io.github.Oortonaut/mcacp

编码与调试

by oortonaut

连接 MCP 与 ACP 的桥接工具,让任意 MCP client 都能驱动 ACP coding agents。

什么是 io.github.Oortonaut/mcacp

连接 MCP 与 ACP 的桥接工具,让任意 MCP client 都能驱动 ACP coding agents。

README

MCACP

Bridge any MCP client to any ACP coding agent.

MCACP is an MCP server that speaks the Agent Client Protocol on behalf of your MCP host. It lets Claude Code, Zed, VS Code, or any MCP-compatible client spawn, manage, and interact with ACP coding agents — turning a single chat window into a multi-agent control plane.

code
MCP Client (Claude Code, Zed, VS Code, ...)
    |
    |  MCP (stdio)
    v
  MCACP
    |
    |  ACP (stdio, per agent)
    v
 Claude Code  ·  Gemini CLI  ·  Codex  ·  Auggie  ·  Copilot  ·  ...

What can you do with this?

Run any ACP agent from any MCP client. You don't need a dedicated IDE plugin for each agent. Install Gemini from Claude Code. Run Codex from Zed. Mix and match.

Compare agents side by side. Give the same task to Claude Code ACP and Gemini CLI in parallel sessions and compare the results.

Build agent-driven pipelines. One agent writes code, another reviews it, a third runs the tests. MCACP handles the lifecycle and permission flow for all of them.

Control permissions interactively. On hosts that support MCP elicitation (Zed), permission requests pop up as interactive forms. On hosts that don't (Claude Code), they fall back to operator mode where the host agent decides.

Resume where you left off. Sessions persist to disk. Shut down, restart, load_session — the agent picks up where it stopped.

Discover and install agents from chat. Browse the ACP registry, install agents, check for upgrades — without leaving your conversation.

Quick start

Install

bash
npm install -g mcacp

Or run directly:

bash
npx mcacp

Add to your MCP client

Claude Code (~/.claude/settings.json):

json
{
  "mcpServers": {
    "mcacp": {
      "command": "npx",
      "args": ["-y", "mcacp"]
    }
  }
}

Zed (settings.json):

json
{
  "context_servers": {
    "mcacp": {
      "command": { "path": "npx", "args": ["-y", "mcacp"] }
    }
  }
}

Then from chat:

code
"Search for available agents"        →  registry_search
"Install the Gemini agent"           →  agent_install
"Initialize it and start a session"  →  initialize + new_session
"Ask it to refactor auth"            →  prompt_start + prompt

MCP tools

MCACP exposes 22 tools organized into five groups.

Registry

ToolDescription
list_installed_agentsList locally installed agents
registry_searchSearch the ACP agent registry
agent_installInstall an agent from the registry
agent_uninstallRemove an installed agent
agent_check_upgradesCheck for available upgrades
discover_agentsScan editor configs (Zed, JetBrains) for agents
reload_configReload mcacp.json from disk

Lifecycle

ToolDescription
initializeSpawn an agent process and perform the ACP handshake
shutdownGracefully shut down an agent

Sessions

ToolDescription
new_sessionCreate a session with working directory and permission policy
load_sessionResume a persisted session
list_sessionsList stored sessions for an agent
close_sessionClose a session (preserved for later resume)

Interaction

ToolDescription
prompt_startSend a prompt (returns immediately)
promptBlock until events are available
prompt_eventsNon-blocking poll for events
grant_permissionResolve a pending permission request (operator mode)
request_permissionSend an MCP elicitation to the host for a permission decision
cancelCancel an in-progress prompt
set_modeSwitch agent operating mode

Status

ToolDescription
list_running_agentsList all agents with status and sessions
get_agent_statusDetailed status of a running agent
set_agent_statusSet status text for an agent

Permission policies

Each session can use a different policy:

PolicyBehavior
allow_allAuto-approve all agent actions
deny_allBlock all tool use
elicitForward as MCP elicitations to the host; falls back to operator if unsupported
operatorQueue as events — the host agent decides via grant_permission

Operator flow

code
Orchestrator                   MCACP                      ACP Agent
    |                            |                            |
    |-- prompt(sessionId, ...) ->|                            |
    |                            |-- session/prompt --------->|
    |                            |<- request_permission ------|
    |<- {pendingPermission: ...} |                            |
    |                            |                            |
    |-- grant_permission ------->|                            |
    |   {toolCallId, optionId}   |-- permission outcome ----->|
    |                            |<- prompt result -----------|
    |<- {stopReason, updates}    |                            |

Configuration

MCACP looks for mcacp.json in these locations (first found wins):

  1. --config flag or MCACP_CONFIG env var
  2. .mcacp/mcacp.json in the current directory
  3. ~/.config/mcacp/mcacp.json
jsonc
{
  "registries": ["https://cdn.agentclientprotocol.com/registry/v1/latest/registry.json"],
  "defaultPermissionPolicy": "elicit",
  "agent_servers": {
    "my-custom-agent": {
      "command": "node",
      "args": ["my-agent.js"]
    }
  }
}

See docs/configuration.md for the full schema.

Building from source

bash
git clone https://github.com/Oortonaut/mcacp.git
cd mcacp
npm install
npm run build
node dist/index.js

License

Apache-2.0

常见问题

io.github.Oortonaut/mcacp 是什么?

连接 MCP 与 ACP 的桥接工具,让任意 MCP client 都能驱动 ACP coding agents。

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