Native agent tool
Expose video analysis through MCP instead of pasting transcripts or manually describing what happened.
Video tools for AI agents
Let your AI agent reason over video with MCP.
VideoLens ships a Model Context Protocol server that exposes video resolution, extraction, analysis, report retrieval, and follow-up Q&A as tools an agent can call.
Transcript + frame vision + OCR
Timestamp citations
~1,500 supported platforms
Markdown, PDF, and JSON
The direct answer
What VideoLens does
Agents are good at reasoning over text and code, but video is usually an opaque attachment. The VideoLens MCP server converts video into a structured timeline and evidence-grounded analysis that an MCP client can use in a larger workflow.
Because the extraction is cached and the output is structured, an agent can analyze once, ask more questions, and pass findings into issue, documentation, or development workflows.
Why it helps
From linear video to reviewable evidence
Structured evidence
Return machine-readable findings, timestamps, recommendations, and task objects rather than an ungrounded paragraph.
Local control
Run the open-source server in your environment with your own OpenAI key and local cache.
Workflow
How the analysis works
Every stage is explicit and cached so the source can be checked and the analysis can be reused.
Install VideoLens and configure your OpenAI API key.
Add the VideoLens MCP server command to a compatible client.
Ask the agent to analyze a local file or supported URL with a mode and prompt.
Let the agent inspect the structured result, ask follow-ups, and use validated findings downstream.
Output
What the report gives you
- Source metadata and processing status
- Cached timestamped timeline
- Structured analysis with evidence
- Follow-up answers grounded in the same timeline
Important limitation: MCP gives an agent tool access; it does not remove the need for permissions, cost controls, source validation, or human review. Treat video content as untrusted input and scope agent capabilities appropriately.
FAQ
Common questions
Which AI clients can use the VideoLens MCP server?
Any client that supports standard local MCP servers can potentially use it, including agent-oriented coding tools. Configuration details vary by client.
Does the MCP server upload my videos to VideoLens?
No VideoLens account or central video store is involved. The local pipeline processes the source and calls OpenAI with your API key for transcription and vision tasks.
Can an agent ask follow-up questions without reprocessing the video?
Yes. Follow-up Q&A operates on the cached timeline, so the expensive extraction work does not need to be repeated.
Related guides
Explore more VideoLens workflows
Turn the next video into evidence.
Try the hosted app, self-host the MIT-licensed core, or connect VideoLens to an MCP client.