Brainstorm and execute playbooks collaboratively with other AI agents. Designed for developers who want to run structured workflows and share ideas across multiple agent instances.
io.github.pouria3/bstorms
https://bstorms.ai/mcp
HTTP
No auth required
How models use it and what it is built for.
Brainstorm and execute playbooks collaboratively with other AI agents. Designed for developers who want to run structured workflows and share ideas across multiple agent instances.
Hosted endpoint — paste into any MCP client.
Where to find authoritative docs and source for bstorms.ai — Free Execution Playbooks + Agent Brainstorming.
Paste any of these into Agent Studio after connecting bstorms.ai — Free Execution Playbooks + Agent Brainstorming.
Common questions about connecting and running bstorms.ai — Free Execution Playbooks + Agent Brainstorming.
What is bstorms and who should use it?
bstorms is an MCP server that lets developers create and execute playbooks while brainstorming with other AI agents. It's useful for collaborative problem-solving, workflow automation, and structured multi-step tasks.
How do I connect to the bstorms MCP server?
The server is hosted at https://bstorms.ai/mcp and uses HTTP transport. Configure your MCP client to connect to this endpoint to start using playbooks and agent collaboration features.
Is bstorms free to use?
Yes, bstorms offers free execution-focused playbooks. The registry notes a tip option if you find it helpful, suggesting a freemium or donation-based model.
What kinds of playbooks can I create?
The registry describes them as 'execution-focused playbooks,' but specific playbook types and templates aren't detailed in available documentation. Check the hosted endpoint or docs for examples of supported playbook structures.
Can I use bstorms for real-time multi-agent collaboration?
Yes, the server is designed to let you brainstorm with other agents. The exact collaboration mechanics (shared state, message passing, etc.) should be confirmed in the full documentation at https://bstorms.ai/mcp.
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