Compatible with every major AI agent and IDE
What is the Cloudflare Stream MCP Server?
Connect your Cloudflare Stream account to any AI agent to manage your video delivery and live streaming workflows through natural conversation.
What you can do
- Video Management — List all videos in your account, fetch specific metadata, and filter by status (ready, in-progress, error) or type (vod, live).
- Live Streaming — Create and manage live inputs, configure recording options, and list simulcast outputs for platforms like YouTube or Twitch.
- Content Editing — Update video metadata, set allowed origins for security, and schedule automatic deletions.
- Upload Workflows — Initiate video uploads using the TUS protocol with custom metadata and size specifications.
- Deletion Control — Permanently remove videos or live inputs when they are no longer needed.
How it works
- Subscribe to this server
- Enter your Cloudflare Account ID and API Token
- Start managing your video library and live streams from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Content Creators & Media Teams — quickly check video statuses and manage metadata without leaving the chat interface.
- Developers — integrate video upload and management logic into coding workflows or automated agents.
- Live Streamers — monitor live inputs and configure simulcast destinations on the fly.
Built-in capabilities (26)
Add an audio track via URL
Can specify metadata and recording options. Creates a live input for streaming video to Cloudflare
Create a simulcast output for a live input
Enable M4A audio downloads for a video
Enable MP4 downloads for a video
Create a Stream Signing Key
Create a watermark profile
Delete a live input
Delete a simulcast output
Deletes a video and its copies
Update metadata or settings for a video
Generate AI captions for a video
Retrieve account-wide storage statistics
Retrieve details for a single video
View webhook configuration
Requires upload length in bytes and base64 encoded metadata. Initiates a video upload using the TUS protocol
List additional audio tracks for a video
List text tracks (subtitles/captions) for a video
List available downloads for a video
List live inputs
g., YouTube, Twitch) for a specific live input. List simulcast outputs for a live input
List Stream Signing Keys
Can filter by status, type, or search term. List videos in your Cloudflare Stream account
List watermark profiles
Create or update webhook configuration
Upload a VTT caption file
Why Pydantic AI?
Pydantic AI validates every Cloudflare Stream tool response against typed schemas, catching data inconsistencies at build time. Connect 26 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
- —
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
- —
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Cloudflare Stream integration code
- —
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
- —
Dependency injection system cleanly separates your Cloudflare Stream connection logic from agent behavior for testable, maintainable code
Cloudflare Stream in Pydantic AI
Cloudflare Stream and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Cloudflare Stream to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Cloudflare Stream in Pydantic AI
The Cloudflare Stream 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. All 26 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
Cloudflare Stream for Pydantic AI
Every tool call from Pydantic AI to the Cloudflare Stream MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I filter my video list to see only videos that are ready to watch?
Yes! Use the list_videos tool and set the status parameter to 'ready'. You can also filter by type (vod or live) and search for specific names.
How do I create a new live streaming endpoint?
You can use the create_live_input tool. You can optionally provide metadata like a stream name and configure whether the stream should be automatically recorded.
Is it possible to update the metadata of an existing video?
Absolutely. Use the edit_video tool with the video's identifier. You can update the meta object, change allowedOrigins, or toggle requireSignedURLs.
How does Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your Cloudflare Stream MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
Explore More MCP Servers
View all →
Rong360 Open API
4 toolsBring high-level financial risk assessment and identity KYC directly to your agent. Evaluate credit scores and verify names.

Codecov
8 toolsManage test coverage and engineering metrics via Codecov — track coverage reports, monitor commit totals, and audit code quality directly from any AI agent.

EODHD Financial
10 toolsAccess real-time and historical stock market data — prices, fundamentals, dividends, splits and more for global exchanges.

Azure Log Analytics Workspace
1 toolsThis MCP does exactly one thing: it queries logs from a single Azure Log Analytics table. That's its only function, and nothing else. Incredible for giving your AI secure observability.
