Get repo discussions
Pull all discussions and issues for a specific repository. This helps you monitor community activity and find pain points.
- 04 Capability
Get repo intelligence
Get a full report on a repository's stats and top discussions. Use this to get a quick overview of a project's health.
05—08
4 capabilities in this set.
Part of 8 available through Hugging Face Discussions.
- 05 Capability
Get trending repositories
Pull a list of the most popular repositories on Hugging Face. This helps you see what the community is interested in right now.
- 06 Capability
Scan target discussions
Search trending repositories for specific keywords. This helps you find high-value threads where people need help.
- 07 Capability
Search repositories
Search for models, datasets, or spaces based on keywords. This is great for finding new engagement opportunities.
- 08 Capability
Create discussion
Start a new discussion or issue in a repository. Use this to report a bug or request a new feature programmatically.
Set up in minutes
One URL. Then ask Hugging Face Discussions to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Hugging Face Discussions from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_5HaPf646XIGEkHF6B1qWXsBOdC8KasfqJUTQe6ae/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Hugging Face Discussions, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Hugging Face Discussions for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_5HaPf646XIGEkHF6B1qWXsBOdC8KasfqJUTQe6ae/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Hugging Face Discussions URL.
- Step 03
Save and start
Save the connection and enable Hugging Face Discussions in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"hugging-face-discussions": {
"url": "https://edge.vinkius.com/vk_preview_5HaPf646XIGEkHF6B1qWXsBOdC8KasfqJUTQe6ae/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Hugging Face Discussions
Open Agent mode in chat and ask: "Using Hugging Face Discussions, help me...". 8 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"hugging-face-discussions": {
"url": "https://edge.vinkius.com/vk_preview_5HaPf646XIGEkHF6B1qWXsBOdC8KasfqJUTQe6ae/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Hugging Face Discussions
Ask Copilot: "Using Hugging Face Discussions, help me...". 8 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"hugging-face-discussions": {
"url": "https://edge.vinkius.com/vk_preview_5HaPf646XIGEkHF6B1qWXsBOdC8KasfqJUTQe6ae/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Hugging Face Discussions
Open Cascade and ask: "Using Hugging Face Discussions, help me...". 8 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"hugging-face-discussions": {
"url": "https://edge.vinkius.com/vk_preview_5HaPf646XIGEkHF6B1qWXsBOdC8KasfqJUTQe6ae/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Hugging Face Discussions
Ask Cline: "Using Hugging Face Discussions, help me...". 8 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add hugging-face-discussions --transport http "https://edge.vinkius.com/vk_preview_5HaPf646XIGEkHF6B1qWXsBOdC8KasfqJUTQe6ae/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Hugging Face Discussions
Ask Claude: "Using Hugging Face Discussions, show me...". 8 tools are ready
Where the request belongs
Work Hugging Face can move forward.
This is for the people who need to stay on top of the machine learning landscape without getting buried in it. It's for the growth lead who needs to find leads and the dev advocate who wants to be helpful without being annoying.
Developer Advocate
Finds specific technical hurdles in community threads on a Tuesday afternoon to offer real, helpful solutions.
Growth Lead
Scans for users asking about deployment issues and suggests the right infrastructure to solve their specific problem.
Model Creator
Monitors all discussions across their own repositories to catch bugs and feature requests as they happen.
Build the capability set
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Bring your own AI
Change the model, client or framework. Keep Hugging Face connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Hugging Face.
The practical details behind the request, access and result.
Can the Hugging Face Discussions MCP help me find leads?
Yes, it lets your agent scan trending repositories for specific keywords like 'deployment errors' to find people who need your specific infrastructure or capabilities.
How does Hugging Face Discussions MCP handle community engagement?
Your agent can read existing threads to understand the context and then post replies using Markdown to provide technical support directly to developers.
Can I use Hugging Face Discussions MCP to report bugs?
Yes, your agent can programmatically create new discussions or issues in any repository to report bugs or request new features.
Is Hugging Face Discussions MCP good for market research?
It's great for research because it can pull intelligence reports on any repository, showing you likes, downloads, and the most active topics.
Can Hugging Face Discussions MCP monitor my own models?
You can have your agent monitor all discussions for your specific repositories to catch issues and community feedback in real-time.
How do I find what's trending on Hugging Face?
The Connector can pull a list of the top trending repositories so you can see what the community is currently focused on.
How do I find my Hugging Face Access Token?
Go to your Hugging Face account settings, under Access Tokens, and create a new fine-grained token. Ensure it has permissions to read and interact with discussions on the specific repositories you want to target.
Can the agent post replies automatically?
Yes. Using the comment_discussion capability, your agent can write and post Markdown replies directly into community threads.
How does the target scanning work?
The scan_target_discussions capability fetches the top trending repositories (models, datasets, etc.) and then iterates through their active discussions, filtering for the exact keyword you specify. It's highly efficient for finding interception points.
One connection away
Give your agent a direct line to Hugging Face.
Connect Hugging Face once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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