# AgenticBI

> Use this tool when you need to analyze data from multiple sources and generate insights using natural language queries. AgenticBI solves problems related to data visualization, reporting, and anomaly detection by connecting to 70+ data sources and providing a self-serve analytics platform. It takes in natural language queries and data source connections as inputs and outputs dashboards, reports, and anomaly alerts, making it ideal for use cases that require automated business intelligence and data analysis.

Canonical page: https://skillsregistry.net/skills/agenticbi  
JSON: https://api.skillsregistry.net/v1/skills/agenticbi

## Description

AgenticBI is a self-serve analytics platform that exposes business intelligence capabilities as MCP tools. It connects to 70+ data sources including PostgreSQL, MongoDB, Stripe, and REST APIs, enabling AI clients to run natural language queries, generate dashboards, deliver scheduled reports, and detect anomalies. The hosted MCP endpoint uses OAuth 2.1 with PKCE and supports Claude Desktop, Cursor, VS Code, and ChatGPT.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/agenticbi)
- **Repository:** <https://github.com/agenticbihq/agenticbi-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "agenticbi"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/agenticbi` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/agenticbi/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt