# sisense-mcp-server

> sisense-mcp-server — sisense-sisense-mcp-server. Use this tool when you need to query Sisense data sources and generate charts using natural language prompts, enabling large language models (LLMs) to interact with data in a more intuitive way. It solves problems of data accessibility and visualization, allowing users to retrieve insights and build charts without requiring technical expertise. The tool accepts natural language inputs and outputs visual charts and data insights, making it ideal for use cases where ease of data analysis and interpretation is crucial.

Canonical page: https://skillsregistry.net/skills/sisense-sisense-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/sisense-sisense-mcp-server

## Description

MCP server enabling LLMs to query Sisense data sources and build charts via natural language prompts.

## Trust

- **Trust score (0–1):** 0.84
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/sisense/sisense-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": "sisense-sisense-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sisense-sisense-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sisense-sisense-mcp-server/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