AI Integration (MCP)
Connect HashCore documentation directly to your IDE and AI assistants using Model Context Protocol (MCP).
AI Integration (MCP)
Every instance of HashCore documentation includes a built-in Model Context Protocol (MCP) server. This allows you to connect the documentation directly to your AI-powered development tools (like Claude Code, Cursor, Zed, Windsurf, or VS Code) so they can read and search our docs in real-time.
Integrating our documentation with your IDE ensures that your AI assistant has up-to-date and accurate context about HashCore APIs, configuration parameters, and product features, preventing hallucinations.
Connection URL
The MCP server is served over HTTP at the following endpoint:
https://docs.hashcore.com/mcpHow to Connect to AI Clients
1. Claude Code
You can add the documentation server to Claude Code using the following CLI command:
claude mcp add --transport http hashcore-docs https://docs.hashcore.com/mcp
2. Cursor
You can configure the server in Cursor settings under Settings > Features > MCP (add a new server with type http and the URL above), or manually create/update the .cursor/mcp.json file in your project root:
{
"mcpServers": {
"hashcore-docs": {
"type": "http",
"url": "https://docs.hashcore.com/mcp"
}
}
}
3. VS Code (GitHub Copilot)
Create or update the .vscode/mcp.json configuration file in your project:
{
"servers": {
"hashcore-docs": {
"type": "http",
"url": "https://docs.hashcore.com/mcp"
}
}
}
4. Zed
Add the context server to your global Zed configuration file (.config/zed/settings.json):
{
"context_servers": {
"hashcore-docs": {
"source": "custom",
"command": "npx",
"args": ["mcp-remote", "https://docs.hashcore.com/mcp"],
"env": {}
}
}
}
5. Windsurf
Open Windsurf, navigate to Settings > Windsurf Settings > Cascade, click Manage MCPs, select View raw config and add the following configuration to .codeium/windsurf/mcp_config.json:
{
"mcpServers": {
"hashcore-docs": {
"type": "http",
"url": "https://docs.hashcore.com/mcp"
}
}
}
Available Tools
Once connected, your AI assistant will automatically use the following tools during your conversations:
list-pages— Lists all available pages in the documentation with their titles, paths, and descriptions.get-page— Retrieves the full Markdown content of a specific documentation page.