How do I get an Access Token for Frame.io?

You can generate a Personal Access Token in the Frame.io Developer Portal at https://developer.frame.io.

Can I add comments with a specific timecode using the agent?

Yes! The 'add_comment' tool accepts an optional 'timestamp' parameter in seconds, allowing you to pin your feedback to a specific moment in the video.

How do I see the assets inside a specific folder?

Use the 'list_assets' tool and provide the Folder ID as the 'parentId'. The agent will return all files and sub-folders contained within that directory.

Is it possible to list external review links?

Yes! Use the 'list_review_links' tool and provide the Project ID. The agent will retrieve all active shared links for that project.

Frame.io MCP Server for LangChain 12 tools — connect in under 2 minutes

Name: Frame.io
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 12 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Frame.io through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "frameio": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Frame.io, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LangChain's ecosystem of 500+ components combines seamlessly with Frame.io through native MCP adapters. Connect 12 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Frame.io MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 12 tools from Frame.io via MCP

Why Use LangChain with the Frame.io MCP Server

LangChain provides unique advantages when paired with Frame.io through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents — combine Frame.io MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Frame.io queries for multi-turn workflows

Frame.io + LangChain Use Cases

Practical scenarios where LangChain combined with the Frame.io MCP Server delivers measurable value.

RAG with live data: combine Frame.io tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Frame.io, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Frame.io tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Frame.io tool call, measure latency, and optimize your agent's performance

Frame.io MCP Tools for LangChain (12)

These 12 tools become available when you connect Frame.io to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting Frame.io to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Frame.io + LangChain FAQ

Common questions about integrating Frame.io MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.