Bear 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 Bear 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 Bear, 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 Bear MCP Server
Connect your Bear App database to any AI agent and manage your entire localized knowledge base through natural conversation.
The Vercel AI SDK gives every Bear 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.
O que você pode fazer
- Note Operations — Search globally, read explicit full-markdown note content, and orchestrate the creation of rich hierarchical docs
- Content Mutation — Inject new blocks into existing resources (
add_text), avoiding constant manual copy-pasting - Lifecycle Control — Move outdated research aggressively to the Archive or permanently isolate abandoned drafts in the Trash
- Taxonomy & Tags — List tags, explore bounded nested hierarchies, or completely rename structural tags across thousands of items
Como funciona
1. Subscribe to this server
2. Enter your Bear API Token (interfacing directly with your private local instance)
3. Take absolute control of your linked-thinking graph via Claude or Cursor natively
Say goodbye to breaking focus. Your autonomous agent fetches the precise code snippets or creative writing you saved months ago without breaking context.
Para quem é?
- Developers — inject raw saved configuration blocks directly into your active coding environment
- Writers & Researchers — let the AI read your fragmented thoughts, organize your nested active tags, and assemble pristine drafts
- Productivity Enthusiasts — search the "@todo" tag instantly summarizing all pending personal action items
The Bear 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 Bear to Vercel AI SDK via MCP
Follow these steps to integrate the Bear 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 Bear and passes them to the LLM
Why Use Vercel AI SDK with the Bear MCP Server
Vercel AI SDK provides unique advantages when paired with Bear 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 Bear integration everywhere
Built-in streaming UI primitives let you display Bear 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
Bear + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Bear MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Bear in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Bear tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Bear capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Bear through natural language queries
Bear MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Bear to Vercel AI SDK via MCP:
add_text
Append or prepend Markdown chunks to a Bear note
archive_note
Archive an explicit Bear Note
create_note
Create a new native Bear note
delete_tag
Destroy entirely a Tag constraint globally
list_tags
g. parent/child). Retrieve the exact Tags taxonomy nesting globally
open_note
Retrieve explicit complete Markdown content of a Bear note
open_tag
List all explicit Bear notes matching a specific tag
rename_tag
Rename globally an entire tag across all mapped Notes
search_notes
g. @todo @today). Search across all Bear app notes
trash_note
Move an explicit Bear Note to the Trash
Example Prompts for Bear in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Bear immediately.
"Search my Bear notes for anything mentioning 'Database Migration 2026'."
"Rename the tag '#project/legacy' to '#archive/legacy_projects' across all my notes."
"Create a new note with the title 'Meeting Notes - App V2' and tag it 'work/meetings/vurb'."
Troubleshooting Bear MCP Server with Vercel AI SDK
Common issues when connecting Bear to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpBear + Vercel AI SDK FAQ
Common questions about integrating Bear 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 Bear 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 Bear to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.