# Sigma MCP Server

> Use this tool when you need to analyze documents and manage analytics data in a scalable and efficient manner. It solves problems related to document search and analytics by providing a serverless architecture with caching capabilities for optimized performance. The Sigma MCP Server takes in API requests and returns analytics data, making it ideal for use cases that require fast and reliable data analysis in a cloud-based environment.

Canonical page: https://skillsregistry.net/skills/ja2z-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/ja2z-mcp-server

## Description

Enables users to interact with the Sigma Computing API to analyze documents and manage analytics data via a serverless AWS architecture. It features document search and analytics capabilities with DynamoDB-backed caching for optimized performance.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/s17xsryegp)
- **Repository:** <https://github.com/ja2z/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": "ja2z-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ja2z-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ja2z-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