config: add glama.json

Dockerfile

@@ -0,0 +1,18 @@
+FROM python:3.11.11-slim
+
+RUN pip install uv
+
+WORKDIR /app
+
+COPY . /app
+
+ENV FLOWS='[ \
+  { \
+    "flow_id": "id1", \
+    "name": "flow1", \
+    "description": "desc1", \
+    "api_key": "key1:secret1" \
+  } \
+]'
+
+CMD ["uv", "run", "python", "./src/mcp_server/server.py"]

README.md

@@ -73,6 +73,20 @@ Before using the mcp server, you should prepare a config.yaml to save your workf
   api_key: 'API Key:API Secret'   # required
 ```
 
+### Set workflow info in Environment Variable
+You can also choose to set workflow info in environment variables. For example, configure environment variables in Dockerfile:
+```Dokerfile
+ENV FLOWS='[ \
+  { \
+    "flow_id": "id1", \
+    "name": "flow1", \
+    "description": "desc1", \
+    "api_key": "key1:secret1" \
+  } \
+]'
+```
+
+
 #### Get workflow authentication information
 1. [Create a bot](https://xinghuo.xfyun.cn/botcenter/createbot)
 ![](./images/create_workflow.png)

glama.json

@@ -0,0 +1,6 @@
+{
+  "$schema": "https://glama.ai/mcp/schemas/server.json",
+  "maintainers": [
+    "iflytek"
+  ]
+}

src/mcp_server/entities/ifly_client.py

@@ -21,16 +21,22 @@ class SysTool(Enum):
 class IFlyWorkflowClient(ABC):
     base_url = "https://xingchen-api.xf-yun.com"
 
-    def __init__(self, config_path: str = os.getenv("CONFIG_PATH")):
+    def __init__(self, config_path: str = os.getenv("CONFIG_PATH"), env_config: str = os.getenv("FLOWS")):
         """
         init
         :param config_path: config path，default is CONFIG_PATH
         """
-        if not config_path:
-            raise ValueError("CONFIG_PATH is not set")
-
-        with open(config_path, 'r', encoding='utf-8') as file:
-            self.flows = [Flow(**flow) for flow in yaml.safe_load(file)]
+        self.flows = []
+        if config_path:
+            with open(config_path, 'r', encoding='utf-8') as file:
+                for flow in yaml.safe_load(file):
+                    self.flows.append(Flow(**flow))
+        if env_config:
+            flows = json.loads(env_config)
+            for flow in flows:
+                self.flows.append(Flow(**flow))
+        if len(self.flows) == 0:
+            raise Exception("Unable to find config in CONFIG_PATH or environment variables.")
         self.name_idx: Dict[str, int] = {}
 
         # get flow info