# semlayer MCP server

> semlayer MCP server — neocatalystlabs-semlayer. Use this tool when you need to provide AI agents with a unified and accurate understanding of your data warehouse, enabling them to query data with correct business context, joins, and filters. The semlayer MCP server serves an automatically inferred semantic layer, streamlining data access and analysis. It accepts data warehouse inputs and outputs a queryable semantic layer, ideal for use cases requiring intelligent data interpretation and business-driven insights.

Canonical page: https://skillsregistry.net/skills/neocatalystlabs-semlayer  
JSON: https://api.skillsregistry.net/v1/skills/neocatalystlabs-semlayer

## Description

Serves an automatically inferred semantic layer from your warehouse over MCP, enabling AI agents to query with correct business context, joins, and filters.

## Trust

- **Trust score (0–1):** 0.33
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cqvdfglztg)
- **Repository:** <https://github.com/neocatalystlabs/semlayer>

## 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": "neocatalystlabs-semlayer"
    }
  }
}
```

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