Fullstory
@Fullstory
Fullstory について
Product analytics with receipts. Claude builds segments, computes metrics, and analyzes conversion from your Fullstory behavioral data, then pulls the real sessions behind every number. Requires a Fullstory account on an
設定
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"fullstory": {
"type": "http",
"url": "https://api.fullstory.com/mcp/fullstory"
}
}
}ツール
ツールは検出されませんでした
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
概要
What is Fullstory MCP?
Fullstory MCP connects Claude (or any MCP client) to your product's behavioral data. Ask how many users adopted a feature, where checkout is leaking, or whether yesterday's release broke something, and the agent builds the segment, computes the metric, and explains the result with a link back to Fullstory.
Analytics connectors can give you numbers. Fullstory shows you what happened. Every metric unpacks into real session replay, so "conversion dropped 12%" becomes "the coupon field errors for logged-out users."
And because Fullstory autocaptures clicks, page views, errors, and frustration signals, many questions need no instrumentation at all.
Key features
- Build and save segments and metrics. Describe the users or behavior you care about in your own words; the agent creates the segment or metric in Fullstory where your whole team can reuse it.
- Compute on demand. Counts, rates, trends, and breakdowns by device, browser, geography, or user property, over any time window.
- Speak your product's language. The agent discovers your pages, named elements, and defined events, so questions map to your real product vocabulary instead of guessed selectors.
- Analyze conversion. Read your saved funnels and measure where users drop and why.
- Back every number with sessions. Retrieve the sessions and events behind any metric, including frustration signals like rage clicks and dead clicks.
- Read sessions at scale. Review dozens of sessions behind a drop-off or an alert and report the patterns, including failures that never reached your error tracker.
Example prompts
- "How many users tried the new export feature last week, and is adoption growing week over week?"
- "Signups fell after Tuesday's release. Break conversion down by browser and tell me where the drop is."
- "Pull sessions from users who abandoned checkout after an error and summarize what actually happened."
- "Review 20 sessions from users who dropped at step 3 of onboarding and give me the top three reasons they gave up."
- "I watched a user rage click the pricing toggle. How many users did that this month, and is it trending up?"
Requirements
Requires a Fullstory account on an org that is capturing sessions, with MCP access enabled (available on paid plans; not included in free plans). Sign in with your Fullstory credentials via OAuth; the agent acts with your permissions and sees only what your account can see.
Setup
Add the remote server to your MCP client:
{
"mcpServers": {
"fullstory": {
"type": "http",
"url": "https://api.fullstory.com/mcp/fullstory"
}
}
}
Full client setup guides (Claude, Cursor, VS Code, and more): https://developer.fullstory.com/mcp/introduction/
基本情報
「データと分析」の他のコンテンツ
mcp-simple-arxiv
andybrandtTool to work with arXiv, provide LLM with ability to search and read papers from there
Sugra API MCP
Sugra Systems, Inc.Official MCP server for the Sugra API, giving AI agents source-attributed access to 1,500+ endpoints across 36 data domains from 160+ primary sources. Covers markets, economics, company fundamentals, government, news, cl
Web3 Research MCP
aaronjmarsDeep Research for crypto - free & fully local
ArXiv MCP Server
blazickjpA Model Context Protocol server for searching and analyzing arXiv papers

TofuBofu AI Visibility
Arnav NeilTofuBofu runs a free AI visibility scan for any B2B company, right inside your AI assistant. Ask it to scan a domain and it runs the questions real buyers ask across ChatGPT, Claude, Gemini, Perplexity, Google AI Overvie
コメント