diff --git a/.env.example b/.env.example
index c047b8e4..5ec9c455 100644
--- a/.env.example
+++ b/.env.example
@@ -73,3 +73,8 @@ WEATHER_API_KEY= # 心知天气API密钥，从 https://www.sen
# XXAPI API 配置
# ================================
XXAPI_API_TOKEN= # XXAPI Token，前往 https://xxapi.cn 获取
+
+# ================================
+# MCP (Model Context Protocol) 配置
+# ================================
+MCP_CONFIG_PATH=config/mcp.json # MCP 配置文件路径（相对于工作目录）
diff --git a/.gitignore b/.gitignore
index 46911b50..2de9f3ce 100644
--- a/.gitignore
+++ b/.gitignore
@@ -43,4 +43,11 @@ AGENTS.md
.DS_Store
.claude/
-config.local.json
\ No newline at end of file
+config.local.json
+
+.vscode
+.ruff_cache
+dist/
+
+# MCP 配置
+config/mcp.json
\ No newline at end of file
diff --git a/README.md b/README.md
index fc6a5166..ee78978f 100644
--- a/README.md
+++ b/README.md
@@ -23,6 +23,33 @@
### _与 [NagaAgent](https://github.com/Xxiii8322766509/NagaAgent) 进行联动！_
+---
+
+
+目录
+
+- [立即体验](#立即体验)
+- [核心特性](#核心特性)
+- [安装与部署](#安装与部署)
+ - [方式一：使用 pip 安装（推荐）](#方式一使用-pip-安装推荐)
+ - [方式二：源码部署（开发）](#方式二源码部署开发)
+ - [配置说明（通用）](#配置说明通用)
+ - [MCP 配置](#mcp-配置)
+- [使用说明](#使用说明)
+ - [部署后的初始化](#部署后的初始化)
+ - [Agent 能力展示](#agent-能力展示)
+ - [管理员命令](#管理员命令)
+ - [消息优先级](#消息优先级)
+- [目录结构](#目录结构)
+- [扩展与开发](#扩展与开发)
+- [致谢与友链](#致谢与友链)
+ - [NagaAgent](#nagaagent)
+- [开源协议](#开源协议)
+
+
+
+---
+
## 立即体验
[点击添加官方实例QQ](https://qm.qq.com/q/cvjJoNysGA)
@@ -33,6 +60,7 @@
- **并行工具执行**：无论是主 AI 还是子 Agent，均支持 `asyncio` 并发工具调用，大幅提升多任务处理速度（如同时读取多个文件或搜索多个关键词）。
- **智能 Agent 矩阵**：内置多个专业 Agent，分工协作处理复杂任务。
- **定时任务系统**：支持 Crontab 语法的强大定时任务系统，可自动执行各种操作（如定时提醒、定时搜索）。
+- **MCP 协议支持**：支持通过 MCP (Model Context Protocol) 连接外部工具和数据源，扩展 AI 能力。
- **思维链支持**：支持开启思维链，提升复杂逻辑推理能力。
- **高并发架构**：基于 `asyncio` 全异步设计，支持多队列消息处理与工具并发执行，轻松应对高并发场景。
- **安全防护**：内置独立的安全模型，实时检测注入攻击与恶意内容。
@@ -132,6 +160,69 @@ uv run -m Undefined
> 启动项目需要 OneBot 实例，推荐使用 [NapCat](https://napneko.github.io/)。
+### MCP 配置
+
+Undefined 支持 MCP (Model Context Protocol) 协议，可以连接外部 MCP 服务器来扩展 AI 的工具能力。
+
+#### 配置步骤
+
+1. 复制 MCP 配置示例文件：
+ ```bash
+ cp config/mcp.json.example config/mcp.json
+ ```
+
+2. 编辑 `config/mcp.json`，根据 MCP 服务器说明使用标准格式添加你需要的 MCP 服务器
+
+3. 在 `.env` 中设置 MCP 配置文件路径（可选，默认为 `config/mcp.json`）：
+ ```env
+ MCP_CONFIG_PATH=config/mcp.json
+ ```
+
+#### 使用方式
+
+配置完成后，AI 会自动加载 MCP 工具，工具名称格式为 `mcp.{server_name}.{tool_name}`。
+
+例如，配置了 `filesystem` 服务器后，AI 可以使用 `mcp.filesystem.read_file` 等工具。
+
+#### 内置可用的 MCP 服务器
+
+> 需确保本地安装了 `nodejs` 以及 `npm`。
+> 更多服务器请自行配置。
+> 推荐：可前往 [mcp.so - Find Awesome MCP Servers and Clients](https://mcp.so) 检索感兴趣的 mcp。
+
+- [@upstash/context7-mcp](https://github.com/upstash/context7)：获取最新的代码库文档和示例
+- [howtocook-mcp](https://github.com/ModelCloud/howtocook-mcp)：烹饪食谱查询
+
+#### 配置格式
+
+```json
+{
+ "mcpServers": {
+ "filesystem": {
+ "command": "cmd"
+ "args": ["arg1", "arg2"]
+ }
+ }
+}
+```
+
+如需添加多个，仅需在`mcpServers`键下添加子键。
+
+
+配置示例
+
+```json
+{
+ "mcpServers": {
+ "filesystem": {
+ "command": "npx",
+ "args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/files"]
+ }
+ }
+}
+```
+
+
## 使用说明
### 部署后的初始化
diff --git a/config/mcp.json.example b/config/mcp.json.example
new file mode 100644
index 00000000..a8de3559
--- /dev/null
+++ b/config/mcp.json.example
@@ -0,0 +1,12 @@
+{
+ "mcpServers": {
+ "context7": {
+ "command": "npx",
+ "args": ["-y", "@upstash/context7-mcp"]
+ },
+ "howtocook-mcp": {
+ "command": "npx",
+ "args": ["-y", "howtocook-mcp"]
+ }
+ }
+}
diff --git a/pyproject.toml b/pyproject.toml
index 4c2f6148..a238e485 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -37,6 +37,7 @@ dependencies = [
"openpyxl>=3.1.5",
"py7zr>=1.1.0",
"rarfile>=4.2",
+ "fastmcp>=2.14.4",
]
[project.urls]
diff --git a/src/Undefined/ai.py b/src/Undefined/ai.py
index 16220d59..2525277e 100644
--- a/src/Undefined/ai.py
+++ b/src/Undefined/ai.py
@@ -140,12 +140,31 @@ def __init__(
)
self._tokenizer = None
+ # 异步初始化 MCP 工具集（在后台任务中完成）
+ async def init_mcp_async() -> None:
+ try:
+ await self.tool_registry.initialize_mcp_toolsets()
+ except Exception as e:
+ logger.warning(f"异步初始化 MCP 工具集失败: {e}")
+
+ # 创建后台任务初始化 MCP
+ self._mcp_init_task = asyncio.create_task(init_mcp_async())
+
logger.info("[初始化] AIClient 初始化完成")
async def close(self) -> None:
- """关闭 HTTP 客户端"""
+ """关闭 HTTP 客户端和 MCP 连接"""
logger.info("[清理] 正在关闭 AIClient HTTP 客户端...")
await self._http_client.aclose()
+
+ # 关闭 MCP 工具集连接
+ if hasattr(self, "tool_registry"):
+ await self.tool_registry.close_mcp_toolsets()
+
+ # 等待 MCP 初始化任务完成（如果还在运行）
+ if hasattr(self, "_mcp_init_task") and not self._mcp_init_task.done():
+ await self._mcp_init_task
+
logger.info("[清理] AIClient 已关闭")
def count_tokens(self, text: str) -> int:
diff --git a/src/Undefined/skills/tools/__init__.py b/src/Undefined/skills/tools/__init__.py
index 1776d801..32f5b7f0 100644
--- a/src/Undefined/skills/tools/__init__.py
+++ b/src/Undefined/skills/tools/__init__.py
@@ -1,9 +1,12 @@
import logging
from pathlib import Path
-from typing import Dict, Any, List
+from typing import Dict, Any, List, TYPE_CHECKING
from ..registry import BaseRegistry
+if TYPE_CHECKING:
+ from ..toolsets.mcp import MCPToolSetRegistry
+
logger = logging.getLogger(__name__)
@@ -17,11 +20,14 @@ def __init__(self, tools_dir: str | Path | None = None):
super().__init__(tools_path)
+ # 初始化 MCP 工具集注册表
+ self._mcp_registry: MCPToolSetRegistry | None = None
+
# 自动加载
self.load_tools()
def load_tools(self) -> None:
- """从 tools 目录发现并加载工具，同时也加载 toolsets。"""
+ """从 tools 目录发现并加载工具，同时也加载 toolsets 和 MCP 工具集。"""
# 1. 加载 tools 目录下的非分类工具
self.load_items()
@@ -30,10 +36,24 @@ def load_tools(self) -> None:
self.toolsets_dir = self.base_dir.parent / "toolsets"
self._load_toolsets_recursive()
- # 3. 输出详细的工具列表
+ # 3. 加载 MCP 工具集（创建注册表，但不初始化）
+ self._load_mcp_toolsets()
+
+ # 4. 输出工具列表（不包含 MCP 工具，因为 MCP 还未初始化）
+ self._log_tools_summary(include_mcp=False)
+
+ def _log_tools_summary(self, include_mcp: bool = True) -> None:
+ """输出工具加载统计
+
+ 参数:
+ include_mcp: 是否包含 MCP 工具
+ """
tool_names = list(self._items_handlers.keys())
basic_tools = [name for name in tool_names if "." not in name]
- toolset_tools = [name for name in tool_names if "." in name]
+ toolset_tools = [
+ name for name in tool_names if "." in name and not name.startswith("mcp.")
+ ]
+ mcp_tools = [name for name in tool_names if name.startswith("mcp.")]
# 按 toolsets 分类整理
toolset_by_category: Dict[str, List[str]] = {}
@@ -43,17 +63,27 @@ def load_tools(self) -> None:
toolset_by_category[category] = []
toolset_by_category[category].append(name)
- logger.info("=" * 60)
- logger.info("工具加载完成统计")
- logger.info(
- f" - 基础工具 ({len(basic_tools)} 个): {', '.join(basic_tools) if basic_tools else '无'}"
- )
- if toolset_by_category:
- logger.info(f" - 工具集工具 ({len(toolset_tools)} 个):")
- for category, tools in sorted(toolset_by_category.items()):
- logger.info(f" [{category}] ({len(tools)} 个): {', '.join(tools)}")
- logger.info(f" - 总计: {len(tool_names)} 个工具")
- logger.info("=" * 60)
+ if mcp_tools and include_mcp:
+ logger.info("=" * 60)
+ if include_mcp:
+ logger.info("工具加载完成统计")
+ else:
+ logger.info("工具加载完成统计（MCP 工具待初始化）")
+ logger.info(
+ f" - 基础工具 ({len(basic_tools)} 个): {', '.join(basic_tools) if basic_tools else '无'}"
+ )
+ if toolset_by_category:
+ logger.info(f" - 工具集工具 ({len(toolset_tools)} 个):")
+ for category, tools in sorted(toolset_by_category.items()):
+ logger.info(
+ f" [{category}] ({len(tools)} 个): {', '.join(tools)}"
+ )
+ # if mcp_tools and include_mcp:
+ logger.info(f" - MCP 工具 ({len(mcp_tools)} 个): {', '.join(mcp_tools)}")
+ # elif not include_mcp and hasattr(self, "_mcp_registry") and self._mcp_registry:
+ # logger.info(" - MCP 工具: (等待异步初始化...)")
+ logger.info(f" - 总计: {len(tool_names)} 个工具")
+ logger.info("=" * 60)
def _load_toolsets_recursive(self) -> None:
"""从 toolsets 目录发现并加载工具集。
@@ -80,6 +110,53 @@ def _load_toolsets_recursive(self) -> None:
# 使用基类方法加载，指定前缀
self._load_item_from_dir(tool_dir, prefix=f"{category_name}.")
+ def _load_mcp_toolsets(self) -> None:
+ """加载 MCP 工具集（创建注册表，但不初始化）"""
+ try:
+ from ..toolsets.mcp import MCPToolSetRegistry
+
+ # 创建 MCP 工具集注册表
+ self._mcp_registry = MCPToolSetRegistry()
+ logger.info("MCP 工具集注册表已创建（待初始化）")
+
+ except ImportError as e:
+ logger.warning(f"无法导入 MCP 工具集注册表: {e}")
+ self._mcp_registry = None
+
+ async def initialize_mcp_toolsets(self) -> None:
+ """异步初始化 MCP 工具集
+
+ 需要在 AIClient 初始化后调用。
+ """
+ if hasattr(self, "_mcp_registry") and self._mcp_registry:
+ try:
+ await self._mcp_registry.initialize()
+
+ # 将 MCP 工具添加到主注册表
+ for schema in self._mcp_registry.get_tools_schema():
+ self._items_schema.append(schema)
+
+ for tool_name, handler in self._mcp_registry._tools_handlers.items():
+ self._items_handlers[tool_name] = handler
+
+ logger.info(
+ f"MCP 工具集已集成到主注册表，共 {len(self._mcp_registry._tools_handlers)} 个工具"
+ )
+
+ # 输出包含 MCP 工具的完整统计
+ self._log_tools_summary(include_mcp=True)
+
+ except Exception as e:
+ logger.exception(f"初始化 MCP 工具集失败: {e}")
+
+ async def close_mcp_toolsets(self) -> None:
+ """关闭 MCP 工具集连接"""
+ if hasattr(self, "_mcp_registry") and self._mcp_registry:
+ try:
+ await self._mcp_registry.close()
+ except Exception as e:
+ logger.warning(f"关闭 MCP 工具集时出错: {e}")
+
# --- 兼容性别名 ---
def get_tools_schema(self) -> List[Dict[str, Any]]:
diff --git a/src/Undefined/skills/toolsets/mcp/README.md b/src/Undefined/skills/toolsets/mcp/README.md
new file mode 100644
index 00000000..5cbcc738
--- /dev/null
+++ b/src/Undefined/skills/toolsets/mcp/README.md
@@ -0,0 +1,172 @@
+# MCP (Model Context Protocol) 工具集
+
+MCP 工具集允许 Undefined 机器人连接外部 MCP 服务器，扩展 AI 的工具能力。
+
+## 架构
+
+MCP 工具集通过 `MCPToolSetRegistry` 实现，负责：
+
+1. 加载 MCP 配置文件（`config/mcp.json`）
+2. 连接配置的 MCP 服务器
+3. 获取服务器提供的工具列表
+4. 将 MCP 工具转换为 toolsets 格式
+5. 集成到主工具注册表中
+
+## 工具命名
+
+MCP 工具的命名格式为：`mcp.{server_name}.{tool_name}`
+
+例如：
+- `mcp.filesystem.read_file`
+- `mcp.brave-search.search`
+- `mcp.sqlite.query`
+
+## 配置
+
+### MCP 配置文件格式
+
+```json
+{
+ "mcpServers": {
+ "server_name": {
+ "command": "npx",
+ "args": ["-y", "@modelcontextprotocol/server-name", "arg1", "arg2"]
+ }
+ }
+}
+```
+
+### 环境变量
+
+- `MCP_CONFIG_PATH`：MCP 配置文件路径（默认：`config/mcp.json`）
+
+## 使用示例
+
+### 1. 文件系统访问
+
+```json
+{
+ "mcpServers": {
+ "filesystem": {
+ "command": "npx",
+ "args": ["-y", "@modelcontextprotocol/server-filesystem", "/home/user/data"]
+ }
+ }
+}
+```
+
+AI 可以使用：
+- `mcp.filesystem.read_file`：读取文件
+- `mcp.filesystem.write_file`：写入文件
+- `mcp.filesystem.list_directory`：列出目录
+
+### 2. Web 搜索
+
+```json
+{
+ "mcpServers": {
+ "brave-search": {
+ "command": "npx",
+ "args": ["-y", "@modelcontextprotocol/server-brave-search"]
+ }
+ }
+}
+```
+
+AI 可以使用：
+- `mcp.brave-search.search`：执行搜索
+
+### 3. 数据库查询
+
+```json
+{
+ "mcpServers": {
+ "sqlite": {
+ "command": "npx",
+ "args": ["-y", "@modelcontextprotocol/server-sqlite", "--db-path", "/path/to/db.sqlite"]
+ }
+ }
+}
+```
+
+AI 可以使用：
+- `mcp.sqlite.query`：执行 SQL 查询
+
+### 4. GitHub API
+
+```json
+{
+ "mcpServers": {
+ "github": {
+ "command": "npx",
+ "args": ["-y", "@modelcontextprotocol/server-github"]
+ }
+ }
+}
+```
+
+### 5. 代码文档查询 (Context7)
+
+```json
+{
+ "mcpServers": {
+ "context7": {
+ "command": "npx",
+ "args": ["-y", "@upstash/context7-mcp"]
+ }
+ }
+}
+```
+
+### 6. 烹饪食谱查询 (HowToCook)
+
+```json
+{
+ "mcpServers": {
+ "howtocook": {
+ "command": "npx",
+ "args": ["-y", "howtocook-mcp"]
+ }
+ }
+}
+```
+
+AI 可以使用：
+- `mcp.howtocook.get_recipe`：获取烹饪食谱
+- `mcp.howtocook.search_ingredients`：搜索食材
+
+## 注意事项
+
+1. **依赖安装**：使用 MCP 功能需要安装 `fastmcp` 库
+2. **Node.js 要求**：某些 MCP 服务器需要 Node.js 环境
+3. **安全性**：配置文件包含敏感信息，已添加到 `.gitignore`
+4. **性能**：MCP 工具调用需要网络或进程间通信，可能较慢
+5. **错误处理**：MCP 服务器不可用时会优雅降级，不影响其他功能
+
+## 故障排除
+
+### MCP 工具未加载
+
+1. 检查 `fastmcp` 是否安装：`pip list | grep fastmcp`
+2. 检查配置文件路径是否正确
+3. 查看日志中的错误信息
+
+### MCP 工具调用失败
+
+1. 检查 MCP 服务器是否正常运行
+2. 检查工具参数是否正确
+3. 查看日志中的详细错误信息
+
+### Node.js 相关问题
+
+如果使用基于 Node.js 的 MCP 服务器：
+
+1. 确保已安装 Node.js：`node --version`
+2. 确保 `npx` 可用：`npx --version`
+3. 检查网络连接（首次运行需要下载包）
+
+## 更多资源
+
+- [MCP 官方文档](https://modelcontextprotocol.io/)
+- [MCP Servers 仓库](https://github.com/modelcontextprotocol/servers)
+- [fastmcp 文档](https://github.com/jlowin/fastmcp)
\ No newline at end of file
diff --git a/src/Undefined/skills/toolsets/mcp/__init__.py b/src/Undefined/skills/toolsets/mcp/__init__.py
new file mode 100644
index 00000000..d2768835
--- /dev/null
+++ b/src/Undefined/skills/toolsets/mcp/__init__.py
@@ -0,0 +1,264 @@
+"""MCP (Model Context Protocol) 工具集注册表
+
+将 MCP 服务器转换为 toolsets，使 AI 可以调用 MCP 提供的工具。
+"""
+
+import json
+import logging
+import asyncio
+from pathlib import Path
+from typing import Dict, Any, List, Callable, Awaitable, cast
+
+logger = logging.getLogger(__name__)
+
+
+class MCPToolSetRegistry:
+ """MCP 工具集注册表
+
+ 负责加载 MCP 配置，连接 MCP 服务器，并将 MCP 工具转换为 toolsets 格式。
+ """
+
+ def __init__(self, config_path: str | Path | None = None) -> None:
+ """
+ 初始化 MCP 工具集注册表。
+
+ 参数:
+ config_path: MCP 配置文件路径。如果为 None，则尝试从环境变量读取。
+ """
+ if config_path is None:
+ import os
+
+ config_path = os.getenv("MCP_CONFIG_PATH", "config/mcp.json")
+
+ self.config_path: Path = Path(config_path)
+ self._tools_schema: List[Dict[str, Any]] = []
+ self._tools_handlers: Dict[
+ str, Callable[[Dict[str, Any], Dict[str, Any]], Awaitable[str]]
+ ] = {}
+ self._mcp_client: Any = None
+ self._mcp_servers: Dict[str, Any] = {} # 保存服务器配置
+ self._is_initialized: bool = False
+
+ def load_mcp_config(self) -> Dict[str, Any]:
+ """加载 MCP 配置文件
+
+ 返回:
+ MCP 配置字典
+ """
+ if not self.config_path.exists():
+ logger.warning(f"MCP 配置文件不存在: {self.config_path}")
+ return {"mcpServers": {}}
+
+ try:
+ with open(self.config_path, "r", encoding="utf-8") as f:
+ config = json.load(f)
+ logger.info(f"已加载 MCP 配置: {self.config_path}")
+ return cast(Dict[str, Any], config)
+ except json.JSONDecodeError as e:
+ logger.error(f"MCP 配置文件格式错误: {e}")
+ return {"mcpServers": {}}
+ except Exception as e:
+ logger.error(f"加载 MCP 配置失败: {e}")
+ return {"mcpServers": {}}
+
+ async def initialize(self) -> None:
+ """初始化 MCP 工具集
+
+ 加载配置，连接 MCP 服务器，获取工具列表并转换为 toolsets 格式。
+ """
+ self._tools_schema = []
+ self._tools_handlers = {}
+
+ config = self.load_mcp_config()
+ mcp_servers = config.get("mcpServers", {})
+
+ if not mcp_servers:
+ logger.info("未配置 MCP 服务器")
+ self._is_initialized = True
+ return
+
+ # FastMCP 配置格式: mcpServers 是一个对象，键为服务器名称，值为配置
+ if not isinstance(mcp_servers, dict):
+ logger.error(
+ f"MCP 配置格式错误: mcpServers 应该是一个对象（字典），实际类型为 {type(mcp_servers).__name__}。"
+ '正确的格式: {"mcpServers": {"server_name": {"command": "...", "args": [...]}}}'
+ )
+ self._is_initialized = True
+ return
+
+ logger.info(f"开始初始化 {len(mcp_servers)} 个 MCP 服务器...")
+
+ # 保存服务器配置
+ self._mcp_servers = mcp_servers
+
+ try:
+ # 延迟导入 fastmcp
+ from fastmcp import Client
+
+ # 创建客户端，传入完整配置
+ self._mcp_client = Client(config)
+
+ # 连接并初始化
+ await self._mcp_client.__aenter__()
+
+ if not self._mcp_client.is_connected():
+ logger.warning("无法连接到 MCP 服务器")
+ self._is_initialized = True
+ return
+
+ # 获取所有工具列表
+ tools = await self._mcp_client.list_tools()
+
+ # 转换每个工具为 toolsets 格式
+ for tool in tools:
+ await self._register_tool(tool)
+
+ logger.info(f"MCP 工具集初始化完成，共加载 {len(tools)} 个工具")
+
+ except ImportError:
+ logger.error("fastmcp 库未安装，MCP 功能将不可用")
+ except Exception as e:
+ logger.exception(f"初始化 MCP 工具集失败: {e}")
+
+ self._is_initialized = True
+
+ async def _register_tool(self, tool: Any) -> None:
+ """注册单个 MCP 工具
+
+ 参数:
+ tool: MCP 工具对象
+ """
+ try:
+ # 获取工具信息
+ tool_name = tool.name
+ tool_description = tool.description or ""
+
+ # 构建工具参数 schema
+ parameters = tool.inputSchema if hasattr(tool, "inputSchema") else {}
+
+ # FastMCP 的行为：
+ # - 单服务器：工具名不带前缀（如 resolve-library-id）
+ # - 多服务器：工具名带服务器前缀（如 context7_resolve-library-id）
+ server_name = None
+ actual_tool_name = tool_name
+
+ # 检查工具名是否包含服务器前缀
+ for name in self._mcp_servers.keys():
+ if tool_name.startswith(f"{name}_"):
+ server_name = name
+ # 提取实际的工具名（去掉服务器前缀）
+ actual_tool_name = tool_name[len(name) + 1 :]
+ break
+
+ # 如果只有一个服务器且工具名没有前缀，使用该服务器名
+ if server_name is None and len(self._mcp_servers) == 1:
+ server_name = list(self._mcp_servers.keys())[0]
+ # FastMCP 调用时使用原始工具名（不带前缀）
+ original_tool_name = tool_name
+ elif server_name:
+ # 多服务器，工具名已包含前缀
+ original_tool_name = tool_name
+ else:
+ # 无法确定服务器，直接使用原始工具名
+ original_tool_name = tool_name
+
+ # 构建完整的工具名称：mcp.{server_name}.{tool_name}
+ if server_name:
+ full_tool_name = f"mcp.{server_name}.{actual_tool_name}"
+ else:
+ full_tool_name = f"mcp.{actual_tool_name}"
+
+ # 构建 OpenAI function calling 格式的 schema
+ schema = {
+ "type": "function",
+ "function": {
+ "name": full_tool_name,
+ "description": f"[MCP] {tool_description}",
+ "parameters": parameters,
+ },
+ }
+
+ # 创建异步处理器
+ async def handler(args: Dict[str, Any], context: Dict[str, Any]) -> str:
+ """MCP 工具处理器"""
+ try:
+ # 调用 MCP 工具（使用 FastMCP 期望的工具名）
+ result = await self._mcp_client.call_tool(original_tool_name, args)
+
+ # 解析结果
+ if hasattr(result, "content") and result.content:
+ # 提取文本内容
+ text_parts = []
+ for item in result.content:
+ if hasattr(item, "text"):
+ text_parts.append(item.text)
+ return "\n".join(text_parts) if text_parts else str(result)
+ else:
+ return str(result)
+
+ except Exception as e:
+ logger.exception(f"调用 MCP 工具 {full_tool_name} 失败: {e}")
+ return f"调用 MCP 工具失败: {str(e)}"
+
+ # 注册工具
+ self._tools_schema.append(schema)
+ self._tools_handlers[full_tool_name] = handler
+
+ logger.debug(
+ f"已注册 MCP 工具: {full_tool_name} (原始: {original_tool_name})"
+ )
+
+ except Exception as e:
+ logger.error(f"注册 MCP 工具失败 [{tool.name}]: {e}")
+
+ def get_tools_schema(self) -> List[Dict[str, Any]]:
+ """获取所有 MCP 工具的 Schema"""
+ return self._tools_schema
+
+ async def execute_tool(
+ self,
+ tool_name: str,
+ args: Dict[str, Any],
+ context: Dict[str, Any],
+ ) -> str:
+ """执行指定的 MCP 工具
+
+ 参数:
+ tool_name: 工具名称（格式：mcp.{server_name}_{tool_name}）
+ args: 工具参数
+ context: 执行上下文
+
+ 返回:
+ 工具执行结果
+ """
+ handler = self._tools_handlers.get(tool_name)
+ if not handler:
+ return f"未找到 MCP 工具: {tool_name}"
+
+ try:
+ start_time = asyncio.get_event_loop().time()
+ result = await handler(args, context)
+ duration = asyncio.get_event_loop().time() - start_time
+ logger.info(f"[MCP工具执行] {tool_name} 耗时={duration:.4f}s")
+ return str(result)
+ except Exception as e:
+ logger.exception(f"[MCP工具异常] 执行工具 {tool_name} 时出错")
+ return f"执行 MCP 工具 {tool_name} 时出错: {str(e)}"
+
+ async def close(self) -> None:
+ """关闭 MCP 客户端连接"""
+ logger.info("正在关闭 MCP 客户端连接...")
+ if self._mcp_client:
+ try:
+ # 手动调用 context manager 的退出方法
+ await self._mcp_client.__aexit__(None, None, None)
+ logger.debug("已关闭 MCP 客户端连接")
+ except Exception as e:
+ logger.warning(f"关闭 MCP 客户端连接时出错: {e}")
+ self._mcp_client = None
+ logger.info("MCP 客户端连接已关闭")
+
+ @property
+ def is_initialized(self) -> bool:
+ """检查是否已初始化"""
+ return self._is_initialized
diff --git a/src/Undefined/utils/common.py b/src/Undefined/utils/common.py
index 94381a91..f8136aa1 100644
--- a/src/Undefined/utils/common.py
+++ b/src/Undefined/utils/common.py
@@ -54,7 +54,7 @@ async def parse_message_content_for_history(
bot_qq: int,
get_msg_func: Callable[[int], Awaitable[dict[str, Any] | None]] | None = None,
) -> str:
- """解析消息内容用于历史记录（支持合并转发和 @ 格式化）
+ """解析消息内容用于历史记录（支持回复引用和 @ 格式化）
参数:
message_content: 消息内容列表
@@ -101,6 +101,7 @@ async def parse_message_content_for_history(
elif type_ == "forward":
msg_id = data.get("id")
if msg_id:
+ # 合并转发只保存简单标记，AI 可以通过 get_forward_msg 工具查看完整内容
texts.append(f"[合并转发: {msg_id}]")
elif type_ == "reply":
diff --git a/uv.lock b/uv.lock
index edf5b77e..654f7193 100644
--- a/uv.lock
+++ b/uv.lock
@@ -243,6 +243,18 @@ wheels = [
{ url = "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/3a/2a/7cc015f5b9f5db42b7d48157e23356022889fc354a2813c15934b7cb5c0e/attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373", size = 67615, upload-time = "2025-10-06T13:54:43.17Z" },
]
+[[package]]
+name = "authlib"
+version = "1.6.6"
+source = { registry = "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple/" }
+dependencies = [
+ { name = "cryptography" },
+]
+sdist = { url = "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/bb/9b/b1661026ff24bc641b76b78c5222d614776b0c085bcfdac9bd15a1cb4b35/authlib-1.6.6.tar.gz", hash = "sha256:45770e8e056d0f283451d9996fbb59b70d45722b45d854d58f32878d0a40c38e", size = 164894, upload-time = "2025-12-12T08:01:41.464Z" }
+wheels = [
+ { url = "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/54/51/321e821856452f7386c4e9df866f196720b1ad0c5ea1623ea7399969ae3b/authlib-1.6.6-py2.py3-none-any.whl", hash = "sha256:7d9e9bc535c13974313a87f53e8430eb6ea3d1cf6ae4f6efcd793f2e949143fd", size = 244005, upload-time = "2025-12-12T08:01:40.209Z" },
+]
+
[[package]]
name = "backports-asyncio-runner"
version = "1.2.0"
@@ -252,6 +264,15 @@ wheels = [
{ url = "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/a0/59/76ab57e3fe74484f48a53f8e337171b4a2349e506eabe136d7e01d059086/backports_asyncio_runner-1.2.0-py3-none-any.whl", hash = "sha256:0da0a936a8aeb554eccb426dc55af3ba63bcdc69fa1a600b5bb305413a4477b5", size = 12313, upload-time = "2025-07-02T02:27:14.263Z" },
]
+[[package]]
+name = "backports-tarfile"
+version = "1.2.0"
+source = { registry = "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple/" }
+sdist = { url = "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/86/72/cd9b395f25e290e633655a100af28cb253e4393396264a98bd5f5951d50f/backports_tarfile-1.2.0.tar.gz", hash = "sha256:d75e02c268746e1b8144c278978b6e98e85de6ad16f8e4b0844a154557eca991", size = 86406, upload-time = "2024-05-28T17:01:54.731Z" }
+wheels = [
+ { url = "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/b9/fa/123043af240e49752f1c4bd24da5053b6bd00cad78c2be53c0d1e8b975bc/backports.tarfile-1.2.0-py3-none-any.whl", hash = "sha256:77e284d754527b01fb1e6fa8a1afe577858ebe4e9dad8919e34c862cb399bc34", size = 30181, upload-time = "2024-05-28T17:01:53.112Z" },
+]
+
[[package]]
name = "backports-zstd"
version = "1.3.0"
@@ -357,6 +378,15 @@ wheels = [
{ url = "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/8d/ec/6247be6536668fe1c7dfae3eaa9c94b00b956b716957c0fc986ba78c3cc4/backports_zstd-1.3.0-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:2524bd6777a828d5e7ccd7bd1a57f9e7007ae654fc2bd1bc1a207f6428674e4a", size = 299684, upload-time = "2025-12-29T17:28:04.856Z" },
]
+[[package]]
+name = "beartype"
+version = "0.22.9"
+source = { registry = "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple/" }
+sdist = { url = "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/c7/94/1009e248bbfbab11397abca7193bea6626806be9a327d399810d523a07cb/beartype-0.22.9.tar.gz", hash = "sha256:8f82b54aa723a2848a56008d18875f91c1db02c32ef6a62319a002e3e25a975f", size = 1608866, upload-time = "2025-12-13T06:50:30.72Z" }
+wheels = [
+ { url = "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/71/cc/18245721fa7747065ab478316c7fea7c74777d07f37ae60db2e84f8172e8/beartype-0.22.9-py3-none-any.whl", hash = "sha256:d16c9bbc61ea14637596c5f6fbff2ee99cbe3573e46a716401734ef50c3060c2", size = 1333658, upload-time = "2025-12-13T06:50:28.266Z" },
+]
+
[[package]]
name = "beautifulsoup4"
version = "4.14.3"
@@ -448,6 +478,15 @@ wheels = [
{ url = "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/b5/d3/b07f8f125ac52bbee5dc00ef0d526f820f67321bf4184f915f17f50a4657/brotlicffi-1.2.0.0-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:3832c66e00d6d82087f20a972b2fc03e21cd99ef22705225a6f8f418a9158ecc", size = 374730, upload-time = "2025-11-21T18:17:56.334Z" },
]
+[[package]]
+name = "cachetools"
+version = "6.2.4"
+source = { registry = "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple/" }
+sdist = { url = "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/bc/1d/ede8680603f6016887c062a2cf4fc8fdba905866a3ab8831aa8aa651320c/cachetools-6.2.4.tar.gz", hash = "sha256:82c5c05585e70b6ba2d3ae09ea60b79548872185d2f24ae1f2709d37299fd607", size = 31731, upload-time = "2025-12-15T18:24:53.744Z" }
+wheels = [
+ { url = "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/2c/fc/1d7b80d0eb7b714984ce40efc78859c022cd930e402f599d8ca9e39c78a4/cachetools-6.2.4-py3-none-any.whl", hash = "sha256:69a7a52634fed8b8bf6e24a050fb60bff1c9bd8f6d24572b99c32d4e71e62a51", size = 11551, upload-time = "2025-12-15T18:24:52.332Z" },
+]
+
[[package]]
name = "certifi"
version = "2026.1.4"
@@ -661,6 +700,15 @@ wheels = [
{ url = "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/ae/5a/4f025bc751087833686892e17e7564828e409c43b632878afeae554870cd/click_log-0.4.0-py2.py3-none-any.whl", hash = "sha256:a43e394b528d52112af599f2fc9e4b7cf3c15f94e53581f74fa6867e68c91756" },
]
+[[package]]
+name = "cloudpickle"
+version = "3.1.2"
+source = { registry = "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple/" }
+sdist = { url = "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/27/fb/576f067976d320f5f0114a8d9fa1215425441bb35627b1993e5afd8111e5/cloudpickle-3.1.2.tar.gz", hash = "sha256:7fda9eb655c9c230dab534f1983763de5835249750e85fbcef43aaa30a9a2414", size = 22330, upload-time = "2025-11-03T09:25:26.604Z" }
+wheels = [
+ { url = "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/88/39/799be3f2f0f38cc727ee3b4f1445fe6d5e4133064ec2e4115069418a5bb6/cloudpickle-3.1.2-py3-none-any.whl", hash = "sha256:9acb47f6afd73f60dc1df93bb801b472f05ff42fa6c84167d25cb206be1fbf4a", size = 22228, upload-time = "2025-11-03T09:25:25.534Z" },
+]
+
[[package]]
name = "colorama"
version = "0.4.6"
@@ -1072,6 +1120,23 @@ wheels = [
{ url = "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/e7/05/c19819d5e3d95294a6f5947fb9b9629efb316b96de511b418c53d245aae6/cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30" },
]
+[[package]]
+name = "cyclopts"
+version = "4.5.0"
+source = { registry = "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple/" }
+dependencies = [
+ { name = "attrs" },
+ { name = "docstring-parser" },
+ { name = "rich" },
+ { name = "rich-rst" },
+ { name = "tomli", marker = "python_full_version < '3.11'" },
+ { name = "typing-extensions", marker = "python_full_version < '3.11'" },
+]
+sdist = { url = "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/13/7b/663f3285c1ac0e5d0854bd9db2c87caa6fa3d1a063185e3394a6cdca9151/cyclopts-4.5.0.tar.gz", hash = "sha256:717ac4235548b58d500baf7e688aa4d024caf0ee68f61a012ffd5e29db3099f9", size = 161980, upload-time = "2026-01-16T02:07:16.171Z" }
+wheels = [
+ { url = "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/12/a3/2e00fececc34a99ae3a5d5702a5dd29c5371e4ed016647301a2b9bcc1976/cyclopts-4.5.0-py3-none-any.whl", hash = "sha256:305b9aa90a9cd0916f0a450b43e50ad5df9c252680731a0719edfb9b20381bf5", size = 199772, upload-time = "2026-01-16T02:07:14.707Z" },
+]
+
[[package]]
name = "dataclasses-json"
version = "0.6.7"
@@ -1085,6 +1150,15 @@ wheels = [
{ url = "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/c3/be/d0d44e092656fe7a06b55e6103cbce807cdbdee17884a5367c68c9860853/dataclasses_json-0.6.7-py3-none-any.whl", hash = "sha256:0dbf33f26c8d5305befd61b39d2b3414e8a407bedc2834dea9b8d642666fb40a", size = 28686, upload-time = "2024-06-09T16:20:16.715Z" },
]
+[[package]]
+name = "diskcache"
+version = "5.6.3"
+source = { registry = "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple/" }
+sdist = { url = "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/3f/21/1c1ffc1a039ddcc459db43cc108658f32c57d271d7289a2794e401d0fdb6/diskcache-5.6.3.tar.gz", hash = "sha256:2c3a3fa2743d8535d832ec61c2054a1641f41775aa7c556758a109941e33e4fc" }
+wheels = [
+ { url = "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/3f/27/4570e78fc0bf5ea0ca45eb1de3818a23787af9b390c0b0a0033a1b8236f9/diskcache-5.6.3-py3-none-any.whl", hash = "sha256:5e31b2d5fbad117cc363ebaf6b689474db18a1f6438bc82358b024abd4c2ca19" },
+]
+
[[package]]
name = "distro"
version = "1.9.0"
@@ -1094,6 +1168,46 @@ wheels = [
{ url = "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/12/b3/231ffd4ab1fc9d679809f356cebee130ac7daa00d6d6f3206dd4fd137e9e/distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2", size = 20277, upload-time = "2023-12-24T09:54:30.421Z" },
]
+[[package]]
+name = "dnspython"
+version = "2.8.0"
+source = { registry = "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple/" }
+sdist = { url = "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/8c/8b/57666417c0f90f08bcafa776861060426765fdb422eb10212086fb811d26/dnspython-2.8.0.tar.gz", hash = "sha256:181d3c6996452cb1189c4046c61599b84a5a86e099562ffde77d26984ff26d0f", size = 368251, upload-time = "2025-09-07T18:58:00.022Z" }
+wheels = [
+ { url = "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/ba/5a/18ad964b0086c6e62e2e7500f7edc89e3faa45033c71c1893d34eed2b2de/dnspython-2.8.0-py3-none-any.whl", hash = "sha256:01d9bbc4a2d76bf0db7c1f729812ded6d912bd318d3b1cf81d30c0f845dbf3af", size = 331094, upload-time = "2025-09-07T18:57:58.071Z" },
+]
+
+[[package]]
+name = "docstring-parser"
+version = "0.17.0"
+source = { registry = "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple/" }
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