Glama MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Glama through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
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 Glama, 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 Glama MCP Server
Empower your local Vinkius terminal intelligence with the Glama.ai infrastructure bridge. Rather than navigating generic web interfaces to find compatible model contexts, let your core logic intuitively search, index, and introspect external MCP servers on the fly. In addition, harness the power to query multiple standard LLM networks via the Glama API Gateway, consolidating all programmatic text completion requirements cleanly.
The Vercel AI SDK gives every Glama tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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
- MCP Registry Scuba — Seamlessly query
list_mcp_serversandget_mcp_server_infoto find context protocols needed dynamically without interrupting deep-work focus states. - Gateway Proxies — List active LLM models navigating
list_gateway_modelsand push semantic prompts viarun_gateway_chatexecuting parallel logic chains outside local memory. - Matrix Attributes — Uncover standard classification strings with
get_mcp_attributesassessing global MCP logic matrices. - Hosted Telemetry — Scan local instances routing
get_hosted_instancesand actively parse behavior metrics pushing logs throughsend_telemetry.
The Glama MCP Server exposes 8 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 Glama to Vercel AI SDK via MCP
Follow these steps to integrate the Glama 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 8 tools from Glama and passes them to the LLM
Why Use Vercel AI SDK with the Glama MCP Server
Vercel AI SDK provides unique advantages when paired with Glama 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 Glama integration everywhere
Built-in streaming UI primitives let you display Glama 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
Glama + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Glama MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Glama in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Glama tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Glama capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Glama through natural language queries
Glama MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Glama to Vercel AI SDK via MCP:
glama_get_gateway_model_details
g. "anthropic/claude-3-5-sonnet") to fetch the specific configurations exposed by the Glama unified API proxy. Investigate granular attributes (prices, context window, parameters) of a specific proxied Gateway Model
glama_get_gateway_models
Audit the complete list of AI models supported natively by the Glama OpenAI-compatible gateway
glama_get_hosted_instances
Cannot access public instances natively from here. Fetch all Private Hosted MCP instances assigned to your specific Glama account
glama_get_mcp_attributes
List filtering attributes and semantic categorizations mapped within the Glama MCP Registry
glama_get_mcp_server_info
Requires its namespace and slug. Extract detailed parameters and installation instructions for a specific Glama MCP server
glama_list_mcp_servers
Capable of loose text matching to discover new agentic capabilities. Search and list MCP servers directly from the global Glama directory
glama_run_gateway_chat
Bifurcate an isolated conversational prompt using a specific model through the Glama proxy network
glama_send_telemetry
Can be triggered after your AI uses a specific external server. Report semantic usage execution metrics back to the Glama Telemetry backend
Example Prompts for Glama in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Glama immediately.
"Find all MCP servers relating to CRM logic inside the registry, then let me know their basic descriptions."
"Are there smaller LLMs available on the Glama API gateway we can proxy text to quickly?"
"Report a successful telemetry execution map event back to Glama for the GitHub repo tool."
Troubleshooting Glama MCP Server with Vercel AI SDK
Common issues when connecting Glama to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpGlama + Vercel AI SDK FAQ
Common questions about integrating Glama 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 Glama 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 Glama to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.