Video Generation Cost Estimator MCP Server

by 702exec Your server? Claim it

answering

Video Generation Cost Estimator is answering right now. Last checked 10 min ago. It exposes 3 tools.

Video generation cost estimates across providers, with provenance, freshness, and confidence.

Uptime history 91 days of history

91 days agonow

100.0%

Uptime 24h

91 of 91 checks

Tools

read from the server

269 ms

Response time

average over 24h

open, no key

Access

streamable-http

Nothing serious here today

Today is the operative word: we check Video Generation Cost Estimator every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 10 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add agent-data-platform --transport http https://agent-data-platform.onrender.com/mcp

Settings → Connectors → Add custom connector, then paste this address

https://agent-data-platform.onrender.com/mcp

~/.codex/config.toml

[mcp_servers.agent-data-platform]
url = "https://agent-data-platform.onrender.com/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "agent-data-platform": {
      "url": "https://agent-data-platform.onrender.com/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "agent-data-platform": {
      "type": "http",
      "url": "https://agent-data-platform.onrender.com/mcp"
    }
  }
}

Available tools 3

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

compare

compare_providers

List raw, provenance-backed pricing rows for AI video generation providers and models. Every row carries source_url and verified_at. Optionally filter by provider slug (e.g. "fal", "google", "kling", "luma", "runway", "higgsfield") or model slug.

estimate

estimate_video_cost

Estimate the USD cost of generating AI video across providers (fal.ai, Runway, Google Veo, Kling, Luma, Higgsfield). Returns estimates sorted cheapest-first, each with provenance (source_url), freshness (verified_at), and a confidence level. Credit-economy providers are normalized to USD. Clip-length limits are handled by assuming stitched generations (noted per estimate).

pricing

get_pricing_changes

Retrieve the append-only change log of pricing updates, model deprecations, and verification events. Useful for detecting price changes since a previous check. Defaults to the last 30 days.

Endpoints

URL	Transport	State	Latency	Checked
https://agent-data-platform.onrender.com/mcp	streamable-http	answering	232 ms	10 min ago

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Video Generation Cost Estimator — questions

Answers built from our own checks of this server.

What can Video Generation Cost Estimator do?

It exposes 3 tools, read directly from the server on our last check. Among them: compare_providers, estimate_video_cost, get_pricing_changes. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is Video Generation Cost Estimator working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 269 ms. The bar chart above shows every period we have measured.

How do I connect Video Generation Cost Estimator?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does Video Generation Cost Estimator need an API key?

No. Video Generation Cost Estimator completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 3 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is Video Generation Cost Estimator?

It answers our handshake in 269 ms on average, which is faster than 53% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.