Capacities 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 Capacities 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 Capacities, 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 Capacities MCP Server
Connect your Capacities account to any AI agent and take full control of your object-based personal knowledge management through natural conversation.
The Vercel AI SDK gives every Capacities 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
- Spaces & Structures — Enumerate your personal spaces and discover the exact object type structures mapping your active environment.
- Object Instantiation — Build new typed graph objects complying precisely with the predefined structure parameters.
- Daily Note Appends — Send quick thoughts, summaries, and Markdown text directly into your mapped daily note log.
- Content Lookups — Execute rapid keyword searches targeting explicit object hierarchies to track down active nodes.
- Rich Link Saving — Parse and inject web URLs dynamically into your space as Weblink objects, triggering automatic previews.
- Media & Tagging — Attach images and add tags to existing objects to organize your graph relations instantly.
The Capacities 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 Capacities to Vercel AI SDK via MCP
Follow these steps to integrate the Capacities 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 Capacities and passes them to the LLM
Why Use Vercel AI SDK with the Capacities MCP Server
Vercel AI SDK provides unique advantages when paired with Capacities 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 Capacities integration everywhere
Built-in streaming UI primitives let you display Capacities 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
Capacities + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Capacities MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Capacities in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Capacities tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Capacities capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Capacities through natural language queries
Capacities MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Capacities to Vercel AI SDK via MCP:
add_tag
Add a structural categorical Tag linking explicitly dynamically grouping related Graph items via relations
create_object
Create a new typed object in a Capacities space bounded by specific graph rules instantiating entities
get_object
Retrieve a specific full explicit object by ID accessing its root graph data traversing properties internally
get_space_info
Retrieve detailed information about a Capacities space including all object types (structures), their property definitions, and configuration
get_structures
Get all object type definitions (structures) within a Capacities space exposing exact metadata parameters limitlessly
list_spaces
List all personal spaces in the Capacities account. Spaces are top-level containers for organizing objects, notes, and knowledge
lookup
Search for content across a specific Capacities space by title or explicit keywords tracking exact nodes
save_media
Locate and attach an explicit Media payload explicitly binding it directly onto existing specific record scopes
save_to_daily_note
Append strict Markdown textual payloads to the dynamically mapped daily note explicitly linking content blocks
save_weblink
Save a web URL as a Weblink object dynamically tracking automatic preview generation natively
Example Prompts for Capacities in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Capacities immediately.
"Search my 'Work' space for the product launch meeting notes and summarize them."
"Save this URL https://example.com to my 'Research' space as a new Weblink."
"Append the code I just wrote to my daily note to remember the bugfix."
Troubleshooting Capacities MCP Server with Vercel AI SDK
Common issues when connecting Capacities to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCapacities + Vercel AI SDK FAQ
Common questions about integrating Capacities 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 Capacities 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 Capacities to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.