RAGandLLM-MCP

Instructions

Implementation Reference

• src/ragandllm_mcp/server.py:36-56 (handler)

  The main handler function for the 'register_choka' tool. It constructs a JSON payload with fish_id, fish_name, fish_size, and fish_count, sends a POST request to the '/choka' API endpoint, and returns the JSON response.

  async def register_choka(fish_id: str, fish_name: str, fish_size: str,fish_count:int) -> str:
      headers={
          "Content-Type":"application/json;charset=utf-8"
      }
      # 送信するJSONボディを組み立て
      body = {
          "FishID": fish_id,
          "FishName": fish_name,
          "Size": fish_size,
          "FishCount": fish_count,
      }
      async with httpx.AsyncClient(timeout=80.0,verify=False) as client:
          response = await client.post(
              f"{API_BASE_URL}/choka",
              headers=headers,
              json=body
          )
          response.raise_for_status()
          data = response.json()
          return data

• src/ragandllm_mcp/server.py:121-146 (registration)

  Registers the 'register_choka' tool in the MCP server's list_tools() handler, including name, description, and input schema.

  types.Tool(
      name="register_choka",
      description="釣果登録が行えます",
      inputSchema={
          "type": "object",
          "properties": {
              "FishID": {
                  "type": "string",
                  "description": "upload_fileの応答JSONにあるFishIDを使用する。upload_fileを事前に実行していいない場合はユーザによる指定が必要"
              },
              "FishName": {
                  "type": "string",
                  "description": "upload_fileの応答JSONにあるFishNameを使用する。upload_fileを事前に実行していいない場合はユーザによる指定が必要"
              },
              "FishSize": {
                  "type": "string",
                  "description": "釣果登録時、魚の体長をセンチメートルで指定する"
              },
              "FishCount": {
                  "type": "integer",
                  "description": "釣果登録時、釣った魚の数を指定する。"
              }
          },
          "required": ["FishID","FishName","FishSize","FishCount"]
      }
  )

• src/ragandllm_mcp/server.py:124-145 (schema)

  Input JSON schema for the 'register_choka' tool, defining required string fields for FishID, FishName, FishSize and integer FishCount.

  inputSchema={
      "type": "object",
      "properties": {
          "FishID": {
              "type": "string",
              "description": "upload_fileの応答JSONにあるFishIDを使用する。upload_fileを事前に実行していいない場合はユーザによる指定が必要"
          },
          "FishName": {
              "type": "string",
              "description": "upload_fileの応答JSONにあるFishNameを使用する。upload_fileを事前に実行していいない場合はユーザによる指定が必要"
          },
          "FishSize": {
              "type": "string",
              "description": "釣果登録時、魚の体長をセンチメートルで指定する"
          },
          "FishCount": {
              "type": "integer",
              "description": "釣果登録時、釣った魚の数を指定する。"
          }
      },
      "required": ["FishID","FishName","FishSize","FishCount"]
  }

• src/ragandllm_mcp/server.py:233-251 (handler)

  Dispatch handler in the main @server.call_tool() function that extracts arguments, calls the register_choka function, and returns the result as TextContent.

  elif name == "register_choka":
  
      if not isinstance(arguments, dict):
          raise ValueError("Invalid forecast arguments")
      
      fish_id=arguments["FishID"]
      fish_name=arguments["FishName"]
      fish_size=arguments["FishSize"]
      fish_count=arguments["FishCount"]
      try:
          answer= await register_choka(fish_id,fish_name,fish_size,fish_count)
          return [
              types.TextContent(
                  type="text",
                  text=json.dumps(answer,ensure_ascii=False, indent=2)
                  #text=f"🎉 IRIS接続成功！\n📥 応答:：{msg}"
              )
          ]