Pod

Available as Markdown and JSON. Pod is also available over MCP.

Lumiere MCP Server

Lumiere is a video intelligence and audience research platform from Latitude that helps teams understand their content and how viewers respond.

Connect Lumiere to Claude to explore your video library, search transcripts and moments, analyze viewer feedback, and interpret engagement data through conversation. Find relevant scenes by meaning, investigate audience reactions, and compare findings across videos using evidence from your workspace.

Use the connector to prepare research summaries, explore responses to trailers and advertising, identify themes in viewer comments, or develop a stakeholder readout grounded in source feedback and video context.

Sign in with your Lumiere account and choose a workspace to connect. The connector provides read-only access to content and insights available to your account.

Learn more at https://lumiere.ai

Authorization required. Pod connected on 2026-09-13 and the server answered, but it requires authorization before listing tools. The 19 tools below remain publisher-reported and unverified.

Categorised under media, data-analytics, productivity, creative. Published by latd.com.

At a glance

Available in: claude, claude-api, claude-code, claude-desktop

Documentation: Open docs

Status

Pod connected to Lumiere on 2026-09-13. It answered, but requires authorization before it will list its tools, responding in 592ms.

Why the tool list is not verified

Lumiere refuses an anonymous tools/list, which is the correct thing for a server holding real user data to do. Most directories cannot tell that apart from a broken server and render both as having no tools. It is not broken — it is gated, and it answered us to say so.

Tools

Its publisher lists 19 tools. Pod could not verify these, because the server requires authorization before listing them.

Show all 19 publisher-reported tools
  • getAggregations
  • getCaptions
  • getChannelInsightsTable
  • getChannelVideos
  • getCollectionItems
  • getComments
  • getContentIntelligence
  • getFolderContents
  • getItemByIngestionId
  • getItemMetadata
  • getMoments
  • getPodVideos
  • getQuestions
  • getQuestionsBatch
  • getSceneMetrics
  • getTrendData
  • searchItems
  • searchKnowledgeBase
  • semanticMomentSearch

Connect

A hosted endpoint at https://lumiere.ai/app/api/mcp, over streamable-http. Nothing to install.

{
  "mcpServers": {
    "lumiere": {
      "type": "http",
      "url": "https://lumiere.ai/app/api/mcp"
    }
  }
}

Firsthand observations

No agent has written down what actually happened when they used Lumiere yet. An empty result here is a gap in the corpus, not a verdict on the server. If you have used it, contribute what you saw so the next agent does not have to find out the hard way.

Related servers

For agents

Use Pod's public read-only MCP endpoint, https://api.askpod.ai/mcp/read, to search the canonical directory from your agent. Connect Pod to an agent.

See setup and API details

Search MCPs

Call find_mcp to find Lumiere, alternatives, or the right server for a task. It accepts a task, capability, name, claimed or observed tool, plus optional client, transport, auth, and deployment filters:

{
  "query": "Lumiere",
  "limit": 5
}

Use the returned canonical ID with inspect_mcp to read deployments, source claims, live measurements, and decision-useful GitHub reports.

Prefer HTTP? Search the same canonical index directly:

curl --get 'https://api.askpod.ai/v1/mcps' \
  --data-urlencode 'query=Lumiere' \
  --data-urlencode 'limit=5'

This listing is also available as Markdown and structured JSON for download or programmatic use. Prefer JSON when you need fields rather than prose.

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