google-maps
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Tools
puppeteer
On
▼
Tools

puppeteer_navigate

Navigate to a URL

puppeteer_screenshot

Take a screenshot of the current page or a specific element

puppeteer_click

Click an element on the page

puppeteer_fill

Fill out an input field

puppeteer_select

Select an element on the page with Select tag

puppeteer_hover

Hover an element on the page

puppeteer_evaluate

Execute JavaScript in the browser console
tavily-remote-mcp
On
▼
Tools

tavily_search

Search the web for real-time information about any topic. Use this tool when you need up-to-date information that might not be available in your training data, or when you need to verify current facts. The search results will include relevant snippets and URLs from web pages. This is particularly useful for questions about current events, technology updates, or any topic that requires recent information.

tavily_extract

Extract and process content from specific web pages. Use this tool when you have URLs and need to get the full text content from those pages. Returns clean, structured content in markdown or text format. Useful for reading articles, documentation, or any web page content that you need to analyze or reference.

tavily_crawl

Crawl multiple pages from a website starting from a base URL. Use this tool when you need to gather information from multiple related pages across a website or explore a site's structure. It follows internal links and extracts content from multiple pages, but truncates content to 500 characters per page. For full content extraction, use tavily_map to discover URLs first, then tavily_extract to get complete content from specific pages. Useful for comprehensive research on documentation sites, blogs, or when you need to understand the full scope of information available on a website.

tavily_map

Map and discover the structure of a website by finding all its URLs and pages. Use this tool when you need to understand a website's organization, find specific pages, or get an overview of all available content without extracting the actual text. Returns a structured list of URLs and their relationships. Useful for site exploration, finding documentation pages, or understanding how a website is organized.
amap-maps-streamableHTTP
On
▼
Tools

maps_direction_bicycling

骑行路径规划用于规划骑行通勤方案，规划时会考虑天桥、单行线、封路等情况。最大支持 500km 的骑行路线规划

maps_direction_driving

驾车路径规划 API 可以根据用户起终点经纬度坐标规划以小客车、轿车通勤出行的方案，并且返回通勤方案的数据。

maps_direction_transit_integrated

根据用户起终点经纬度坐标规划综合各类公共（火车、公交、地铁）交通方式的通勤方案，并且返回通勤方案的数据，跨城场景下必须传起点城市与终点城市

maps_direction_walking

根据输入起点终点经纬度坐标规划100km 以内的步行通勤方案，并且返回通勤方案的数据

maps_distance

测量两个经纬度坐标之间的距离,支持驾车、步行以及球面距离测量

maps_geo

将详细的结构化地址转换为经纬度坐标。支持对地标性名胜景区、建筑物名称解析为经纬度坐标

maps_regeocode

将一个高德经纬度坐标转换为行政区划地址信息

maps_ip_location

IP 定位根据用户输入的 IP 地址，定位 IP 的所在位置

maps_schema_personal_map

用于行程规划结果在高德地图展示。将行程规划位置点按照行程顺序填入lineList，返回结果为高德地图打开的URI链接，该结果不需总结，直接返回！

maps_around_search

周边搜，根据用户传入关键词以及坐标location，搜索出radius半径范围的POI

maps_search_detail

查询关键词搜或者周边搜获取到的POI ID的详细信息

maps_text_search

关键字搜索 API 根据用户输入的关键字进行 POI 搜索，并返回相关的信息

maps_schema_navi

Schema唤醒客户端-导航页面，用于根据用户输入终点信息，返回一个拼装好的客户端唤醒URI，用户点击该URI即可唤起对应的客户端APP。唤起客户端后，会自动跳转到导航页面。

maps_schema_take_taxi

根据用户输入的起点和终点信息，返回一个拼装好的客户端唤醒URI，直接唤起高德地图进行打车。直接展示生成的链接，不需要总结

maps_weather

根据城市名称或者标准adcode查询指定城市的天气
MCP
excel
On
▼
Tools

apply_formula

Apply Excel formula to cell. Excel formula will write to cell with verification.

validate_formula_syntax

Validate Excel formula syntax without applying it.

format_range

Apply formatting to a range of cells.

read_data_from_excel

Read data from Excel worksheet with cell metadata including validation rules. Args: filepath: Path to Excel file sheet_name: Name of worksheet start_cell: Starting cell (default A1) end_cell: Ending cell (optional, auto-expands if not provided) preview_only: Whether to return preview only Returns: JSON string containing structured cell data with validation metadata. Each cell includes: address, value, row, column, and validation info (if any).

write_data_to_excel

Write data to Excel worksheet. Excel formula will write to cell without any verification. PARAMETERS: filepath: Path to Excel file sheet_name: Name of worksheet to write to data: List of lists containing data to write to the worksheet, sublists are assumed to be rows start_cell: Cell to start writing to, default is "A1"

create_workbook

Create new Excel workbook.

create_worksheet

Create new worksheet in workbook.

create_chart

Create chart in worksheet.

create_pivot_table

Create pivot table in worksheet.

create_table

Creates a native Excel table from a specified range of data.

copy_worksheet

Copy worksheet within workbook.

delete_worksheet

Delete worksheet from workbook.

rename_worksheet

Rename worksheet in workbook.

get_workbook_metadata

Get metadata about workbook including sheets, ranges, etc.

merge_cells

Merge a range of cells.

unmerge_cells

Unmerge a range of cells.

get_merged_cells

Get merged cells in a worksheet.

copy_range

Copy a range of cells to another location.

delete_range

Delete a range of cells and shift remaining cells.

validate_excel_range

Validate if a range exists and is properly formatted.

get_data_validation_info

Get all data validation rules in a worksheet. This tool helps identify which cell ranges have validation rules and what types of validation are applied. Args: filepath: Path to Excel file sheet_name: Name of worksheet Returns: JSON string containing all validation rules in the worksheet

insert_rows

Insert one or more rows starting at the specified row.

insert_columns

Insert one or more columns starting at the specified column.

delete_sheet_rows

Delete one or more rows starting at the specified row.

delete_sheet_columns

Delete one or more columns starting at the specified column.
MCP
finance-agent-mcp-server
On
▼
Tools

get_stock_price_global_market

Get Public Available Stock Symbols from Global Marketplace Args: symbol_list (List): List of Symbols, such as Tencent: 700, Kuaishou: 1024, Tesla (TSLA), Microsoft(MSFT), Google (GOOG), London Stock Exchange Market, Shell (quote: SHEL), Unilever (quote: ULVR) market (str): "HK", "CN_MAINLAND", "US", "LSE", "NSE_INDIA", etc. Return: str: json str with below values samples [{'symbol': 'SH600036', 'current': 45.78, 'percent': 1.33, 'chg': 0.6, 'high': '45.81 CNY', 'low': '44.95 CNY', 'avg_price': '45.485751910823915 CNY', 'timestamp': 1750057200000, 'open': 45.08, 'last_close': 45.18, 'market_capital': 1154564531614.0, 'change': '0.6(1.33%)', 'previous_close': '45.18 CNY', 'market_capitalization': '11545.65 亿 CNY', 'pe_ratio': '', 'update_time': '2025-06-16 15:00:00', 'source': 'XUEQIU.COM, https://xueqiu.com/S/SH600036', 'data_source': 'xueqiu.com', 'source_url': 'https://xueqiu.com/S/SH600036'},
Plot a pie chart showing 25% of employees graduated within 3 years and 75% graduated more than 3 years ago.
Multi Agents Start Running
Agent (plan_agent) Start Planning Tasks
Agent (visualization_agent) Execution Start Tasks generate_pie_chart

Iteration 1 Running Tool generate_pie_chart of MCP Server mcp-server-chart


▶ Call Tool generate_pie_chart of Server mcp-server-chart

Parameters

{ "data": [ { "category": "within 3 years", "value": 25 }, { "category": "more than 3 years ago", "value": 75 } ], "title": "Employee Graduation Time Distribution" }

Results

https://mdn.alipayobjects.com/one_clip/afts/img/qwy1RbUMS3MAAAAARRAAAAgAoEACAQFr/original
Here is the pie chart showing the distribution of employees based on their graduation time: - 25% graduated within 3 years. - 75% graduated more than 3 years ago. ![Employee Graduation Time Distribution](https://mdn.alipayobjects.com/one_clip/afts/img/qwy1RbUMS3MAAAAARRAAAAgAoEACAQFr/original)
Agent (visualization_agent) Execution End
Agent (generation_agent) Start Generating Answers

Employee Graduation Time Distribution

The pie chart above visualizes the distribution of employee graduation timelines:

  • 25% graduated within 3 years
  • 75% graduated more than 3 years ago
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Gemini 2.5 Flash gemini-2.5-flash
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