feat(file_tools): 添加解析JSON或文本文件的新工具

新增 parse_json 工具，用于读取 txt 或 json 文件内容并智能解析。
工具优先尝试将内容解析为JSON，返回结构化数据；若解析失败则作为纯文本返回。
同时更新项目版本号至 0.1.3。

file_tools/file_tools/tools.py

@@ -120,6 +120,24 @@ tools: List[Tool] = [
             },
             "required": ["file_path"]
         }
+    ),
+    Tool(
+        name="parse_json",
+        description="读取txt或json文件内容，优先按JSON解析并返回结构化数据",
+        inputSchema={
+            "type": "object",
+            "properties": {
+                "file": {
+                    "type": "object",
+                    "properties": {
+                        "name": {"type": "string"},
+                        "content_base64": {"type": "string"}
+                    }
+                },
+                "file_path": {"type": "string"}
+            },
+            "required": []
+        }
     )
 ]
 
@@ -430,6 +448,49 @@ def _build_path_data_uri(arguments: Dict[str, Any]) -> str:
     return _build_data_uri(data, mime_type)
 
 
+def _build_txt_or_json_result(data: bytes, name: Optional[str]) -> str:
+    text = data.decode("utf-8-sig")
+    try:
+        parsed = json.loads(text)
+        return json.dumps(
+            {
+                "type": "json",
+                "name": name,
+                "data": parsed
+            },
+            ensure_ascii=False
+        )
+    except json.JSONDecodeError:
+        return json.dumps(
+            {
+                "type": "text",
+                "name": name,
+                "data": text
+            },
+            ensure_ascii=False
+        )
+
+
+async def _parse_json(arguments: Dict[str, Any]) -> str:
+    raw_file_path = str(arguments.get("file_path", ""))
+    file_path = raw_file_path.strip().strip("`").strip()
+    if _is_url(file_path):
+        async with httpx.AsyncClient(follow_redirects=True, timeout=20) as client:
+            response = await client.get(file_path)
+            response.raise_for_status()
+            name = Path(urlparse(file_path).path).name or None
+            return _build_txt_or_json_result(response.content, name)
+
+    if file_path and file_path != arguments.get("file_path"):
+        arguments = dict(arguments)
+        arguments["file_path"] = file_path
+
+    file_info, data, _ = _extract_file_payload(arguments)
+    if data is None:
+        raise ValueError("missing file content")
+    return _build_txt_or_json_result(data, file_info.get("name"))
+
+
 async def _build_url_data_uri(arguments: Dict[str, Any]) -> str:
     url = arguments.get("url")
     if not url:
@@ -519,6 +580,8 @@ async def handle_call_tool(name: str, arguments: Dict[str, Any]) -> List[TextCon
             if not file_path:
                 raise ValueError("missing file_path")
             result = await asyncio.to_thread(_upload_file_to_minio_sync, file_path)
+        elif name == "parse_json":
+            result = await _parse_json(arguments)
         else:
             raise ValueError(f"unknown tool name: {name}")
         return [TextContent(type="text", text=result)]

file_tools/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "lzwcai-file-tools-mcp"
-version = "0.1.1"
+version = "0.1.3"
 description = "File tools MCP server"
 requires-python = ">=3.10"
 dependencies = [