Group Chat Speaker Selector Connector for AI agents.
3 live capabilities
Control multi-agent conversation flow with deterministic scheduling
Waiting for input…
Why people use Group Chat Speaker Selector
Stop the chaos in Group Chat Speaker Selector multi-agent workflows
This MCP changes that by giving you a central logic engine. Instead of writing complex conditional loops in your main application, you offload the decision-making to a dedicated scheduling layer. You get a predictable, repeatable way to manage turns, ensuring every agent gets a chance to contribute exactly when it makes sense.
What Vinkius changes
You get a predictable, rule-governed way to manage how multiple agents interact in a shared space.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Coordinated multi-expert debates
An engineer sets up a debate between a coder, a security expert, and a project manager.
- Real-world use case 02
Automated research workflows
A researcher uses a group of agents to analyze a dataset.
- Real-world use case 03
Budget-conscious agent loops
A developer manages a swarm of agents where costs must be kept low.
Complete set · 3capabilities
The complete Group Chat Speaker Selector capability set.
These are the exact actions your AI can choose when you ask it to work with Group Chat Speaker Selector.
01—03
3 capabilities in this set.
Part of 3 available through Group Chat Speaker Selector.
- 01 Capability
Get agent eligibility
Checks if a specific agent is permitted to speak based on fairness rules. This prevents unauthorized or redundant turns.
- 02 Capability
Select next speaker
Determines the next participant using strategies like round-robin or relevance. It picks the right agent for the current context.
- 03 Capability
Update speaker history
Records completed turns to keep the participation data current. This ensures the scheduling logic stays accurate.
Set up in minutes
One URL. Then ask Group Chat Speaker Selector to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Group Chat Speaker Selector 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_nfjkk7FGSHIi9hAdHoxUW8Av0TbUaj3LuCxPFGDj/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 Group Chat Speaker Selector, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Group Chat Speaker Selector for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_nfjkk7FGSHIi9hAdHoxUW8Av0TbUaj3LuCxPFGDj/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 Group Chat Speaker Selector URL.
- Step 03
Save and start
Save the connection and enable Group Chat Speaker Selector in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"group-chat-speaker-selector": {
"url": "https://edge.vinkius.com/vk_preview_nfjkk7FGSHIi9hAdHoxUW8Av0TbUaj3LuCxPFGDj/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 Group Chat Speaker Selector
Open Agent mode in chat and ask: "Using Group Chat Speaker Selector, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"group-chat-speaker-selector": {
"url": "https://edge.vinkius.com/vk_preview_nfjkk7FGSHIi9hAdHoxUW8Av0TbUaj3LuCxPFGDj/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 Group Chat Speaker Selector
Ask Copilot: "Using Group Chat Speaker Selector, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"group-chat-speaker-selector": {
"url": "https://edge.vinkius.com/vk_preview_nfjkk7FGSHIi9hAdHoxUW8Av0TbUaj3LuCxPFGDj/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 Group Chat Speaker Selector
Open Cascade and ask: "Using Group Chat Speaker Selector, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"group-chat-speaker-selector": {
"url": "https://edge.vinkius.com/vk_preview_nfjkk7FGSHIi9hAdHoxUW8Av0TbUaj3LuCxPFGDj/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 Group Chat Speaker Selector
Ask Cline: "Using Group Chat Speaker Selector, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add group-chat-speaker-selector --transport http "https://edge.vinkius.com/vk_preview_nfjkk7FGSHIi9hAdHoxUW8Av0TbUaj3LuCxPFGDj/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 Group Chat Speaker Selector
Ask Claude: "Using Group Chat Speaker Selector, show me...". 3 tools are ready
Where the request belongs
Work Group Chat Speaker Selector can move forward.
This is for developers and AI engineers building complex multi-agent systems where coordination is a requirement, not an afterthought.
AI Orchestration Engineer
Designing multi-agent workflows that require strict turn-taking and predictable behavior.
LLM Application Developer
Building chat interfaces where multiple specialized agents must collaborate without overlapping.
Agentic Workflow Designer
Setting up automated reasoning loops that involve several different models working in sequence.
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Bring your own AI
Change the model, client or framework. Keep Group Chat Speaker Selector connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
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Raycast -
Jan -
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AnythingLLM -
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LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Group Chat Speaker Selector.
The practical details behind the request, access and result.
How does the Group Chat Speaker Selector MCP prevent one agent from talking too much?
It uses fairness constraints and token-aware scheduling to ensure no single agent dominates the conversation, keeping the dialogue balanced.
Can I use the Group Chat Speaker Selector MCP with different scheduling strategies?
Yes, you can choose from several strategies like round-robin, priority-based, or relevance-based to decide how your agents take turns.
Does the Group Chat Speaker Selector MCP help with managing API costs?
Yes, it includes a token-budget-aware strategy that helps you control which agents speak based on their remaining budget, preventing unexpected costs.
How does this MCP keep track of which agents have already participated?
The MCP maintains a history of all completed turns, allowing the scheduling engine to make informed decisions about who should speak next.
Is the Group Chat Speaker Selector MCP compatible with my existing agent framework?
Yes, as long as your framework can call MCP capabilities, you can integrate this scheduling logic into your multi-agent orchestrations.
How does the fairness constraint work?
The engine ensures no agent speaks more than the ceiling of the average turns per agent plus one, preventing any single agent from dominating the dialogue.
What selection strategies are available?
Available strategies include round_robin for cyclic order, priority_based for importance ranking, relevance_based for keyword matching, and token_budget_aware for resource management.
Can I use this with Claude Desktop?
Yes, this MCP server can be connected to Claude Desktop, Cursor, VS Code, Windsurf, and any other MCP-compatible client via Vinkius Edge.
One connection away
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