@Datalanguage/Datagraphs Server
FreeNot checkedMCP server that connects AI assistants to the Data Graphs knowledge graph platform, enabling natural language search, exploration, and querying of graph data.
About
MCP server that connects AI assistants to the Data Graphs knowledge graph platform, enabling natural language search, exploration, and querying of graph data.
README
An MCP (Model Context Protocol) server that exposes the Data Graphs knowledge graph platform to AI assistants such as Claude, ChatGPT, Cursor, and other MCP-compatible clients.
Prerequisites
- Node.js 18+
- A Data Graphs project with an API key
Installation
npm install @datalanguage/datagraphs-mcp-server
Or run directly with npx:
npx @datalanguage/datagraphs-mcp-server
Configuration
Obtaining Credentials
To generate the API key, client ID, and client secret:
- Sign in to Data Graphs and open your project.
- Click Manage Project.
- Go to Applications and click Add Application.
- Once the application is created, the API key, client ID, and client secret will be displayed.
Important: The client secret is shown only once at creation time. Copy it immediately and store it somewhere secure — if lost, you will need to rotate the credentials or create a new application to obtain a new secret.
Your project ID can also be found on the project page in Data Graphs.
Environment Variables
The server reads credentials from environment variables:
| Variable | Required | Description |
|---|---|---|
DATAGRAPHS_PROJECT_ID |
Yes | Your Data Graphs project ID |
DATAGRAPHS_API_KEY |
Yes | API key for authentication |
DATAGRAPHS_CLIENT_ID |
For GQL | OAuth client ID (required for graph_search) |
DATAGRAPHS_CLIENT_SECRET |
For GQL | OAuth client secret (required for graph_search) |
MCP Client Setup
Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"datagraphs": {
"command": "npx",
"args": ["-y", "@datalanguage/datagraphs-mcp-server"],
"env": {
"DATAGRAPHS_PROJECT_ID": "your-project-id",
"DATAGRAPHS_API_KEY": "your-api-key"
}
}
}
}
Claude Code
claude mcp add datagraphs -- npx -y @datalanguage/datagraphs-mcp-server
Then set the required environment variables in your shell before launching Claude Code.
Cursor
Add to your Cursor MCP settings (.cursor/mcp.json):
{
"mcpServers": {
"datagraphs": {
"command": "npx",
"args": ["-y", "@datalanguage/datagraphs-mcp-server"],
"env": {
"DATAGRAPHS_PROJECT_ID": "your-project-id",
"DATAGRAPHS_API_KEY": "your-api-key"
}
}
}
}
Tools
The server provides the following tools:
list_datasets
List all datasets available in the Data Graphs project.
| Parameter | Type | Description |
|---|---|---|
pageSize |
number | Number of results per page |
pageNo |
number | Page number to return |
search_concepts
Search for concepts (nodes) across datasets using text queries, filters, and facets.
| Parameter | Type | Description |
|---|---|---|
dataset |
string | Dataset ID to search (defaults to all datasets) |
q |
string | Text search query |
filter |
string | NQL filter expression |
facets |
string[] | Property names to return facet counts for |
pageSize |
number | Number of results per page (default 10) |
pageNo |
number | Page number to return (default 1) |
sort |
string | Sort order, e.g. name:asc,modified:desc |
embed |
string[] | Relationship properties to embed (use ["_all"] to embed all) |
fields |
string[] | Specific fields to return for each concept |
includeDateFields |
boolean | Include created and last modified dates |
get_concept
Get a single concept (node) by its URN identifier.
| Parameter | Type | Description |
|---|---|---|
id |
string | Concept URN, e.g. urn:project:Type:identifier |
embed |
string[] | Relationship properties to embed (use ["_all"] to embed all) |
fields |
string[] | Specific fields to return |
includeDateFields |
boolean | Include created and last modified dates |
graph_search
Execute a GQL graph query against the knowledge graph. Requires DATAGRAPHS_CLIENT_ID and DATAGRAPHS_CLIENT_SECRET.
| Parameter | Type | Description |
|---|---|---|
query |
string | GQL query, e.g. MATCH (n:Person) RETURN n LIMIT 10 |
search_transactions
Search the transaction/audit log for the project.
| Parameter | Type | Description |
|---|---|---|
filter |
string | NQL filter expression |
pageSize |
number | Number of results per page |
pageNo |
number | Page number to return |
sort |
string | Sort order, e.g. property:asc |
get_model
Get the currently active data model for the project. Takes no parameters.
Development
git clone <repo-url>
cd datagraphs-client-mcp-server
npm install
npm start
License
UNLICENSED
Install @Datalanguage/Datagraphs Server in Claude Desktop, Claude Code & Cursor
unyly install datalanguage-datagraphs-mcp-serverInstalls into Claude Desktop, Claude Code, Cursor & VS Code — handles npx, uvx and build-from-source repos for you.
First time? Get the CLI: curl -fsSL https://unyly.org/install | sh
Or configure manually
Run in your terminal:
claude mcp add datalanguage-datagraphs-mcp-server -- npx -y @datalanguage/datagraphs-mcp-serverFAQ
Is @Datalanguage/Datagraphs Server MCP free?
Yes, @Datalanguage/Datagraphs Server MCP is free — one-click install via Unyly at no cost.
Does @Datalanguage/Datagraphs Server need an API key?
No, @Datalanguage/Datagraphs Server runs without API keys or environment variables.
Is @Datalanguage/Datagraphs Server hosted or self-hosted?
A hosted option is available: Unyly runs the server in the cloud, no local setup required.
How do I install @Datalanguage/Datagraphs Server in Claude Desktop, Claude Code or Cursor?
Open @Datalanguage/Datagraphs Server on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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