Bring Video Hosting
to Cline
Learn how to connect Gumlet to Cline and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Gumlet MCP Server?
Connect your Gumlet account to any AI agent and take full control of your video hosting and image optimization workflows through natural conversation.
What you can do
- Video Lifecycle — Manage the complete video lifecycle from creating new uploads and retrieving metadata to monitoring transcoding status
- Media Organization — Create and manage collections/folders programmatically to maintain a structured media library
- Visual Control — Automate thumbnail updates by selecting specific video frames or time offsets for perfect visual representation
- Optimization Insights — Monitor real-time video analytics, viewing metrics, and bandwidth usage for every asset in your account
- Image Source Management — List and manage image optimization sources and organization users to ensure high-fidelity delivery
How it works
1. Subscribe to this server
2. Retrieve your API Key from your Gumlet dashboard (Profile icon > API Key)
3. Start managing your video and image infrastructure from Claude, Cursor, or any MCP client
No more manual status checking or complex asset management through slow web dashboards. Your AI acts as your dedicated media infrastructure engineer.
Who is this for?
- Video Platform Developers — automate asset ingestion and monitor transcoding progress through natural language
- Digital Marketers — retrieve engagement analytics and update video thumbnails across multiple collections
- Content Managers — organize large media libraries and manage team access to specific image sources
Built-in capabilities (12)
Add new folder
Upload new video
Remove video asset
Get profile details
Check video stats
Check video status
List image optimized sources
List team members
List folders
List video assets
Get active webhooks
Set thumbnail offset
Why Cline?
Cline operates autonomously inside VS Code. it reads your codebase, plans a strategy, and executes multi-step tasks including Gumlet tool calls without waiting for prompts between steps. Connect 12 tools through Vinkius and Cline can fetch data, generate code, and commit changes in a single autonomous run.
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Cline operates autonomously. it reads your codebase, plans a strategy, and executes multi-step tasks including MCP tool calls without step-by-step prompts
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Runs inside VS Code, so you get MCP tool access alongside your existing extensions, terminal, and version control in a single window
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Cline can create, edit, and delete files based on MCP tool responses, enabling end-to-end automation from data retrieval to code generation
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Transparent execution: every tool call and file change is shown in Cline's activity log for full visibility and approval before committing
Gumlet in Cline
Gumlet and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Gumlet to Cline 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 | 3,400+ 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 Gumlet in Cline
The Gumlet 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 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Cline 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
Gumlet for Cline
Every tool call from Cline to the Gumlet MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I start a video upload?
Use the create_video_upload tool, which will create the asset in your specified collection and provide a temporary upload_url for your file.
Can I update the thumbnail for a video already uploaded?
Yes! The update_video_thumbnail tool allows you to specify a time offset in seconds. Gumlet will extract that specific frame and set it as the new thumbnail.
Does it support viewing stats and bandwidth usage?
The get_video_analytics tool provides detailed viewing metrics and bandwidth consumption data for any video ID in your account.
How does Cline connect to MCP servers?
Cline reads MCP server configurations from its settings panel in VS Code. Add the server URL and Cline discovers all available tools on initialization.
Can Cline run MCP tools without approval?
By default, Cline asks for confirmation before executing tool calls. You can configure auto-approval rules for trusted servers in the settings.
Does Cline support multiple MCP servers at once?
Yes. Configure as many servers as needed. Cline can use tools from different servers within the same autonomous task execution.
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