VS Code and GitHub Copilot
Open GitHub’s MCP Registry and install Analityka internetowa Hitsteps from your VS Code or GitHub Copilot client.
AI assistant integration
Hitsteps exposes a remote Model Context Protocol server for connected AI assistants. Use it to ask about analytics, live visitors, sites, goals, uptime, alerts, and authorized chat activity from your Hitsteps account while keeping access bounded by OAuth scopes, account permissions, license checks, and privacy-shaped tool results.
Choose your AI client
Start with your client directory when one is available. Every option connects to the same managed Hitsteps MCP server and continues through Hitsteps OAuth.
Open GitHub’s MCP Registry and install Analityka internetowa Hitsteps from your VS Code or GitHub Copilot client.
Open the Analityka internetowa Hitsteps listing in Cursor Directory and choose Add to Cursor. Cursor receives only the managed Hitsteps MCP endpoint; your account access is granted separately through OAuth.
Add Analityka internetowa Hitsteps from Claude’s Connector Directory, then sign in to Hitsteps and approve only the scopes you want Claude to use.
The Hitsteps directory listing for ChatGPT is coming soon. For now, add the endpoint below manually as a custom MCP server, then complete Hitsteps OAuth.
https://www.hitsteps.com/mcp/
Przewodnik instalacji
The Hitsteps MCP endpoint is https://www.hitsteps.com/mcp/. If your client asks for a transport, choose Streamable HTTP or HTTP. The official registry name is com.hitsteps/analytics-operations.
Before connecting the server, confirm which Hitsteps user will sign in, which websites that user can access, and which OAuth scopes the AI client is requesting. Analytics-only use can stay read-only; operational workflows need the specific write scopes described below.
Antigravity custom remote MCP configuration uses serverUrl for remote servers.
Save the configuration, start or refresh the MCP server in your AI client, then follow the sign-in prompt. Hitsteps uses OAuth so you do not need to paste your tracking API key into the AI client.
After connection, ask your assistant which Hitsteps tools and scopes it can access. Read-only analytics tools can answer reports; management tools such as goals, Triggers (called visitor labels in MCP), uptime, alerts, and chat actions require matching OAuth scopes, account permissions, and explicit confirmation.
Security and access
Use these details to connect Hitsteps and understand what the AI assistant can access from your account.
https://www.hitsteps.com/mcp/ is the production MCP endpoint. The slashless https://www.hitsteps.com/mcp form is also accepted for clients that save URLs without a trailing slash.
Hitsteps uses remote Streamable HTTP with JSON-RPC. There is no local Node.js package, desktop bridge, SSE worker, or separate customer-hosted process to install.
The registry/server name is com.hitsteps/analytics-operations and the displayed title is Hitsteps Analytics and Operations.
Public AI clients use Hitsteps OAuth with authorization code flow and S256 PKCE. Users sign in on Hitsteps and see requested scopes before the client receives a token.
The MCP configuration contains only the endpoint URL. Do not paste a Hitsteps password, tracking API key, website code, or OAuth token into an AI client configuration file.
Every request is rechecked against the signed-in Hitsteps account, sub-user permissions, visible websites, license state, feature limits, and the OAuth scopes granted to that client.
Authorization
Hitsteps publishes per-tool OAuth declarations. An AI client can request a narrow read-only grant or a broader operational grant depending on the workflow you want.
analytics:readsites:writegoals:writelabels:writeuptime:writealerts:readalerts:writechat:readchat:writeTool coverage
The MCP server currently exposes 87 tools: 54 read tools and 33 confirmed write tools, plus authenticated resources, a resource template, and prompts for common analytics workflows.
Connection information, visible websites, site context, metric and dimension catalog, overview reports, gap-filled time series, breakdowns, anomaly detection, traffic-change explanations, executive digests, and privacy-minimal MCP usage.
Traffic summaries, period comparisons, sources, social referrals, traffic by hour, top pages, entry/exit pages, page detail, page speed, downloads, outbound links, referrers, countries, audience technology, search engines, keywords, AI referrals, bot traffic, and realtime visitors.
Goals, goal conversions, campaigns, funnel performance, interaction events, aggregate paths, retention, Triggers (visitor labels), heatmap summaries, tracked-video analytics, chat summaries, uptime status/history, and tracking health.
Website setup, allowed website settings, goal/campaign configuration, Wyzwalacz (visitor-label) configuration, uptime contacts and monitors, maintenance schedules, recovery actions, alert operations, and authorized chat workflows.
Yes. The Hitsteps panel calls this feature Triggers. Internally and in the stable MCP API it is named visitor labels, with tools such as create_label and the labels:write scope. An unqualified request for a Hitsteps Wyzwalacz should use the label tools unless the user explicitly means a conversion-goal or campaign condition.
No. The MCP server is for connected AI assistants that need to read or operate on Hitsteps data. Website tracking still uses the Hitsteps JavaScript tracking code or a platform-specific Hitsteps plugin.
Only if the OAuth grant includes the required write scope and the user explicitly confirms the specific write action. Read-only analytics grants cannot create websites, change settings, edit uptime monitors, update alerts, or send chat replies.
Yes. Claude users can install Analityka internetowa Hitsteps from the Claude Connector Directory. The ChatGPT directory listing is coming soon; until then, add https://www.hitsteps.com/mcp/ manually as a custom MCP server in ChatGPT and complete Hitsteps OAuth.
The server returns a structured license_action_required response with non-sensitive account status and a Hitsteps URL where the user can check, renew, or upgrade. Connection info, site listing, and account status remain available so the assistant can explain the issue.
MCP usage telemetry is privacy-minimal. It records operational fields such as public OAuth client ID, normalized AI-client channel, tool name, status, duration, credential type, account/site, and timestamp. It does not store prompts, tool arguments, model tokens, raw user agents, raw result rows, or full error-message bodies.
Po instalacji