Files
codex-app-server/cloud/imagegen_mcp.py
T
host 33bd14638f feat: 图片生成 MCP 工具 image_generate(中转站图片分组)
- cloud/imagegen.py:POST /v1/images/generations,解析 url 或
  b64_json,下载落盘到工作区;basename 校验防路径逃逸;
  缺 IMAGE_GEN_API_KEY 时明确报未配置,绝不回退任务自己
  的分组 2 key(分组 2 allow_image=False,回退只会 404)。
- cloud/imagegen_mcp.py:stdio MCP,工具 image_generate。
- worker --imagegen-mcp:租户 codex-home 播种脚本与
  [mcp_servers.imagegen],容器启动前写 env(系统级
  IMAGE_GEN_* + 代理 + NO_PROXY 网关 host)。
- image-workflow 技能:有 image_generate 时用它生成,
  无工具或报未配置时明说无法生成;改图暂无专用工具。
- 测试:imagegen 9 项 + worker 播种/env 3 项。
实测依据(2026-10-30):分组 4 key 调 gpt-image-2.5-flare
返回 200,URL 图为真实 PNG 1024x1024;此前分组 4 账号
schedulable=False 时全模型 404,调度开启后恢复。
部署注意(主机侧,不在代码里):env 需配 IMAGE_GEN_API_KEY;
Tinyproxy 白名单需加 qinglanapi.top(下载返回图 URL 用);
autoscaler 需加 --imagegen-mcp。
2026-10-30 02:53:30 +08:00

168 lines
6.5 KiB
Python

"""Stdio MCP server exposing image_generate to codex.
Protocol: JSON-RPC 2.0 over stdio, one JSON object per line.
Logs go to stderr only -- anything on stdout would corrupt the
JSON-RPC stream.
This file is deliberately thin: all provider logic lives in
``imagegen.py``. It can run two ways:
- inside the repo: ``python3 -m cloud.imagegen_mcp`` (imports
``cloud.imagegen``);
- copied flat into a tenant codex-home next to ``imagegen.py``
(imports plain ``imagegen`` from its own directory).
The ``ensure_codex_home_imagegen`` helper in imagegen.py does the
copying; keys are read from the MCP server process environment
by imagegen.py, never from the tool arguments.
"""
import json
import os
import sys
try:
from cloud.imagegen import ImageGenError, generate
except ImportError: # flat copy in a tenant codex-home
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
from imagegen import ImageGenError, generate # noqa: E402
SERVER_NAME = "imagegen"
SERVER_VERSION = "0.1.0"
_TOOLS = [
{
"name": "image_generate",
"description": (
"Generate one image from a text prompt via the relay's "
"image group and save it as a file in the current working "
"directory (the task worktree). Returns the absolute path, "
"format, dimensions when detectable, byte size and the "
"relay usage block. The file is a real generated image, "
"never a placeholder: on any failure the tool errors "
"instead of writing a stand-in file. Verify the returned "
"path with shell/PIL before reporting success."
),
"inputSchema": {
"type": "object",
"properties": {
"prompt": {"type": "string",
"description": "Image description in detail"},
"output_filename": {"type": "string",
"description": "Plain basename "
"to save as, e.g. 'hero.png'. "
"Default: generated-<epoch>.png"},
"size": {"type": "string", "default": "1024x1024",
"description": "1024x1024, 1536x1024, "
"1024x1536, or auto"},
"model": {"type": "string",
"description": "Image model override; "
"default is the IMAGE_GEN_MODEL env "
"or gpt-image-2.5-flare"},
},
"required": ["prompt"],
},
},
]
def _err(code, message):
return {"code": code, "message": message}
def handle_request(request, generate_fn=None):
"""Handle one JSON-RPC request dict. Returns a response dict or
None for notifications (no id). Pure function for testability:
the stdio loop passes the real generate, tests pass fakes."""
generate_fn = generate_fn or generate
if not isinstance(request, dict):
return {"jsonrpc": "2.0", "id": None,
"error": _err(-32700, "request is not an object")}
method = request.get("method")
req_id = request.get("id")
is_notification = "id" not in request
if method == "initialize":
if is_notification:
return None
return {"jsonrpc": "2.0", "id": req_id,
"result": {
"protocolVersion": request.get("params", {}).get(
"protocolVersion", "2024-11-05"),
"capabilities": {"tools": {}},
"serverInfo": {"name": SERVER_NAME,
"version": SERVER_VERSION}}}
if method in ("notifications/initialized", "notifications/cancelled"):
return None
if method == "ping":
if is_notification:
return None
return {"jsonrpc": "2.0", "id": req_id, "result": {}}
if method == "tools/list":
if is_notification:
return None
return {"jsonrpc": "2.0", "id": req_id,
"result": {"tools": _TOOLS}}
if method == "tools/call":
if is_notification:
return None
params = request.get("params") or {}
name = params.get("name")
args = params.get("arguments") or {}
try:
if name == "image_generate":
result = generate_fn(
args.get("prompt"),
output_filename=args.get("output_filename"),
size=args.get("size", "1024x1024"),
model=args.get("model"))
else:
return {"jsonrpc": "2.0", "id": req_id,
"error": _err(-32602, "unknown tool: %r" % name)}
except Exception as exc: # noqa: BLE001 - tool errors are data
# ImageGenError messages are key-free by construction
# in imagegen.py; other exceptions are rendered as
# type + message, never with env or headers.
return {"jsonrpc": "2.0", "id": req_id,
"result": {"content": [{"type": "text",
"text": "error: %s" % exc}],
"isError": True}}
return {"jsonrpc": "2.0", "id": req_id,
"result": {"content": [{"type": "text",
"text": json.dumps(
result, ensure_ascii=False)}],
"isError": False}}
if is_notification:
return None
return {"jsonrpc": "2.0", "id": req_id,
"error": _err(-32601, "method not found: %r" % method)}
def main():
for line in sys.stdin:
line = line.strip()
if not line:
continue
try:
request = json.loads(line)
except json.JSONDecodeError as exc:
sys.stdout.write(json.dumps(
{"jsonrpc": "2.0", "id": None,
"error": _err(-32700, "parse error: %s" % exc)}) + "\n")
sys.stdout.flush()
continue
try:
response = handle_request(request)
except Exception as exc: # noqa: BLE001 - server must not die
print("imagegen_mcp: handler error: %s" % exc, file=sys.stderr)
if "id" in request:
response = {"jsonrpc": "2.0", "id": request["id"],
"error": _err(-32603, "internal error")}
else:
response = None
if response is not None:
sys.stdout.write(json.dumps(response) + "\n")
sys.stdout.flush()
if __name__ == "__main__":
main()