A bridge server that connects **Agent Communication Protocol (ACP)** agents with **Model Context Protocol (MCP)** clients, enabling seamless
Connect ACP to Claude, Cursor or any other MCP client and it stops being a tab you switch to. A bridge server that connects Agent Communication Protocol (ACP) agents with Model Context Protocol (MCP) clients, enabling seamless integration between ACP-based AI agents and MCP-compatible tools like Claude Desktop. The acp mcp server is what makes that connection.
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
Installation — The Installation tool exposed by this serverfor on PyPI is all you need. Most clients run it directly, so configuration is a few lines and a restart.
Configuration is passed through the environment: ACP_BASE_URL. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. ACP's toolset — Installation — is a fair guide to whether it matches your workflow. It is maintained by GongRzhe; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| Installation | The Installation tool exposed by this server. |
{
"mcpServers": {
"acp-bridge": {
"command": "uvx",
"args": ["acp-mcp-server"]
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| ACP_BASE_URL | Endpoint or connection string the server talks to. | Yes |
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.