{"id":647034,"date":"2026-10-27T14:29:11","date_gmt":"2026-10-27T14:29:11","guid":{"rendered":"https:\/\/userpilot.com\/blog\/?p=647034"},"modified":"2026-10-27T14:44:53","modified_gmt":"2026-10-27T14:44:53","slug":"posthog-mcp-vs-statsig-mcp","status":"publish","type":"post","link":"https:\/\/userpilot.com\/blog\/posthog-mcp-vs-statsig-mcp\/","title":{"rendered":"PostHog MCP vs Statsig MCP: How They Work and What They Cost"},"content":{"rendered":"<p data-pm-slice=\"1 1 []\">PostHog MCP lets your AI assistant check the week\u2019s top errors, query events with SQL, and manage feature flags. Statsig MCP lets it create and update flags and experiments, then pull their results.<\/p>\n<p>But let&#8217;s face it: The server isn&#8217;t much use if the platform behind it doesn&#8217;t meet your needs. So before you start comparing PostHog MCP vs Statsig MCP servers, it&#8217;s better to compare the platforms regarding their use cases, capabilities, and pricing.<\/p>\n<p>That&#8217;s exactly what I&#8217;m doing in this article. I\u2019ll start with what each platform does and who it suits, then cover how each MCP works and what it costs. If your goal is helping users get value fast, I\u2019ll also show where Userpilot fits.<\/p>\n<div style=\"background-color: #ffffff; border: 1px solid #E1E0FA; border-left: 4px solid #6C4EF5; border-radius: 12px; box-shadow: 0 6px 22px rgba(76,50,140,0.10); padding: 24px 28px; margin: 24px 0;\">\n<h2 style=\"margin: 0 0 14px 0; color: #1a1a2e; font-size: 22px; line-height: 1.3;\">Executive summary<\/h2>\n<ul style=\"margin: 0; padding-left: 22px; color: #2a2a3c; font-size: 16px; line-height: 1.6;\">\n<li style=\"margin: 0 0 10px 0;\"><a href=\"https:\/\/userpilot.com\/blog\/posthog-analytics\/\" target=\"_blank\" rel=\"noopener\">PostHog analytics<\/a> is a better platform for engineering teams. Its MCP server has 1,009 tools and supports SQL.<\/li>\n<li style=\"margin: 0 0 10px 0;\">Statsig is better suited for data teams running experiments at scale. Its MCP manages flags, experiments, and configs and pulls their results.<\/li>\n<li style=\"margin: 0 0 10px 0;\">The key MCP difference is that PostHog\u2019s agent can run SQL on your analytics data, while Statsig\u2019s pulls results for specific experiments and flags.<\/li>\n<li style=\"margin: 0 0 10px 0;\">Neither platform charges for the MCP itself; you pay for the platform.<\/li>\n<li style=\"margin: 0;\">Userpilot is a more user-friendly solution that helps product teams guide users to value without engineering or data analyst support.<\/li>\n<\/ul>\n<\/div>\n<div style=\"overflow-x: auto; margin: 24px 0; background-color: #ffffff; border: 1px solid #E1E0FA; border-radius: 12px; box-shadow: 0 6px 22px rgba(76,50,140,0.10);\">\n<table style=\"width: 100%; min-width: 640px; border-collapse: collapse; margin: 0; font-size: 15px; line-height: 1.55; color: #2a2a3c;\">\n<tbody>\n<tr>\n<th style=\"background-color: #6c4ef5 !important; color: #ffffff; font-weight: bold; text-align: left; vertical-align: top; padding: 14px 18px; border-top: none; border-bottom: none; border-left: 4px solid #6C4EF5; border-right: 1px solid #E1E0FA !important;\"><\/th>\n<th style=\"background-color: #6c4ef5 !important; color: #ffffff; font-weight: bold; text-align: left; vertical-align: top; padding: 14px 18px; border-top: none; border-bottom: none; border-left: none; border-right: 1px solid #E1E0FA !important;\">PostHog MCP<\/th>\n<th style=\"background-color: #6c4ef5 !important; color: #ffffff; font-weight: bold; text-align: left; vertical-align: top; padding: 14px 18px; border: none;\">Statsig MCP<\/th>\n<\/tr>\n<tr>\n<td style=\"background-color: #ffffff; color: #2a2a3c; font-weight: 600; text-align: left; vertical-align: top; padding: 14px 18px; border-left: 4px solid #6C4EF5; border-right: 1px solid #E1E0FA; border-bottom: 1px solid #E1E0FA;\">Main focus<\/td>\n<td style=\"background-color: #ffffff; color: #2a2a3c; text-align: left; vertical-align: top; padding: 14px 18px; border-right: 1px solid #E1E0FA; border-bottom: 1px solid #E1E0FA;\">Querying and managing data across the whole platform<\/td>\n<td style=\"background-color: #ffffff; color: #2a2a3c; text-align: left; vertical-align: top; padding: 14px 18px; border-bottom: 1px solid #E1E0FA;\">Managing experiments, feature flags, and configs<\/td>\n<\/tr>\n<tr>\n<td style=\"background-color: #fafaff; color: #2a2a3c; font-weight: 600; text-align: left; vertical-align: top; padding: 14px 18px; border-left: 4px solid #6C4EF5; border-right: 1px solid #E1E0FA; border-bottom: 1px solid #E1E0FA;\">Product areas covered<\/td>\n<td style=\"background-color: #fafaff; color: #2a2a3c; text-align: left; vertical-align: top; padding: 14px 18px; border-right: 1px solid #E1E0FA; border-bottom: 1px solid #E1E0FA;\">74 categories, including analytics, replay, errors, surveys, and logs<\/td>\n<td style=\"background-color: #fafaff; color: #2a2a3c; text-align: left; vertical-align: top; padding: 14px 18px; border-bottom: 1px solid #E1E0FA;\">Gates, experiments, configs, metrics, segments, and audit logs<\/td>\n<\/tr>\n<tr>\n<td style=\"background-color: #ffffff; color: #2a2a3c; font-weight: 600; text-align: left; vertical-align: top; padding: 14px 18px; border-left: 4px solid #6C4EF5; border-right: 1px solid #E1E0FA; border-bottom: 1px solid #E1E0FA;\">Tool design<\/td>\n<td style=\"background-color: #ffffff; color: #2a2a3c; text-align: left; vertical-align: top; padding: 14px 18px; border-right: 1px solid #E1E0FA; border-bottom: 1px solid #E1E0FA;\">Hundreds of tools behind one &#8220;exec&#8221; tool that loads them on demand<\/td>\n<td style=\"background-color: #ffffff; color: #2a2a3c; text-align: left; vertical-align: top; padding: 14px 18px; border-bottom: 1px solid #E1E0FA;\">18 core tools (27 with expanded mode), plus a discovery tool for everything else<\/td>\n<\/tr>\n<tr>\n<td style=\"background-color: #fafaff; color: #2a2a3c; font-weight: 600; text-align: left; vertical-align: top; padding: 14px 18px; border-left: 4px solid #6C4EF5; border-right: 1px solid #E1E0FA; border-bottom: 1px solid #E1E0FA;\">Data querying<\/td>\n<td style=\"background-color: #fafaff; color: #2a2a3c; text-align: left; vertical-align: top; padding: 14px 18px; border-right: 1px solid #E1E0FA; border-bottom: 1px solid #E1E0FA;\">Full SQL enabling natural-language queries on raw events<\/td>\n<td style=\"background-color: #fafaff; color: #2a2a3c; text-align: left; vertical-align: top; padding: 14px 18px; border-bottom: 1px solid #E1E0FA;\">Experiment results and Logs Explorer queries<\/td>\n<\/tr>\n<tr>\n<td style=\"background-color: #ffffff; color: #2a2a3c; font-weight: 600; text-align: left; vertical-align: top; padding: 14px 18px; border-left: 4px solid #6C4EF5; border-right: 1px solid #E1E0FA; border-bottom: 1px solid #E1E0FA;\">Safety controls<\/td>\n<td style=\"background-color: #ffffff; color: #2a2a3c; text-align: left; vertical-align: top; padding: 14px 18px; border-right: 1px solid #E1E0FA; border-bottom: 1px solid #E1E0FA;\">Read-only mode, tool filters, project pinning, and a confirm flag on destructive tools<\/td>\n<td style=\"background-color: #ffffff; color: #2a2a3c; text-align: left; vertical-align: top; padding: 14px 18px; border-bottom: 1px solid #E1E0FA;\">Required confirmation on updates and destructive actions, plus your existing review and approval flows<\/td>\n<\/tr>\n<tr>\n<td style=\"background-color: #fafaff; color: #2a2a3c; font-weight: 600; text-align: left; vertical-align: top; padding: 14px 18px; border-left: 4px solid #6C4EF5; border-right: 1px solid #E1E0FA; border-bottom: 1px solid #E1E0FA;\">Central access control<\/td>\n<td style=\"background-color: #fafaff; color: #2a2a3c; text-align: left; vertical-align: top; padding: 14px 18px; border-right: 1px solid #E1E0FA; border-bottom: 1px solid #E1E0FA;\">Through your identity provider, on enterprise plans<\/td>\n<td style=\"background-color: #fafaff; color: #2a2a3c; text-align: left; vertical-align: top; padding: 14px 18px; border-bottom: 1px solid #E1E0FA;\">Admin-set project limits, plus per-role access through personal keys<\/td>\n<\/tr>\n<tr>\n<td style=\"background-color: #ffffff; color: #2a2a3c; font-weight: 600; text-align: left; vertical-align: top; padding: 14px 18px; border-left: 4px solid #6C4EF5; border-right: 1px solid #E1E0FA; border-bottom: 1px solid #E1E0FA;\">Clients<\/td>\n<td style=\"background-color: #ffffff; color: #2a2a3c; text-align: left; vertical-align: top; padding: 14px 18px; border-right: 1px solid #E1E0FA; border-bottom: 1px solid #E1E0FA;\">Claude Code, Claude Desktop, Cursor, Codex, VS Code, Windsurf, Zed<\/td>\n<td style=\"background-color: #ffffff; color: #2a2a3c; text-align: left; vertical-align: top; padding: 14px 18px; border-bottom: 1px solid #E1E0FA;\">Codex, Cursor, Claude Code, ChatGPT connector, manual setup<\/td>\n<\/tr>\n<tr>\n<td style=\"background-color: #fafaff; color: #2a2a3c; font-weight: 600; text-align: left; vertical-align: top; padding: 14px 18px; border-left: 4px solid #6C4EF5; border-right: 1px solid #E1E0FA; border-bottom: 1px solid #E1E0FA;\">Regions<\/td>\n<td style=\"background-color: #fafaff; color: #2a2a3c; text-align: left; vertical-align: top; padding: 14px 18px; border-right: 1px solid #E1E0FA; border-bottom: 1px solid #E1E0FA;\">Separate US and EU servers<\/td>\n<td style=\"background-color: #fafaff; color: #2a2a3c; text-align: left; vertical-align: top; padding: 14px 18px; border-bottom: 1px solid #E1E0FA;\">Not mentioned in the MCP documentation<\/td>\n<\/tr>\n<tr>\n<td style=\"background-color: #ffffff; color: #2a2a3c; font-weight: 600; text-align: left; vertical-align: top; padding: 14px 18px; border-left: 4px solid #6C4EF5; border-right: 1px solid #E1E0FA; border-bottom: 1px solid #E1E0FA;\">MCP cost<\/td>\n<td style=\"background-color: #ffffff; color: #2a2a3c; text-align: left; vertical-align: top; padding: 14px 18px; border-right: 1px solid #E1E0FA; border-bottom: 1px solid #E1E0FA;\">Free, but you pay for the data used, and some AI tools use AI credits<\/td>\n<td style=\"background-color: #ffffff; color: #2a2a3c; text-align: left; vertical-align: top; padding: 14px 18px; border-bottom: 1px solid #E1E0FA;\">No MCP pricing published<\/td>\n<\/tr>\n<tr>\n<td style=\"background-color: #fafaff; color: #2a2a3c; font-weight: 600; text-align: left; vertical-align: top; padding: 14px 18px; border-left: 4px solid #6C4EF5; border-right: 1px solid #E1E0FA;\">Paid entry point<\/td>\n<td style=\"background-color: #fafaff; color: #2a2a3c; text-align: left; vertical-align: top; padding: 14px 18px; border-right: 1px solid #E1E0FA;\">Pay-as-you-go from $0 base, 6 projects<\/td>\n<td style=\"background-color: #fafaff; color: #2a2a3c; text-align: left; vertical-align: top; padding: 14px 18px;\">Pro at $150\/month per project<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p><a href=\"https:\/\/userpilot.com\/userpilot-demo\/\"><img decoding=\"async\" class=\"size-full \" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2026\/06\/CTA-blog-banner-1-1.png\" alt=\"demo CTA\" \/><\/a><\/p>\n<h2>What do you use PostHog for?<\/h2>\n<p>PostHog is a product data platform that bundles analytics, testing, and debugging tools on top of the same event data.<\/p>\n<p>Its feature set leans toward engineering-led organizations who want to:<\/p>\n<ul>\n<li><strong>Understand user behavior:<\/strong> Product analytics auto-captures clicks, page views, and form submissions, then lets you build trends, funnels, retention curves, paths, and SQL queries. <a href=\"https:\/\/userpilot.com\/blog\/posthog-session-replay\/\" target=\"_blank\" rel=\"noopener\">Session replays<\/a> show clicks, scrolls, console logs, and network requests, and surveys let you collect NPS, CSAT, and open-ended feedback inside your product.<\/li>\n<li><strong>Ship and test features:<\/strong> Feature flags and kill switches handle phased rollouts without redeploys. You can run experiments (A\/B, A\/B\/n, multivariate) and holdout tests on top of those flags.<\/li>\n<li><strong>Debug production:<\/strong> Error tracking catches errors as they happen and links them to the session replay of the user who hit them. Logs give you a searchable record of what your backend services report, and AI observability tracks what your AI features cost, how fast they respond, and how good their answers are.<\/li>\n<li><strong>Manage data and automate:<\/strong> The data warehouse pulls data from your databases and business tools like Stripe or your CRM, so you can analyze revenue and customer data alongside <a href=\"https:\/\/userpilot.com\/blog\/product-usage-metrics\/\" target=\"_blank\" rel=\"noopener\">product usage<\/a>. With Workflows, you can send email, SMS, and webhook messages triggered by user behavior.<\/li>\n<\/ul>\n<p><img decoding=\"async\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2026\/10\/c22aa48d-6fc3-4931-bd2a-ff76bcfa23a7.webp\" alt=\"PostHog product analytics dashboard\" \/><\/p>\n<h3>How does the PostHog MCP work?<\/h3>\n<p>The PostHog MCP server lets an AI agent read and write data across PostHog\u2019s products. As of October 2026, it offers 1,009 tools across 74 categories, from product analytics, SQL and error tracking to feature flags, experiments and surveys.<\/p>\n<p>The MCP connects to Claude Code, Claude Desktop, Cursor, Codex, VS Code, Windsurf, Zed, and any other MCP-capable client. You can ask for the week&#8217;s top errors with affected user counts, have the agent pull a stack trace and propose a fix, manage feature flags and experiments, or run SQL on your event data.<\/p>\n<p>PostHog serves its tools in two modes:<\/p>\n<ul>\n<li>Tools mode loads every tool&#8217;s schema individually.<\/li>\n<li>CLI mode, recommended by PostHog for most clients, ships a single, token-optimized exec tool that the agent uses to list, search, inspect, and call tools on demand.<\/li>\n<\/ul>\n<p>PostHog picks the mode based on your client: Claude Code and Codex default to CLI mode, and Cursor to tools mode.<\/p>\n<p>The CLI mode is meant to save your tokens and context window. With over a thousand tools available, there&#8217;s no point loading them all upfront when a session only uses a few.<\/p>\n<p>The catch is that to call the tools, the agent has to write the correct command text itself. If it gets it wrong, it gets an error back and has to retry. That eats up some of the tokens it&#8217;s designed to save.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2026\/10\/e05b694d-d0c8-4320-99b5-f80d818aa920.webp\" alt=\"An agent listing the latest errors from a PostHog project. Source: PostHog\" \/><\/p>\n<p>That\u2019s why I see the PostHog MCP as a tool for engineering teams that understand what happens under the hood. They can switch modes, filter tools, run read-only sessions, and pin a project to keep token use and risk in check.<\/p>\n<h3>How much does it cost to use PostHog MCP?<\/h3>\n<p>The PostHog MCP is available on every plan, including the free one. Connecting to it costs nothing extra. You only pay for the PostHog products behind it.<\/p>\n<p>Standard usage billing applies to the data your queries draw on, and tools that use AI internally are billed as PostHog AI spend.<\/p>\n<p><a href=\"https:\/\/userpilot.com\/blog\/posthog-pricing\/\" target=\"_blank\" rel=\"noopener\">PostHog\u2019s pricing<\/a> has three layers:<\/p>\n<ul>\n<li><strong>Free:<\/strong> The full monthly free tier on every product, including 500 PostHog AI credits (worth $5), with unlimited team members, 1 project, and 1-year data retention. Usage stops at the free limits.<\/li>\n<li><strong>Pay-as-you-go:<\/strong> The free tier but with 6 projects, 7-year data retention, and email support. Once you exhaust the free allowance, per-product usage pricing with no caps kicks in. This gives scalability as your volume grows.<\/li>\n<li><strong>Platform packages:<\/strong> Boost at $250\/month, Scale at $750\/month, and Enterprise at custom pricing, adding features like SSO enforcement, SAML, and role-based access control.<\/li>\n<\/ul>\n<p>For a market reference, <a href=\"http:\/\/vendr.com\/marketplace\/posthog\" target=\"_blank\" rel=\"noopener\">Vendr&#8217;s procurement data<\/a> puts PostHog\u2019s median contract value at $58,173 a year, with deals ranging from $20,000 to $70,000 (as of October 2026).<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2026\/10\/f95ed64c-ad6a-41b0-8c7f-0a983dd32642.webp\" alt=\"PostHog median annual contract value, according to Vendr (October, 2026)\" \/><\/p>\n<h2>What do you use Statsig for?<\/h2>\n<p>Statsig is an experimentation and feature-flag platform, available as a hosted or warehouse-native option. The brand <a href=\"https:\/\/amplitude.com\/blog\/amplitude-and-statsig-partnership\" target=\"_blank\" rel=\"noopener\">was acquired by Amplitude<\/a> in May 2026, but for now, it&#8217;s still a standalone product with its own pricing.<\/p>\n<p>Statsig&#8217;s core use case is measuring how each feature release lands with users. Its capabilities include:<\/p>\n<ul>\n<li><strong>Experimentation:<\/strong> A\/B and multivariate tests, plus sequential tests, switchback tests, and multi-armed bandits, with variance reduction built into the stats engine.<\/li>\n<li><strong>Feature flags:<\/strong> Targeted, scheduled rollouts that roll back automatically when a release hurts your metrics.<\/li>\n<li><strong>Product and web analytics:<\/strong> Funnels, paths, retention, and cohort reports for granular insights into <a href=\"https:\/\/userpilot.com\/blog\/user-engagement\/\" target=\"_blank\" rel=\"noopener\">user engagement<\/a> over time. Segmentation lets you see how each experiment group interacts with the product features.<\/li>\n<li><strong>Session replay:<\/strong> Recordings annotated with flag checks and experiment exposures to analyze individual user behavior.<\/li>\n<li><strong>Infra analytics:<\/strong> Logs, metrics, traces, and alerts that tie incidents to the rollout, experiment, or flag behind them.<\/li>\n<li><strong>Visual editor:<\/strong> A Chrome extension for no-code website experiments that marketers can launch without engineering support.<\/li>\n<\/ul>\n<p>Overall, Statsig is a great fit for data teams running a lot of experiments and analyzing results in a data warehouse. Engineering teams get release controls and infrastructure monitoring. Statsig captures JavaScript errors as events, but it has no dedicated error tracking tool like PostHog\u2019s, which groups errors into issues and links each one to a session replay.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2026\/10\/8b92cfa7-3aaa-4a14-a491-5a181b121269.webp\" alt=\"Statsig's experiment score card\" \/><\/p>\n<h3>How does the Statsig MCP work?<\/h3>\n<p>The latest version of the Statsig MCP server, released in October 2026, lets an AI agent read and change your feature flags, experiments, and dynamic configs, and read your metrics, audit logs, and Logs Explorer data.<\/p>\n<p>Statsig takes a middle path between PostHog\u2019s two modes.<\/p>\n<p>Every session starts with 18 typed tools for the most common jobs, or 10 in read-only sessions. The agent reaches everything else, such as segments, holdouts, or dashboards, through a discovery tool that finds and runs operations on demand. In Statsig\u2019s own testing, this cut input tokens by roughly 43% compared with the previous version.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2026\/10\/81a3a6fa-5561-48e7-80b5-fb2af029875d.webp\" alt=\"Statsig MCP's gates and experiments summary \" \/><\/p>\n<p>The MCP connects to Codex, Cursor, Claude Code, ChatGPT, and any other MCP client that supports Streamable HTTP. You can ask which experiments are currently running, pull an experiment\u2019s results, create flags and experiments in bulk, or find flags that have finished rolling out and remove them from your code.<\/p>\n<p>Statsig\u2019s update tools require the agent to confirm each change, and Statsig recommends you review the change first. PostHog\u2019s CLI mode asks for the same kind of confirmation, but only on destructive tools.<\/p>\n<p>Statsig\u2019s MCP has no SQL tool. Instead, it pulls results for specific experiments and feature flags, such as overall results, results by metric, and summary charts. This makes it harder to get <a href=\"https:\/\/userpilot.com\/blog\/user-behavior-analytics\/\" target=\"_blank\" rel=\"noopener\">insights into user behavior<\/a> than in PostHog, where you can ask plain-language questions and the agent will run SQL on your raw event data.<\/p>\n<h3>How much does it cost to use Statsig MCP?<\/h3>\n<p>Statsig doesn\u2019t list a separate price for the MCP, and it isn&#8217;t limited to any plan. What you pay depends on your Statsig plan.<\/p>\n<p>Statsig\u2019s pricing has three tiers:<\/p>\n<ul>\n<li><strong>Developer:<\/strong> Free, with 2M events per month, unlimited flag and config checks, 50,000 session replays, 1-year analytics retention, and unlimited seats. Above 2M events, flags keep working, but experiment results stop being calculated.<\/li>\n<li><strong>Pro:<\/strong> $150\/month per project, with 5M events included, then $0.05 per 1,000 events. It adds 100,000 session replays, unlimited analytics retention, and change reviews and approvals.<\/li>\n<li><strong>Enterprise:<\/strong> Custom pricing, adding warehouse-native deployment, SSO, role-based access control, and volume discounts.<\/li>\n<\/ul>\n<p>For market context, the median annual Statsig contract is $82,500 a year, and deals range from $14,650 to $199,250 (<a href=\"https:\/\/www.vendr.com\/marketplace\/statsig\" target=\"_blank\" rel=\"noopener\">Vendr, last updated in February 2026<\/a>).<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2026\/10\/3fc631d5-03cb-4f8a-a82a-a31a28180563.webp\" alt=\"Statsig median annual contract value, according to Vendr (February, 2026)\" \/><\/p>\n<h2>What if your goal is user value, not experiments? Try Userpilot!<\/h2>\n<p>PostHog and Statsig are both highly specialized solutions for teams that mainly want to ship, experiment, manage flags, or query <a href=\"https:\/\/userpilot.com\/blog\/product-analytics\/\" target=\"_blank\" rel=\"noopener\">product analytics data<\/a> from developer tools.<\/p>\n<p>If your goal is helping users get value from your product, Userpilot is a better fit.<\/p>\n<p>Our funnels, path, and trend analytics show you where visitors experience friction; <a href=\"https:\/\/userpilot.com\/blog\/session-recordings\/\" target=\"_blank\" rel=\"noopener\">session recordings<\/a> and in-app feedback help you understand why the issues occur; and segmentation shows exactly which users are affected.<\/p>\n<p>Then you can guide them to product value in less time by building targeted experiences across channels like in-app, email, and mobile messages. These experiences are built on insights you&#8217;ve already collected.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2026\/10\/bf35b97e-0190-4d5d-abf1-f6927620f879.webp\" alt=\"Userpilot's onboarding workflow builder\" \/><\/p>\n<p>You don&#8217;t even need engineering help for any of that process at all. This makes it easier for non-technical product teams to work independently.<\/p>\n<p>Diego Noya, Chief Product and Technology Officer at <a href=\"https:\/\/userpilot.com\/blog\/doppler-case-study\/\" target=\"_blank\" rel=\"noopener\">Doppler<\/a>, describes what that independence looks like:<\/p>\n<blockquote><p>\u201cAll the events and flows you can tag really help us understand how customers use our application without asking the development team for help. When we release a new feature, I can tag the event and see the adoption right away. I\u2019d say I\u2019m about 90% self-sufficient. I can track almost all the events I want on my own.\u201d<\/p><\/blockquote>\n<p>We have an <a href=\"https:\/\/userpilot.com\/blog\/userpilot-mcp\/\" target=\"_blank\" rel=\"noopener\">MCP server at Userpilot<\/a> too. It is available on every plan and lets you query your product data from Claude, ChatGPT, Cursor, or Microsoft 365 Copilot, and turn it into a report, dashboard, segment, or survey draft. And thanks to built-in skills for common jobs, like analyzing activation, two team members still get the same analysis even if they phrase the question differently.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2026\/10\/a69b4e47-8932-4a80-b0f9-12e8eefd0fb3.webp\" alt=\"Userpilot MCP in Claude, answering \u201cHow many users have adopted my core \u2018Invoices\u2019 feature?\u201d with an adoption trend chart\" \/><\/p>\n<p>Userpilot MCP solves a common access problem where only a few people know how to build reports, and everyone has to go through them, as Nat\u00e1lia Kimli\u010dkov\u00e1, our product marketing manager at Userpilot, explains:<\/p>\n<blockquote><p>&#8220;If you\u2019re not as data-savvy as I am, a product marketer, it also means that you need to constantly nag your product managers or data analysts to give you the answers that you desperately need in this moment.&#8221;<\/p><\/blockquote>\n<p><a href=\"https:\/\/userpilot.com\/userpilot-demo\/\" target=\"_blank\" rel=\"noopener\">Book a demo<\/a> to see how Userpilot turns a funnel drop-off or a trend decline into a targeted fix, whether you start in Userpilot or in your AI assistant.<\/p>\n<hr \/>\n<p><em><span data-color=\"transparent\">Disclaimer: Userpilot strives to provide accurate information to help businesses determine the best solution for their particular needs. Because the industry is dynamic, Userpilot and other platforms\u2019 features often change over time. The statements made in this article are accurate to the best of Userpilot\u2019s knowledge as of its publication\/most recent update on October 19, 2026.<\/span><\/em><\/p>\n<p><a href=\"https:\/\/userpilot.com\/userpilot-demo\/\"><img decoding=\"async\" class=\"size-full \" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2026\/06\/CTA-blog-banner-1-1.png\" alt=\"demo CTA\" \/><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>See how PostHog MCP and Statsig MCP connect your AI assistant to product data and what you&#8217;ll pay for the data behind them.<\/p>\n","protected":false},"author":70,"featured_media":647045,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"categories":[1075],"tags":[7340,7348,7607,7606],"class_list":["post-647034","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tools","tag-posthog","tag-posthog-analytics","tag-posthog-mcp","tag-statsig-mcp"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.2 (Yoast SEO v27.2) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>PostHog MCP vs Statsig MCP: How They Work and What They Cost<\/title>\n<meta name=\"description\" content=\"See how PostHog MCP and Statsig MCP connect your AI assistant to product data and what you&#039;ll pay for the data behind them.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, 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