Fastly MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Fastly 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 Fastly, 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 Fastly MCP Server
Connect your Fastly account to any AI agent and take full control of your edge cloud delivery and CDN configurations through natural conversation.
The Vercel AI SDK gives every Fastly tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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
- Service Orchestration — Identify bounded underlying Edge Cloud Delivery mappings and extract CDN service IDs aggregating global payload instances natively
- Version Management — Enumerate strictly immutable configuration drafts and promover promoted versions seamlessly to distribute instant security patches
- Live Traffic Auditing — Target specific configuration identities evaluating precise Active Version pointers to validate which architectural instance controls live traffic today
- Edge Deployment — Deploy drafted VCL or Compute@Edge logic instantly to production by promoting Promoted Drafts to Active states synchronously
- Cache Purging — Vaporize the complete Surrogate Cache storing static endpoints globally by issuing absolute HTTP PURGE instructions via chat
- Backend & Origin Control — Locate physical upstream Origins (AWS/GCP) mapped inside configurations and verify port constraints shielding original load-balancers
- Domain Auditing — Extract precise FQDN apex domains terminated at the Fastly Edge to manage routing configurations for specific headers flawlessly
The Fastly MCP Server exposes 12 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 Fastly to Vercel AI SDK via MCP
Follow these steps to integrate the Fastly 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 12 tools from Fastly and passes them to the LLM
Why Use Vercel AI SDK with the Fastly MCP Server
Vercel AI SDK provides unique advantages when paired with Fastly 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 Fastly integration everywhere
Built-in streaming UI primitives let you display Fastly 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
Fastly + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Fastly MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Fastly in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Fastly tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Fastly capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Fastly through natural language queries
Fastly MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect Fastly to Vercel AI SDK via MCP:
activate_service_version
Activate a specific configuration version for a service
create_service
Create a new Fastly service
delete_service
Delete a specific Fastly service
get_me
Get current API token identity info
get_service
Get details for a specific Fastly service
get_service_stats
Get usage statistics for a specific service
get_service_version
Get details for a specific service version
list_service_versions
List all configuration versions for a service
list_services
List all Fastly services
list_version_backends
List all backend origins for a specific service version
list_version_domains
List all domains for a specific service version
purge_all_cache
Purge all cached content for a specific service
Example Prompts for Fastly in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Fastly immediately.
"List all active Fastly services"
"Activate version 15 for service 'Prod-Main-CDN'"
"Purge all cache for service '1a2b'"
Troubleshooting Fastly MCP Server with Vercel AI SDK
Common issues when connecting Fastly to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpFastly + Vercel AI SDK FAQ
Common questions about integrating Fastly 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 Fastly 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 Fastly to Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.