Poe MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Poe through 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 Poe, 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 Poe MCP Server
Connect your Poe (Quora's AI platform) account to any AI agent and manage your chatbot empire through natural conversation. Create bots, chain AI model responses, monitor conversations, and track performance — all via API.
The Vercel AI SDK gives every Poe tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Bot Management — List, create, update, and delete API bots programmatically
- AI Model Chaining — Query any bot on Poe (GPT-4, Claude, etc.) from your bot using API v2
- Message Monitoring — View recent conversations, debug responses, and analyze user interactions
- Usage Statistics — Track message counts, unique users, response times, and error rates
- Endpoint Testing — Send test messages to verify bot connectivity and response quality
- Multi-Model Workflows — Build complex bots that combine responses from multiple AI models
The Poe MCP Server exposes 10 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 Poe to Vercel AI SDK via MCP
Follow these steps to integrate the Poe 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 10 tools from Poe and passes them to the LLM
Why Use Vercel AI SDK with the Poe MCP Server
Vercel AI SDK provides unique advantages when paired with Poe 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 Poe integration everywhere
Built-in streaming UI primitives let you display Poe 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
Poe + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Poe MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Poe in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Poe tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Poe capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Poe through natural language queries
Poe MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Poe to Vercel AI SDK via MCP:
create_bot
Requires a bot name, base URL for your API endpoint, and the model name. Optionally set a system prompt and description. Create a new API bot on Poe
delete_bot
This action cannot be undone. All conversation history and settings for the bot will be lost. Delete a Poe API bot
get_bot
Use the bot ID obtained from list_bots. Get details of a specific Poe bot
get_bot_stats
Essential for monitoring bot health, understanding user engagement, and identifying performance bottlenecks. Get usage statistics for a Poe bot
list_available_bots
Useful for discovering which AI models and specialized bots are available for chaining in your bot workflows. List publicly available bots on Poe that your bot can query
list_bots
Returns bot names, handles, models, and status. Essential first step to identify which bot to work with before querying, updating, or checking stats. List all API bots under your Poe account
list_messages
Useful for monitoring what users are asking, debugging bot responses, and analyzing conversation patterns. Returns message content, timestamps, and user identifiers. List recent messages for a specific Poe bot
query_bot
This allows chaining bot responses - your bot can query GPT-4, Claude, or any other bot on Poe and use the response as input. The cost is covered by the user's free message limit or subscription. Query another bot on Poe from your bot
send_message
Useful for testing endpoint connectivity and validating bot responses. The bot will process the message and return a response via its configured endpoint. Send a message to a Poe bot (simulate user interaction)
update_bot
Changes take effect immediately for new conversations. Update an existing Poe bot's configuration
Example Prompts for Poe in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Poe immediately.
"List all my bots and show stats for the first one."
"Create a bot called 'Research Assistant' using GPT-4 that summarizes articles."
"Query Claude-3.5-Sonnet from my ResearchBot: 'What are the key trends in AI?'"
Troubleshooting Poe MCP Server with Vercel AI SDK
Common issues when connecting Poe to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpPoe + Vercel AI SDK FAQ
Common questions about integrating Poe 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 Poe 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 Poe to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.