What does Chat Relay Mcp do?
It acts as a persistent relay that syncs chat sessions, AI memories, and project context between AI-powered IDEs, allowing cross-IDE continuity.
@akshatmalik-bruh
基本信息
Chat Relay MCP is a local-first MCP server that lets you continue AI conversations seamlessly across IDEs like Cursor and Antigravity. It stores conversation history, architecture decisions, and important context in a local SQLite database so you can restore sessions instantly wi
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"chat-relay": {
"command": "npx",
"args": [
"-y",
"chat-relay-mcp"
]
}
}
}Create a new context-sharing session (e.g. 'auth-service')
Save a batch of conversation messages to a session
Save a specific decision or fact to a session's long-term memory
Retrieve the full context handoff prompt for a specific session ID
List all available context-sharing sessions
Delete a session and all its associated data
Chat Relay Mcp is a high-fidelity Model Context Protocol server that bridges AI-powered IDEs by providing a persistent, local-first bridge to sync chat sessions, AI memories, and project context across Cursor, Antigravity, VS Code, and more. It is optimized and tested for Cursor and Antigravity.
Add Chat Relay Mcp to your IDE’s MCP configuration. For Cursor: open Settings → General → MCP → Add New MCP Server, set type to command, and paste npx -y chat-relay-mcp as the command. For Antigravity: go to Settings → Advanced → MCP Settings → Edit Config File and add a chat-relay entry under mcpServers with the same command and args.
It acts as a persistent relay that syncs chat sessions, AI memories, and project context between AI-powered IDEs, allowing cross-IDE continuity.
It requires Node.js and can be run via `npx -y chat-relay-mcp`. For local development, you can clone the repo and run `npm install && npm run build && npm run dev`.
All data is stored locally on your machine in a SQLite database. No data is sent to external servers.
Chat Relay Mcp is tested and optimized for Cursor and Antigravity, but it can be used with any IDE that supports the Model Context Protocol (including VS Code).
No, it is local-first and works entirely offline; no cloud dependencies or third-party storage services are used.

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