Documentation
Get started with Neuledge
Install our tools and ground your AI agent in real data. Full documentation lives in each project's GitHub repo — this page gets you up and running fast.
@neuledge/context
GitHubLocal-first documentation for AI agents. Index library docs into SQLite, query via MCP.
1. Install
Or use without installing: npx @neuledge/context
2. Add documentation
Point it at any Git repo with Markdown docs. It clones, parses, and
indexes into a portable .db file.
3. Start the MCP server
Your AI coding assistant now has sub-10ms access to accurate, version-specific docs.
4. Configure your editor
Add the MCP server to your AI coding assistant's configuration.
Claude Code
$ claude mcp add context -- npx @neuledge/context mcp
Cursor / VS Code (settings.json)
{
"mcpServers": {
"context": {
"command": "npx",
"args": ["@neuledge/context", "mcp"]
}
}
} @neuledge/graph
GitHubSemantic data layer for AI agents. Structured access to live data through a single lookup tool.
1. Install
2. Configure data sources
import { NeuledgeGraph } from "@neuledge/graph"; const graph = new NeuledgeGraph({ sources: { products: { url: "https://api.internal/products" }, pricing: { url: "https://api.internal/pricing" }, }, cache: { ttl: 300 }, // 5-minute cache });
3. Query with natural language
const result = await graph.lookup("current price for SKU-1234"); // Returns structured JSON — not free text
The agent describes what it needs; Graph routes the request to the right data source and returns structured JSON.
Resources
Additional resources to help you get the most out of Neuledge tools.
Context README
Full installation guide, CLI reference, and configuration options.
Graph README
API reference, source configuration, and caching options.
Step-by-Step Tutorial
A hands-on walkthrough of setting up @neuledge/context from install to editor integration.
Blog
Tutorials, guides, and articles on AI grounding, MCP, and developer tooling.