Exact, durable handoffs between AI coding agents: one turn in the right session, never twice.
AgentBrain Handoffs is an MCP integration. Exact, durable handoffs between AI coding agents: one turn in the right session, never twice.
The published oci package is ghcr.io/willykeenan/agentbrain-handoffs:0.1.0. Its declared MCP transport is stdio.
This package has launch arguments in its registry record. Use the maintainer’s configuration for those arguments rather than launching it with only the package name.
Check the maintainer’s instructions for account access, authentication and the supported client configuration. Once connected, inspect the tools your client receives and try a small task that matches the server’s stated purpose. The registry description does not include a verified, complete tool list.
View the publisher’s registry entry · Project repository · Project website. This profile uses version 0.1.0 from the registry. Registration identifies the publisher namespace; it does not establish that this is a first-party integration for every service it connects.
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Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
1. **请求(Request)**: 客户端向服务器发送一个JSON-RPC请求,例如`tool_run`,要求执行一个名为`read_file`的工具。 2. **分发(Dispatch)**: `server.py`中的MCP服务器核心接收请求,并将其分派给`ToolRegistry`。
This project provides a GitHub MCP server with tools to interact with GitHub repositories and issues.
🧠 MCP server implementing RAT (Retrieval Augmented Thinking) - combines DeepSeek's reasoning with GPT-4/Claude/Mistral responses, maintaining
A simple configuration file is used to create tooling for the various Cortex AI features. An example can be seen at