Files
beaver_project/app-instance/backend/beaver/interfaces/mcp/tools_server.py
steven_li 520a21a027 feat(coordinator): 添加团队节点默认最大工具迭代次数配置
添加 DEFAULT_TEAM_NODE_MAX_TOOL_ITERATIONS 配置项以控制团队节点的最大工具迭代次数,
并修改 LocalAgentRunner 中的逻辑来使用此默认值当 envelope 中未指定时。

fix(runtime): 修复团队节点运行成功判断逻辑

更新运行成功判断条件,将 finish_reason 为 "max_tool_iterations_finalized" 的情况
视为运行失败,并添加对原始工具调用输出的检测,避免将其误判为成功完成。

feat(mcp): 添加团队工作流MCP工具类别支持

增加新的本地MCP工具类别 "team_workflow" 及其对应的工具创建功能,
为团队工作流提供本地工具支持。

refactor(engine): 调整AgentLoop最大工具迭代次数设置

将 AgentProfile 中的默认 max_tool_iterations 从 30 增加到 100,
同时移除 TaskExecutionPlanner 构造函数中的重复参数传递。

perf(mcp): 优化MCP连接管理避免重复连接

添加 mcp_connected 标志来跟踪MCP连接状态,确保 connect_all 只执行一次,
提高性能并避免不必要的重复连接。

refactor(skills): 移除技能团队模板相关功能

移除与技能团队模板相关的代码,包括解析、存储和处理逻辑,
简化技能记录结构和加载流程。

feat(process): 增强会话过程投影器功能

添加技能激活快照事件处理,改进团队运行完成消息显示,
并增强技能激活事件的时间戳记录功能。

refactor(tasks): 简化任务尝试编排器团队执行逻辑

移除团队执行相关代码,将所有任务统一按单步执行处理,
简化任务编排器的复杂度并提升执行效率。

fix(evidence): 修复节点证据评估中需求验证逻辑

更新节点证据评估逻辑,跳过自然语言证据需求的确定性验证,
只执行机器可读的需求验证,避免因自然语言需求导致的节点失败。
2026-06-26 16:36:29 +08:00

201 lines
6.8 KiB
Python

"""Beaver local tools as real stdio MCP servers."""
from __future__ import annotations
import argparse
import asyncio
import json
import os
from pathlib import Path
from typing import Any
import mcp.types as types
from mcp.server.lowlevel import Server
from mcp.server.lowlevel.server import NotificationOptions
from mcp.server.models import InitializationOptions
from mcp.server.stdio import stdio_server
from beaver.engine.session import SessionManager
from beaver.memory.curated.store import MemoryStore
from beaver.services.cron_service import CronService
from beaver.skills import SkillsLoader
from beaver.skills.drafts import DraftService
from beaver.skills.specs import SkillSpecStore
from beaver.tools.base import BaseTool, ObjectBackedTool, ToolContext
from beaver.tools.builtins import (
ClarifyTool,
CronTool,
DelegateTool,
ExecuteCodeTool,
MemoryTool,
ProcessTool,
SendMessageTool,
SkillManageTool,
SkillViewTool,
SkillsListTool,
SpawnTool,
TerminalTool,
TodoTool,
UserFilesCopyToWorkspaceTool,
UserFilesListTool,
UserFilesMkdirTool,
UserFilesPublishOutputTool,
UserFilesReadTool,
UserFilesWriteTool,
WebFetchTool,
WebSearchTool,
WriteFileTool,
)
LOCAL_TOOL_CATEGORIES = {
"filesystem": "Beaver Personal Agent Filesystem Tools",
"runtime": "Beaver Local Runtime Tools",
"memory": "Beaver Local Memory Tools",
"skills": "Beaver Local Skills Tools",
"coordination": "Beaver Local Coordination Tools",
"scheduler": "Beaver Local Scheduler Tools",
"web": "Beaver Local Web Tools",
"team_workflow": "Beaver Local Team Workflow Tools",
}
def _workspace_path(value: str | None = None) -> Path:
raw = value or os.getenv("BEAVER_WORKSPACE")
if raw:
return Path(raw).expanduser().resolve()
return Path.cwd()
def _json_content(value: str) -> dict[str, Any]:
try:
parsed = json.loads(value)
return parsed if isinstance(parsed, dict) else {"success": True, "result": parsed}
except json.JSONDecodeError:
return {"success": True, "content": value}
def _category_tools(category: str, workspace: Path) -> tuple[list[BaseTool], ToolContext]:
skill_store = SkillSpecStore(workspace)
skills_loader = SkillsLoader(workspace, skill_store=skill_store)
draft_service = DraftService(skill_store)
services = {
"skills_loader": skills_loader,
"draft_service": draft_service,
}
context = ToolContext(workspace=str(workspace), services=services)
if category == "filesystem":
tools: list[BaseTool] = [
ObjectBackedTool(UserFilesListTool()),
ObjectBackedTool(UserFilesReadTool()),
ObjectBackedTool(UserFilesWriteTool()),
ObjectBackedTool(UserFilesMkdirTool()),
ObjectBackedTool(UserFilesCopyToWorkspaceTool()),
ObjectBackedTool(UserFilesPublishOutputTool()),
]
elif category == "runtime":
tools = [
ObjectBackedTool(TerminalTool()),
ObjectBackedTool(ProcessTool()),
ObjectBackedTool(ExecuteCodeTool()),
]
elif category == "memory":
session_manager = SessionManager(workspace)
memory_store = MemoryStore(workspace / "memory" / "curated")
memory_store.load_from_disk()
tools = [
ObjectBackedTool(MemoryTool(store=memory_store)),
ObjectBackedTool(__import__("beaver.tools.builtins.session_search", fromlist=["SessionSearchTool"]).SessionSearchTool(db=session_manager)),
]
elif category == "skills":
tools = [
ObjectBackedTool(SkillViewTool(loader=skills_loader)),
SkillsListTool(),
SkillManageTool(),
]
elif category == "coordination":
tools = [
ObjectBackedTool(TodoTool()),
ObjectBackedTool(ClarifyTool()),
ObjectBackedTool(DelegateTool()),
ObjectBackedTool(SpawnTool()),
ObjectBackedTool(SendMessageTool()),
]
elif category == "scheduler":
services["cron_service"] = CronService(workspace / "cron" / "jobs.json")
tools = [CronTool()]
elif category == "web":
tools = [
ObjectBackedTool(WebFetchTool()),
ObjectBackedTool(WebSearchTool()),
]
elif category == "team_workflow":
from beaver.team_workflows.mcp_tools import create_team_workflow_tools
tools = create_team_workflow_tools()
else:
raise ValueError(f"Unknown local tool category: {category}")
return tools, context
def create_tools_server(*, category: str, workspace: str | None = None) -> Server:
workspace_path = _workspace_path(workspace)
tools, context = _category_tools(category, workspace_path)
tool_map = {tool.spec.name: tool for tool in tools}
server = Server(LOCAL_TOOL_CATEGORIES.get(category, f"Beaver Local {category} Tools"))
@server.list_tools()
async def list_tools() -> list[types.Tool]:
return [
types.Tool(
name=tool.spec.name,
description=tool.spec.description,
inputSchema=tool.spec.input_schema,
)
for tool in tools
]
@server.call_tool(validate_input=True)
async def call_tool(name: str, arguments: dict[str, Any]) -> dict[str, Any]:
tool = tool_map.get(name)
if tool is None:
return {"success": False, "error": f"Unknown tool: {name}"}
result = await tool.invoke(arguments or {}, context)
if result.raw_output is not None and isinstance(result.raw_output, dict):
return result.raw_output
payload = _json_content(result.content)
if "success" not in payload:
payload["success"] = bool(result.success)
if result.error and "error" not in payload:
payload["error"] = result.error
return payload
return server
async def _run_stdio(category: str, workspace: str | None) -> None:
server = create_tools_server(category=category, workspace=workspace)
async with stdio_server() as (read_stream, write_stream):
await server.run(
read_stream,
write_stream,
InitializationOptions(
server_name=LOCAL_TOOL_CATEGORIES.get(category, f"beaver-{category}"),
server_version="0.1.0",
capabilities=server.get_capabilities(notification_options=NotificationOptions(), experimental_capabilities={}),
),
)
def main() -> None:
parser = argparse.ArgumentParser(description="Run a Beaver local tool category as a stdio MCP server.")
parser.add_argument("--category", choices=sorted(LOCAL_TOOL_CATEGORIES), required=True)
parser.add_argument("--workspace", default=None)
args = parser.parse_args()
asyncio.run(_run_stdio(args.category, args.workspace))
if __name__ == "__main__":
main()