FullStory MCP Server for Vercel AI SDK 11 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect FullStory through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token — get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using FullStory, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About FullStory MCP Server
Connect your FullStory account to any AI agent to automate your digital experience intelligence (DXI) and product analytics workflows through the Model Context Protocol (MCP). FullStory provides a comprehensive view of how users interact with your site or app. This MCP server enables you to manage user profiles, track server-side events, and retrieve session metadata and playback links directly through natural conversation.
The Vercel AI SDK gives every FullStory tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
Key Features
- User Lifecycle Management — List all captured users, fetch detailed profile metadata, and upsert records to maintain accurate identity mapping.
- Session Oversight — Retrieve a list of recording sessions for specific users and access playback URLs to visualize the customer journey.
- Interaction Events — Fetch the complete set of captured events (clicks, navigations, custom events) for any specific session ID.
- Server-Side Tracking — Log custom interaction events programmatically from your backend to enrich your FullStory datasets.
- Segment Discovery — Access and list configured user segments to understand high-level audience behavior.
- Data Exports — Monitor and list generated raw data bundles for deeper analytical processing.
- Privacy Compliance — Programmatically delete user data to support GDPR and CCPA requests via simple AI commands.
The FullStory MCP Server exposes 11 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect FullStory to Vercel AI SDK via MCP
Follow these steps to integrate the FullStory MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 11 tools from FullStory and passes them to the LLM
Why Use Vercel AI SDK with the FullStory MCP Server
Vercel AI SDK provides unique advantages when paired with FullStory through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same FullStory integration everywhere
Built-in streaming UI primitives let you display FullStory tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
FullStory + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the FullStory MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query FullStory in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate FullStory tools and return structured JSON responses to any frontend
Chatbots with tool use: embed FullStory capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with FullStory through natural language queries
FullStory MCP Tools for Vercel AI SDK (11)
These 11 tools become available when you connect FullStory to Vercel AI SDK via MCP:
create_event
Automatically mapped for server-side metrics injection that bypassed the frontal JavaScript client. Dispatch a custom backend event into FullStory
create_update_user
Used to synchronize custom tenant data into the FullStory analytics boundary for enhanced session context. Upsert a user identity into FullStory tracking
delete_user
Permanently removes privacy-sensitive telemetry, custom property links, and session aggregations inside FullStory. Erase a user profile and their associated session history
get_account_info
Validates live integration capability and fetches workspace scope definitions. Verify authentication and retrieve basic platform stats
get_session
Resolves page transitions, total active time, event markers, and active direct access tracking links. Retrieve deep metadata for a specific session recording
get_session_events
Exposes click trails, navigation mutations, error logs, and precise structural DOM changes. Fetch the chronological telemetry events for a session
get_user
Retrieves raw session metadata, total session durations, custom variables, and cross-device interaction boundaries. Get full tracking profile and behavior history for a specific user
list_exports
Resolves the status of bulk data offloads, processing states, and download URIs for warehouse ingestion. List raw data export jobs available for download
list_segments
Resolves saved audience definitions, population counts across the last 30 days, and logical filter structures. List dynamic audience segments built in FullStory
list_sessions
Resolves a subset of sessions matching provided JSON query criteria, exposing playback links, browser signatures, and metric overlays. List or search session recordings based on telemetry
list_users
Resolves user identities, custom parameters, session counts, and aggregate behavioral profiles across the analytics boundary. Query the FullStory subscriber and visitor directory for analytics
Example Prompts for FullStory in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with FullStory immediately.
"List the last 5 sessions for user UID 'user_12345'."
"Show me the full profile details for FullStory ID '123:456'."
"Track a server event 'Subscription Renewed' for user 'johndoe@email.com'."
Troubleshooting FullStory MCP Server with Vercel AI SDK
Common issues when connecting FullStory to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpFullStory + Vercel AI SDK FAQ
Common questions about integrating FullStory MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect FullStory with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect FullStory to Vercel AI SDK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.