Claude Code MCP
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Claude Code MCPFix the bug in the payment gateway and run tests."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Claude Code Plugin for Any Agent
Use an already-installed and authenticated Claude Code CLI from Codex or any other MCP-compatible harness.
This is an MCP server, not a host-specific plugin: it communicates over standard input/output and starts the local claude executable. That makes its tool interface portable across MCP clients while preserving your existing CLI authentication and default model configuration.
What it provides
Tool | Purpose |
| Run a task synchronously or as a managed background job. |
| Run a read-only review in a working directory. |
| Check local CLI availability and background-job status. |
| Retrieve a completed background job's stored output. |
| Cancel a running background job. |
Every task and review accepts optional model and effort fields. If model is omitted, the server does not send --model, so the local CLI uses its normally configured default. effort maps directly to Claude Code's --effort option (low, medium, high, xhigh, or max).
Related MCP server: claude-cli-mcp
Prerequisites
Node.js 18 or newer
Claude Code already installed and authenticated
Codex CLI, if you are using the Codex installation path below
Check the local prerequisites:
node --version
claude --version
codex --versionInstall in Codex
Clone the repository, or use your existing clone:
git clone https://github.com/sarthchawla/claude-code-as-plugin.git
cd claude-code-as-pluginRegister the server. Run this from the cloned repository. The command records absolute paths for both Node and the local CLI, so it also works when Codex is launched from a desktop app with a minimal PATH:
MCP_SERVER_PATH="$(pwd)/bin/claude-code-mcp.mjs"
MCP_NODE_BIN="$(command -v node)"
MCP_CLAUDE_BIN="$(dirname "$(command -v claude)")"
MCP_PATH="$MCP_CLAUDE_BIN:$(dirname "$MCP_NODE_BIN"):$PATH"
codex mcp add claude-code \
--env CLAUDE_CODE_MCP_REVIEW_AFTER_RUN=false \
--env "PATH=$MCP_PATH" \
-- "$MCP_NODE_BIN" "$MCP_SERVER_PATH"Verify registration:
codex mcp listFully restart Codex. The five tools listed above should then be available.
Enable the post-task review hook
The hook is disabled by default. To enable it, replace the registration:
codex mcp remove claude-code
MCP_SERVER_PATH="$(pwd)/bin/claude-code-mcp.mjs"
MCP_NODE_BIN="$(command -v node)"
MCP_CLAUDE_BIN="$(dirname "$(command -v claude)")"
MCP_PATH="$MCP_CLAUDE_BIN:$(dirname "$MCP_NODE_BIN"):$PATH"
codex mcp add claude-code \
--env CLAUDE_CODE_MCP_REVIEW_AFTER_RUN=true \
--env "PATH=$MCP_PATH" \
-- "$MCP_NODE_BIN" "$MCP_SERVER_PATH"The hook runs only after a successful claude_run. It uses a restricted, read-only tool set and returns its findings under review in the same tool response. It adds latency and usage, and does not attempt automatic fixes or feedback loops.
For a customized hook, add either optional environment variable during codex mcp add:
--env 'CLAUDE_CODE_MCP_REVIEW_MODEL=sonnet'
--env 'CLAUDE_CODE_MCP_REVIEW_PROMPT=Review for correctness, security, and missing tests. Do not modify files.'Use from Codex
Ask Codex to use a tool directly. Typical calls look like these:
{
"prompt": "Investigate the failing tests and make the smallest safe fix.",
"cwd": "/absolute/path/to/project",
"model": "sonnet",
"effort": "high"
}Omit model to use the local CLI default:
{
"prompt": "Review the current changes for regressions.",
"cwd": "/absolute/path/to/project"
}The default permission mode is manual. claude_run also supports permission_mode, allowed_tools, max_budget_usd, timeout_ms, and review_after_run for a single-call hook override. Use claude_review with model: "opus" and an effort value when you want a higher-effort read-only review.
Background jobs
Set background to true to receive a jobId immediately:
{
"prompt": "Investigate the CI regression and prepare a minimal fix.",
"cwd": "/absolute/path/to/project",
"background": true
}Then use:
claude_statuswithjob_idwhile the task runs.claude_resultwithjob_idafter status iscompleted.claude_cancelwithjob_idto stop it.
Cancellation sends SIGTERM to the subprocess group, followed by SIGKILL after five seconds if needed. Job state and output are stored only in memory; restarting the MCP server loses prior job history.
Configure another MCP harness
Use the standard mcpServers entry in examples/mcp-server.json, replacing the placeholder path with the absolute location of bin/claude-code-mcp.mjs:
{
"mcpServers": {
"claude-code": {
"command": "/absolute/path/to/node",
"args": ["/absolute/path/to/claude-code-as-plugin/bin/claude-code-mcp.mjs"],
"env": {
"CLAUDE_CODE_MCP_REVIEW_AFTER_RUN": "false",
"PATH": "/directory-containing-claude:/directory-containing-node:/usr/local/bin:/usr/bin:/bin"
}
}
}
}Troubleshooting
The tools do not appear: fully quit and reopen Codex after registration. Existing tasks do not always reload MCP configuration.
The server is unavailable: rerun the registration commands above. They pass absolute Node and CLI paths to Codex, avoiding desktop-app
PATHdifferences.The model is not what you expected: omit
modelto use the CLI default, or supply the desired model alias/value only for that invocation.A background job disappeared: jobs are process-local. Re-run the task after restarting Codex or the MCP server.
Update or remove the server: use
codex mcp remove claude-code, then run the registration command again (or leave it removed).
Security
Any MCP client that can call this server can ask the local CLI to operate in its supplied cwd. Register it only with trusted harnesses and repositories. Keep the default manual permission mode unless the calling environment provides a suitable sandbox.
Development
npm testThis server cannot be deployed
Maintenance
Related MCP Connectors
Your org's AI agents, tasks, runs, search, and brain files as MCP tools and resources.
Use AI models for chat, image, and video generation from Claude Code and other MCP hosts.
Shared memory and actions for Claude, Kiro, OpenAI, Cursor, and other MCP-compatible AI clients.
Source-checked CLI guides and model-aware planning for Claude Code, Codex, and Grok Build.
Related MCP Servers
- AlicenseAqualityDmaintenanceWraps Claude Code as tools for MCP clients, enabling autonomous coding tasks via a 4-tool lifecycle with session management, async polling, and permission controls.434 npm20MIT
- AlicenseAqualityDmaintenanceWraps Anthropic Claude Code CLI as tools, allowing MCP clients to invoke headless Claude Code sessions.2972 npmMIT
- FlicenseNot gradedqualityCmaintenanceExposes Claude Code's file editing, command execution, and test running capabilities as composable MCP tools for any MCP-compatible host, enabling code operations via a stateless bridge.-
- FlicenseNot gradedqualityCmaintenanceEnables ISLI agents and MCP clients to dispatch natural-language coding and terminal tasks to a locally-installed Claude Code CLI, supporting both one-shot execution and persistent sessions with workspace and security controls.-