Frame.io 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 Frame.io as an MCP tool provider through the 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="frameio_agent",
tools=tools,
system_message=(
"You help users with Frame.io. "
"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 Frame.io MCP Server
Connect your Frame.io account to any AI agent to automate your video collaboration and creative workflows through the Model Context Protocol (MCP). Frame.io is the industry-leading platform for reviewing and approving media, allowing teams to stay in sync from anywhere in the world. This MCP server enables you to manage your projects, retrieve asset metadata, and participate in time-coded discussions directly through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Frame.io tools. Connect 12 tools through the Vinkius and assign role-based access — a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
Key Features
- Project Oversight — List all projects within your teams and fetch detailed metadata including ownership and status.
- Asset Management — List files and folders within projects and retrieve complete metadata for specific media assets.
- Collaborative Feedback — List all comments on an asset and add new time-coded feedback directly from your chat interface.
- Review Coordination — Access and list review links to monitor how your media is being shared with external stakeholders.
- Team Interaction — List team members and collaborators to maintain full context of who is involved in each project.
- Directory Structure — Navigate through folders and sub-folders within your project library to organize your work effectively.
- Real-time Monitoring — Fetch specific asset details or comments to keep your post-production workflow moving fast.
The Frame.io 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 Frame.io to AutoGen via MCP
Follow these steps to integrate the Frame.io 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 Frame.io automatically
Why Use AutoGen with the Frame.io MCP Server
AutoGen provides unique advantages when paired with Frame.io through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Frame.io tools to solve complex tasks
Role-based architecture lets you assign Frame.io 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 Frame.io tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Frame.io tool responses in an isolated environment
Frame.io + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Frame.io MCP Server delivers measurable value.
Collaborative analysis: one agent queries Frame.io while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Frame.io, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Frame.io data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Frame.io responses in a sandboxed execution environment
Frame.io MCP Tools for AutoGen (12)
These 12 tools become available when you connect Frame.io to AutoGen via MCP:
add_comment
Post a new comment
get_asset_details
Get asset metadata
get_my_profile
Get current user profile
get_project_details
Get project metadata
list_accounts
List billing accounts
list_asset_comments
List comments on an asset
list_assets
List assets or folder contents
list_collaborators
List project collaborators
list_folders
List folders in project
list_projects
List projects in a team
list_review_links
List project review links
list_teams
List Frame.io teams
Example Prompts for Frame.io in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Frame.io immediately.
"List all my projects in Frame.io team 'team_abc123'."
"Show me the last 5 comments on video asset 'vid_9876'."
"Add a comment to 'vid_9876': 'Great work, let\'s proceed to export' at 120 seconds."
Troubleshooting Frame.io MCP Server with AutoGen
Common issues when connecting Frame.io to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Frame.io + AutoGen FAQ
Common questions about integrating Frame.io 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 Frame.io 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 Frame.io to AutoGen
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
