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chap

[![BrightbeamAI/chap MCP server](https://glama.ai/mcp/servers/BrightbeamAI/chap/badges/score.svg)](https://glama.ai/mcp/servers/BrightbeamAI/chap) πŸŽ–οΈ πŸ“‡ 🏠 πŸŽβ€¦

AI & ML

chap is a community MCP server that connects AI assistants like Claude to [![brightbeamai/chap mcp server](https://glama.ai/mcp/servers/brightbeamai/chap/badges/score.svg)](https://glama.ai/mcp/servers/brightbeamai/chap) πŸŽ–οΈ πŸ“‡ 🏠 πŸŽβ€¦. It runs locally on your machine, keeping your data private and giving you full control over the connection. AI engineers can use it to chain models and pipelines into more powerful workflows.

About chap

Overview

BrightbeamAI/chap MCP server πŸŽ–οΈ πŸ“‡ 🏠 🍎 πŸͺŸ 🐧 - Official CHAP Coordinator MCP server for auditable human-agent collaboration: approvals, overrides, handoffs, escalations, and hash-linked evidence. Run locally with npx -y @brightbeamai/chap-coordinator-mcp.

Links

Topics

mcp-server

Who Should Use chap?

  • 1Chain AI models and pipelines through a unified MCP interface
  • 2Let Claude orchestrate other AI tools and models
  • 3Integrate embeddings, image generation, or speech APIs into your workflow
  • 4Build multi-model workflows without writing custom integration code

How chap Compares

✦It runs entirely on your local machine, so no data leaves your environment β€” important for teams with privacy or compliance requirements.
✦Compared to other AI & ML MCP servers, it focuses on a well-scoped set of capabilities, which keeps the integration lightweight and predictable.

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