TeamSpark
TeamSpark is a team collaboration platform built around shared AI assistants. Unlike individual AI clients, TeamSpark is designed for workgroups — shared conversations, team knowledge bases, and centralized tool configurations. MCP servers configured by an admin are available to all team members, ensuring consistent access to the same data sources.
Shared AI Assistants with Team-Wide MCP Access
TeamSpark centralizes AI tool management for teams. An admin configures MCP servers once in workspace settings, and every team member gets access. Conversations can be shared, forked, or referenced — creating a team knowledge base of AI interactions with real data.
Features:
- Team workspaces — shared AI environment for workgroups
- Centralized MCP — admin configures tools for the entire team
- Shared conversations — share, reference, and fork AI conversations
- Knowledge base — team-wide repository of AI interactions
- Role-based access — control who accesses which MCP tools
- Multi-provider — supports multiple LLM providers
Team Setup
1. Create a Token
In Vinkius Cloud, go to your server → Connection Tokens → Create. Copy the URL.
2. Configure Workspace
In TeamSpark → Workspace Settings → MCP Servers → Add. Paste your URL.
3. Team Access
All workspace members can now use MCP tools in their conversations.
FAQ
Can I control who accesses which MCP tools? Yes. Role-based access lets admins assign specific MCP tool access to different team roles.
Can team members share AI conversations? Yes. Conversations including MCP tool results can be shared, forked, and referenced by team members.
Is TeamSpark for individual use? TeamSpark is designed for team collaboration. Individual users may prefer a personal AI client.
Is TeamSpark free? Free tier for small teams. Paid plans for larger workgroups and advanced features.