AgenticBI

AgenticBI

Connect your business data to any MCP client. AgenticBI agents find the right data, join across systems, run queries, build dashboards, generate reports, and automate analytics workflows. No SQL required.

Category
访问服务器

README

AgenticBI MCP Server

Demo

Watch AgenticBI in action: https://www.youtube.com/@TryAgenticBI

Field Value
Product AgenticBI MCP Server
Purpose Connect Claude, Cursor, VS Code, ChatGPT, Codex CLI, and other MCP-enabled AI clients directly to business data
Endpoint https://app.agenticbi.com/api/2.0/mcp
Protocol MCP 2024-11-05
Transport Streamable HTTP (POST) with SSE
Authentication OAuth 2.1 with PKCE
Tools Available 33
GitHub https://github.com/AgenticBIHQ/agenticbi-mcp-server

Prerequisites

Requirement
MCP-compatible AI client (Claude Desktop, Claude Code, Cursor, VS Code, ChatGPT, Codex CLI)

Client Setup

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "agenticbi": {
      "url": "https://app.agenticbi.com/api/2.0/mcp"
    }
  }
}

File locations:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json

On first use, your browser opens to AgenticBI login. Sign in or create an account to authorize.

Full Guide: https://app.agenticbi.com/docs/mcp-server.html


Claude Code

claude mcp add agenticbi --transport http https://app.agenticbi.com/api/2.0/mcp
  1. Run the command above in your terminal.

  2. Exit and relaunch Claude Code.

  3. Run /mcp, select agenticbi, and click Enable.

  4. Click the authentication button — your browser opens to AgenticBI login.

  5. Sign in or create an account and authorize access.

  6. Verify by asking:

    What AgenticBI tools are available?

Alternative: Manual Token Authentication

Generate a token in AgenticBI → Settings → AI Settings → MCP Token, then run:

claude mcp add agenticbi https://app.agenticbi.com/api/2.0/mcp \
  --transport http \
  --header "Authorization: Bearer YOUR_MCP_TOKEN"

Full Guide: https://app.agenticbi.com/docs/claude-code-setup.html


Cursor

Requires Cursor v0.45 or later.

  1. Open Settings → Cursor Settings
  2. Select Tools & Integrations → New MCP Server
  3. Add the following to your mcp.json:
{
  "mcpServers": {
    "agenticbi": {
      "url": "https://app.agenticbi.com/api/2.0/mcp"
    }
  }
}
  1. Save the file. Your browser opens to AgenticBI login on first use.

Alternative: Manual Token Authentication

{
  "mcpServers": {
    "agenticbi": {
      "url": "https://app.agenticbi.com/api/2.0/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_MCP_TOKEN"
      }
    }
  }
}

Full Guide: https://app.agenticbi.com/docs/cursor-mcp-setup.html


VS Code

Option A — Command Palette (Recommended)

  1. Open Command Palette:

    • macOS: Cmd + Shift + P
    • Windows: Ctrl + Shift + P
  2. Search for MCP: Add Server

  3. Select HTTP as the server type

  4. Enter:

    https://app.agenticbi.com/api/2.0/mcp
    
  5. Name it agenticbi

  6. Save

  7. Authorize via browser on first use

Option B — Configuration File

Add to settings.json:

{
  "mcp": {
    "servers": {
      "agenticbi": {
        "type": "http",
        "url": "https://app.agenticbi.com/api/2.0/mcp"
      }
    }
  }
}

Or add to .vscode/mcp.json:

{
  "servers": {
    "agenticbi": {
      "type": "http",
      "url": "https://app.agenticbi.com/api/2.0/mcp"
    }
  }
}

Alternative: Manual Token Authentication

{
  "mcp": {
    "servers": {
      "agenticbi": {
        "type": "http",
        "url": "https://app.agenticbi.com/api/2.0/mcp",
        "headers": {
          "Authorization": "Bearer YOUR_MCP_TOKEN"
        }
      }
    }
  }
}

Full Guide: https://app.agenticbi.com/docs/vscode-mcp-setup.html


ChatGPT

  1. Click + in the message input and select Connectors, or go to Settings → Connected Apps

  2. Choose Add Custom Connector

  3. Name it AgenticBI

  4. Enter the server URL:

    https://app.agenticbi.com/api/2.0/mcp
    
  5. Select OAuth 2.0 authentication

  6. Click Save

  7. On first use, ChatGPT opens your browser for AgenticBI sign-in and authorization

Alternative: Manual Token Authentication

  1. Generate a token in AgenticBI → Settings → AI Settings → MCP Token
  2. Repeat steps 1–4 above
  3. Select Bearer Token authentication
  4. Paste your token
  5. Click Save

Full Guide: https://app.agenticbi.com/docs/chatgpt-mcp-setup.html


Codex CLI

Add to ~/.codex/config.json:

{
  "mcpServers": {
    "agenticbi": {
      "type": "http",
      "url": "https://app.agenticbi.com/api/2.0/mcp"
    }
  }
}

On first use, your browser opens to AgenticBI login for authorization.

Alternative: Manual Token Authentication

{
  "mcpServers": {
    "agenticbi": {
      "type": "http",
      "url": "https://app.agenticbi.com/api/2.0/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_MCP_TOKEN"
      }
    }
  }
}

Full Guide: https://app.agenticbi.com/docs/codex-mcp-setup.html

Authentication Endpoints

Endpoint URL
Authorization https://app.agenticbi.com/oauth/mcp/authorize
Token https://app.agenticbi.com/oauth/mcp/token
Registration https://app.agenticbi.com/oauth/mcp/register

Tool Categories

Category Tool Count
Ask & Query 6
Dashboards & Exports 4
Insights & Alerts 3
Documents 2
Create & Manage 16
Destructive 2
Total 33

Ask & Query Tools

Tool Description
ask Ask a data question in natural language
get_data Retrieve full dataset or widget data
search Search AgenticBI assets
find_widget Find widgets by name
get_details Retrieve asset details
explain_lineage Trace how an answer was built

Dashboard & Export Tools

Tool Description
list_dashboards List dashboards
get_embed_url Generate embed links
export_pdf Export dashboards/widgets as PDF
export_csv Export data as CSV

Insights & Alerts Tools

Tool Description
get_insights Generate AI-powered insights
list_alerts List alerts
cloud9ql_assist Generate, fix, explain, convert, validate or preview Cloud9QL

Document Tools

Tool Description
ask_document Ask questions against ingested documents
list_documents List ingested documents

Create & Manage Tools

Tool Description
do Execute operations in natural language
push_data Push rows into datasets
run Execute saved queries/reports
create_datasource Create a datasource connection
create_query Create a query
create_widget Create a visualization
update_widget Update a visualization
layout_dashboard Arrange dashboard widgets
import_file Import CSV, JSON, XML, or Excel
create_report Create scheduled reports
update_report Update reports
create_alert Create alerts
test_alert Test alerts
update_alert Update alerts
ingest_document Ingest documents
extract_document_data Extract structured data from documents

Destructive Tools

Tool Description
delete Delete AgenticBI assets
delete_document Delete ingested documents

Health & Limits

Setting Value
Health Endpoint GET /api/2.0/mcp/health
Session Header Mcp-Session-Id
Idle Timeout 30 minutes
Max Concurrent Sessions 1,000
Default Rows (ask) 500
Default Rows (get_data) 10,000
Max Rows 200,000

Example Prompts

Example
What were our top 10 customers by revenue last quarter?
Why did churn spike in March?
Which marketing channels drove the most pipeline this month?
Create a dashboard showing weekly signups by source.
Alert me when MRR drops more than 5% week over week.
Pull our call transcripts and summarize the top objections from lost deals.
Upload this PDF and extract the key metrics into a dataset.
Export the Q3 revenue dashboard as a PDF and email it to the team.

Important Links

Resource URL
Website https://www.agenticbi.com
MCP Docs https://app.agenticbi.com/docs/mcp-server.html
Privacy Policy https://www.agenticbi.com/privacy
Terms of Service https://www.agenticbi.com/terms

Support

Contact
support@agenticbi.com

Directory Listings

smithery badge

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选