# Sales MCP Server

> Use this tool when you need to analyze and investigate enterprise sales data to identify anomalies and trends. It enables querying of local SQLite databases and provides an inline dashboard for human-in-the-loop review, solving problems related to sales data analysis and insight generation. Ideal for use cases requiring ad-hoc sales data inquiry and review, with input of SQL queries and output of interactive dashboards and anomaly alerts.

Canonical page: https://skillsregistry.net/skills/pessini-langgraph-mcp-prefab-ui  
JSON: https://api.skillsregistry.net/v1/skills/pessini-langgraph-mcp-prefab-ui

## Description

Enables users to query enterprise sales data from a local SQLite database and investigate anomalies through an inline dashboard with human-in-the-loop review buttons.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/a7dhs4by38)
- **Repository:** <https://github.com/pessini/langgraph-mcp-prefab-ui>

## 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": "pessini-langgraph-mcp-prefab-ui"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pessini-langgraph-mcp-prefab-ui` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pessini-langgraph-mcp-prefab-ui/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