mcp-agents
MCP server that wraps AI CLI tools — Claude Code, Antigravity CLI, and Codex CLI — so any MCP client can call them as tools.
README
mcp-agents
MCP server that wraps AI CLI tools — Claude Code, Antigravity CLI (agy), and Codex CLI — so any MCP client can call them as tools.
Prerequisites
- Node.js >= 18
- At least one of the following CLIs installed and on your
$PATH:
| CLI | Install |
|---|---|
claude |
Claude Code docs |
agy |
Google Antigravity |
codex |
npm install -g @openai/codex |
Only the CLI you select with --provider needs to be present.
Install
npm install -g mcp-agents
Global install is strongly recommended over npx -y mcp-agents@latest. The npx
approach performs a network round-trip on every cold start, which can exceed MCP client
connection timeouts and cause "stream disconnected" errors.
Tip: If your project's .mcp.json references mcp-agents, add npm install -g mcp-agents
to your setup script (e.g. bin/setup) so new developers get it automatically.
Quick test
# Default provider (codex)
mcp-agents
# Specific provider
mcp-agents --provider claude
mcp-agents --provider gemini
The server speaks JSON-RPC over stdio. It prints [mcp-agents] ready (provider: <name>) to stderr when it's listening.
Providers & Tools
Each --provider flag maps to a single exposed tool:
| Provider | Tool name | CLI command |
|---|---|---|
claude |
claude_code |
claude --model claude-opus-4-8 --effort xhigh -p --output-format json |
gemini |
gemini |
agy --sandbox -p <prompt> |
codex |
(pass-through) | codex mcp-server |
claude_code parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
prompt |
string |
yes | The prompt to send to Claude Code |
timeout_ms |
integer |
no | Timeout in ms (default: 300 000 / 5 minutes) |
Any additional tools/call arguments are ignored (for example model, effort, or config).
Claude is pinned to claude-opus-4-8 at effort xhigh; callers cannot change the model or effort per call. Calls run with --output-format json; the server parses the JSON payload and returns the assistant result text (or an MCP error if is_error=true).
gemini parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
prompt |
string |
yes | The prompt to send to the Antigravity CLI (agy) |
timeout_ms |
integer |
no | Timeout in ms (default: 300 000 / 5 minutes) |
Any additional tools/call arguments are ignored (for example model or model_reasoning_effort).
agy always runs with --sandbox (terminal restrictions enabled); there is no per-call sandbox toggle.
codex (pass-through)
The codex provider passes through to Codex's native MCP server (codex mcp-server)
inside an isolated CODEX_HOME. The bridge copies auth.json into a temporary Codex
home, writes a minimal config.toml, and does not inherit your normal external MCP
server list. That keeps Codex from recursively starting other agent tools like Claude
or Gemini during bridge calls.
| CLI Flag | Default | Codex config key |
|---|---|---|
--model |
gpt-5.5 |
model |
--model_reasoning_effort |
xhigh |
model_reasoning_effort |
Hardcoded defaults: sandbox_mode=read-only, approval_policy=never,
features.multi_agent=false.
Startup flags (--model, --model_reasoning_effort) set the model and effort for the native Codex MCP server. Per-call model and config arguments are stripped from tools/call before they reach Codex, so a client cannot override the pinned model/effort (or the read-only/never sandbox config) for a single call. For example, this request:
{
"prompt": "Review this diff",
"model": "gpt-5.5-codex",
"config": { "model_reasoning_effort": "medium" }
}
is forwarded to Codex as { "prompt": "Review this diff" }. Change the model or effort at server startup instead.
Integration with Claude Code
Add entries to your project's .mcp.json (requires npm i -g mcp-agents):
{
"mcpServers": {
"codex": {
"command": "mcp-agents",
"args": ["--provider", "codex"]
},
"gemini": {
"command": "mcp-agents",
"args": ["--provider", "gemini"]
}
}
}
Override codex defaults at server startup:
{
"mcpServers": {
"codex": {
"command": "mcp-agents",
"args": ["--provider", "codex", "--model", "gpt-5.5", "--model_reasoning_effort", "medium"]
}
}
}
The model and effort are fixed at server startup. Per-call model and config arguments sent to the native codex tool are stripped before reaching Codex, so they cannot override the startup defaults.
Because the bridge runs in an isolated Codex home, inherited MCP servers from your normal
~/.codex/config.toml are intentionally unavailable inside bridged Codex sessions.
<details> <summary>Alternative: using npx (slower, not recommended)</summary>
{
"mcpServers": {
"codex": {
"command": "npx",
"args": ["-y", "mcp-agents@latest", "--provider", "codex"]
}
}
}
Warning:
npx -y mcp-agents@latestperforms a network round-trip on every cold start (~70s), which can exceed MCP client connection timeouts.
</details>
Integration with OpenAI Codex
Add two entries to ~/.codex/config.toml — one per provider you want available.
Set tool_timeout_sec = 300 to avoid Codex MCP's default 60s per-tool timeout:
[mcp_servers.claude-code]
command = "mcp-agents"
args = ["--provider", "claude"]
tool_timeout_sec = 300
[mcp_servers.gemini]
command = "mcp-agents"
args = ["--provider", "gemini"]
tool_timeout_sec = 300
Then in a Codex session you can call the claude_code or gemini tools, which shell out to the respective CLIs.
Development
npm install
npm link # symlinks mcp-agents to your local server.js
After npm link, any edits to server.js take effect immediately — no reinstall needed.
How it works
- An MCP client connects over stdio
- The server reads
--provider <name>from its argv (defaults tocodex) - It registers a single tool matching that provider's CLI
- Client calls
tools/callwith the tool name and aprompt - The server runs the CLI as a child process and returns tool text (Claude JSON
result, or stdout/stderr for other providers)
The server keeps a small keepalive timer so Node.js does not exit prematurely when stdin reaches EOF before an async subprocess registers an active handle. For Claude and Gemini provider mode, that keepalive is cleared during shutdown: the server now exits when the MCP stdio connection closes and kills any tracked detached provider child process groups that would otherwise linger.
License
MIT
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