Fastly MCP Server for AutoGen 12 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Fastly as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="fastly_agent",
tools=tools,
system_message=(
"You help users with Fastly. "
"12 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Fastly tools. Connect 12 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Fastly MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 12 tools from Fastly automatically
Why Use AutoGen with the Fastly MCP Server
AutoGen provides unique advantages when paired with Fastly through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Fastly tools to solve complex tasks
Role-based architecture lets you assign Fastly tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Fastly tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Fastly tool responses in an isolated environment
Fastly + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Fastly MCP Server delivers measurable value.
Collaborative analysis: one agent queries Fastly while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Fastly, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Fastly data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Fastly responses in a sandboxed execution environment
Fastly MCP Tools for AutoGen (12)
These 12 tools become available when you connect Fastly to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Fastly to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Fastly + AutoGen FAQ
Common questions about integrating Fastly MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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 AutoGen
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.