mcpField
M
Mixpanel MCP by usefulapi

Mixpanel MCP by usefulapi

Remote
usefulapi.ioData & Analytics0Updated today

About Mixpanel MCP by usefulapi

Mixpanel MCP by usefulapi is a hosted MCP server for querying Mixpanel analytics. It provides MCP clients with tools for event segmentation, funnels, retention, saved insights, and JQL queries.

Key features

  1. 01View top events
  2. 02Segment events and query retention
  3. 03List and query saved funnels
  4. 04Query saved Insights reports
  5. 05Run JQL queries

Use cases

  1. 01Review top events for today
  2. 02Analyze event segments and retention
  3. 03Inspect a saved funnel
  4. 04Query an Insights report or run JQL

MCP support

Exposes read-only Mixpanel analytics queries to MCP clients. The hosted server connects using a Mixpanel project API secret.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://mixpanel.usefulapi.io/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

7
ParameterTypeRequiredDescription
typeenumNogeneral (totals), unique (per-user), or average. Default general.general | unique | average
limitintegerNoMax events to return. Default 100.

Details

From the project README

Mixpanel MCP by usefulapi

Query Mixpanel events, funnels, retention, segmentation and insights from Claude, Cursor, or any MCP client. Hosted, no local install — connect with your Mixpanel project API secret.

Live endpoint: https://mixpanel.usefulapi.io/mcp · Homepage: https://usefulapi.io/mixpanel

Connect

  • Claude (claude.ai, Desktop): open Customize → Connectors, click + Add → Add custom connector, and paste https://mixpanel.usefulapi.io/mcp.
  • Claude Code: claude mcp add --transport http mixpanel https://mixpanel.usefulapi.io/mcp, then run /mcp to log in.
  • VS Code: Add to VS Code.
  • Cursor and other clients: add the URL as a remote MCP server:
{
  "mcpServers": {
    "mixpanel": {
      "url": "https://mixpanel.usefulapi.io/mcp"
    }
  }
}

Add only the URL. Do not add an Authorization header or an API key to the client config: the server signs you in with OAuth, and the login page asks for your Mixpanel credentials.

Step-by-step setup, where to find your credentials, and FAQ: https://usefulapi.io/mixpanel/

On first connect you'll paste your Mixpanel project API secret. It's validated, stored per-user, and scoped to you.

Tools

ToolTypeWhat it does
mixpanel_top_eventsreadTop events (today)
mixpanel_segmentationreadSegment an event
mixpanel_retentionreadRetention report
mixpanel_list_funnelsreadList saved funnels
mixpanel_query_funnelreadQuery a saved funnel
mixpanel_query_insightsreadQuery a saved Insights report
mixpanel_jqlreadRun a JQL query
mixpanel_usage_statusmetaUsage status (free-tier meter)
mixpanel_request_featuremetaRequest a missing feature
mixpanel_upgrademetaUpgrade to Pro (unlimited*)
mixpanel_cancel_subscriptionmetaCancel the Pro subscription

read tools are read-only; write tools mutate data (clients should confirm them); meta tools report usage, manage your subscription or send a feature request.

Pricing

PlanPriceLimit
Free$050 tool calls / month
Pro$9/mo or $90/yr (2 months free)Unlimited*

*Pro has a fair use limit of 10,000 tool calls a month on this server. For more, write to [email protected].

Pro covers this server only. Subscribe with mixpanel_upgrade (it returns a Stripe Checkout link). Cancel any time with mixpanel_cancel_subscription: Pro continues to the end of the paid period, with no refund for the current period, and running mixpanel_upgrade before then undoes the cancel. Or write to [email protected].

License

MIT — see LICENSE. Documentation only; the server is hosted.

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.