# @datalanguage/datagraphs-mcp-server

> Use this tool when you need to integrate AI assistants with a knowledge graph platform for natural language search and querying of graph data. It connects AI agents to the Data Graphs platform, enabling exploration and querying of graph data through natural language inputs, and returns relevant data outputs. Ideal for use cases requiring semantic search, data discovery, and insights generation from complex graph data.

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

## Description

MCP server that connects AI assistants to the Data Graphs knowledge graph platform, enabling natural language search, exploration, and querying of graph data.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/w3xtmcinah)
- **Repository:** <https://github.com/datalanguage/datagraphs-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": "datalanguage-datagraphs-mcp-server"
    }
  }
}
```

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