Bring Video Hosting
to LlamaIndex
Learn how to connect Gumlet to LlamaIndex 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 LlamaIndex?
LlamaIndex agents combine Gumlet 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 Gumlet tool responses with indexed documents for comprehensive, grounded answers
- —
Query pipeline framework lets you chain Gumlet tool calls with transformations, filters, and re-rankers in a typed pipeline
- —
Multi-source reasoning: agents can query Gumlet, a vector store, and a SQL database in a single turn and synthesize results
- —
Observability integrations show exactly what Gumlet tools were called, what data was returned, and how it influenced the final answer
Gumlet in LlamaIndex
Gumlet and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Gumlet to LlamaIndex 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 LlamaIndex
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 LlamaIndex 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 LlamaIndex
Every tool call from LlamaIndex 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 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.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query Gumlet tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp