# EdgeLake MCP Server

> Use this tool when you need to query and explore distributed data across multiple nodes and databases, or to perform complex data analysis with joins, aggregations, and metadata fields. It solves problems of data discovery, querying, and analysis in distributed environments, supporting use cases such as data integration and business intelligence. The EdgeLake MCP Server takes SQL queries as input and returns query results, providing a unified interface to access and explore data across EdgeLake nodes.

Canonical page: https://skillsregistry.net/skills/tom-viviano-edgelake-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/tom-viviano-edgelake-mcp-server

## Description

Enables AI assistants to query and explore distributed data across EdgeLake nodes through SQL operations, resource discovery, and schema inspection. Supports complex queries with joins, aggregations, and metadata fields across multiple databases and tables.

## Trust

- **Trust score (0–1):** 0.82
- **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/qctrds4bol)
- **Repository:** <https://github.com/tom-viviano/edgelake-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": "tom-viviano-edgelake-mcp-server"
    }
  }
}
```

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