4,000+ servers built on MCP Fusion
Vinkius
LlamaIndexFramework
LlamaIndex
Why use Frame.io MCP Server with LlamaIndex?

Bring Video Review
to LlamaIndex

Create your Vinkius account to connect Frame.io to LlamaIndex and start using all 12 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.

MCP Inspector GDPR Free for Subscribers
Add CommentGet Asset DetailsGet My ProfileGet Project DetailsList AccountsList Asset CommentsList AssetsList CollaboratorsList FoldersList ProjectsList Review LinksList Teams
ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Frame.io

What is the 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.

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.

How it works

  1. Subscribe to this server through the Vinkius Marketplace
  2. Enter your Frame.io Personal Access Token (found in the Developer Portal)
  3. Start managing your video collaboration from Claude, Cursor, or any MCP client

Who is this for?

  • Video Editors & Producers — quickly check for new comments or update project statuses without leaving your primary agent.
  • Creative Directors — get a real-time overview of review links and project progress across multiple teams.
  • Post-Production Managers — automate the retrieval of asset metadata and feedback threads for audit and reporting.

Built-in capabilities (12)

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

Why LlamaIndex?

LlamaIndex agents combine Frame.io tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

  • Data-first architecture: LlamaIndex agents combine Frame.io tool responses with indexed documents for comprehensive, grounded answers

  • Query pipeline framework lets you chain Frame.io tool calls with transformations, filters, and re-rankers in a typed pipeline

  • Multi-source reasoning: agents can query Frame.io, a vector store, and a SQL database in a single turn and synthesize results

  • Observability integrations show exactly what Frame.io tools were called, what data was returned, and how it influenced the final answer

L
See it in action

Frame.io in LlamaIndex

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Enterprise Security

Why run Frame.io with Vinkius?

The Frame.io connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 12 tools are ready to work instantly without any complex setup.

You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

View full Frame.io details →
Frame.io
Fully ManagedNo server setup
Plug & PlayNo coding needed
SecurePrivacy protected
PrivateYour data is safe
Cost ControlBudget limits
Control1-click disconnect
Auto-UpdatesMaintenance free
High SpeedOptimized for AI
Reliable99.9% uptime
Your credentials and connection tokens are fully encrypted

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure

01 / Catalog

Over 4,000 integrations ready for AI agents

Explore a vast library of pre-built integrations, optimized and ready to deploy.

02 / Credentials

Connect securely in under 30 seconds

Generate tokens to authenticate and link external services in a single step.

03 / Guardian

Complete visibility into every agent action

Audit live requests, latency, success rates, and active security compliance policies.

04 / FinOps

Optimize spending and track token ROI

Analyze real-time token consumption and cost metrics detailed by connection.

Over 4,000 integrations ready for AI agents
Connect securely in under 30 seconds
Complete visibility into every agent action
Optimize spending and track token ROI

Explore our live AI Agents Analytics dashboard to see it all working

This dashboard is included when you connect Frame.io using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.

Why Vinkius

Frame.io and 4,000+ other AI tools. No hosting, no code, ready to use.

Professionals who connect Frame.io to LlamaIndex through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.

4,000+MCP Integrations
<40msResponse time
100%Fully managed
Raw MCP
Vinkius
Ready-to-use MCPsFind and configure each manually4,000+ MCPs ready to use
Connection SetupManual coding & server setup1-click instant connection
Server HostingYou host it yourself (needs 24/7 uptime)100% hosted & managed by Vinkius
Security & PrivacyStored in plaintext config filesBank-grade encrypted vault
Activity VisibilityBlind execution (no logs or tracking)Live dashboard with real-time logs
Cost ControlRunaway AI token spend riskAutomatic budget limits
Revoking AccessMust delete files or code to stop1-click disconnect button
The Vinkius Advantage

How Vinkius secures Frame.io for LlamaIndex

Every request between LlamaIndex and Frame.io is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

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.

02

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.

03

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.

04

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.

05

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

06

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Frame.io tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.

07

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

08

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

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