MCP server · Imaginode

Imaginode MCP Server

Official hosted MCP server exposing Imaginode's generation pipeline (images, video, model catalog, job status) to any MCP client over Streamable HTTP. Stateless; billed against the connected account's shared credit balance at the same per-generation prices as the canvas. tools/list answers anonymously with full inputSchemas; tool calls require an account API key (imk_ prefix) sent as "Authorization: Bearer imk_...". Each key is limited to 10 generations per minute and failed generations are refunded automatically.

View descriptor → Imaginode provider profile

One-click install for Cursor, VS Code, Claude, and 20+ other MCP clients, powered by API Commons MCP Install — visit install.apicommons.org for more information.

⚠ Proposed MCP surface. No official hosted MCP server was found for Imaginode. The tools below are a candidate set derived from this provider's API, and the link points at the source descriptor rather than a live server. If Imaginode publishes an official server, this page will update to it on the next build.

Provider: Imaginode Type: Candidate descriptor Transport: streamable-http Host: raw.githubusercontent.com

Descriptor

https://raw.githubusercontent.com/api-evangelist/imaginode/refs/heads/main/mcp/imaginode-mcp.yml

Candidate descriptor · transport streamable-http

Tools

list_models — List the available AI models with their kind (image, video), default cost in credits (1 credit = $0.012, or 0.01 EUR when billed in euros) and billable options.
generate_image — Generate an image from a text prompt (optionally with input images for editing or reference). Waits for the result and returns the image URL. Costs credits; failures are refunded.
generate_video — Start a video generation from a text prompt (optionally with a start image). Returns immediately with a request_id and the cost in credits; poll get_generation_status every 30 seconds until it completes.
get_generation_status — Check a generation started with generate_video (or a generate_image that timed out). Returns running, completed (with output URLs) or failed (refunded).

About MCP

The Model Context Protocol (MCP) is an open protocol Anthropic introduced for connecting LLM-based agents to external tools and data sources. Providers publish MCP servers that expose their API surface as structured, discoverable tools — an MCP-compatible client (Claude Desktop, Cursor, Cline, Continue, etc.) can connect to the server and call its tools without any per-provider integration code.

Browse every MCP server on the APIs.io network or compare with the broader Agent Skill surfaces of the same providers.

Work with this as data

Every MCP server here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for mcp servers

4 MCP tools reach this

find_mcpBrowse and filter every MCP server in the catalog.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

All 92 tools →

Call it yourself

curl for this page

This MCP server

curl "https://apis.io/api/v1/mcp/imaginode-mcp-server"

All mcp servers

curl "https://apis.io/api/v1/mcp?limit=25"

Discovery needs no key. Ratings and market analysis are Pro.

Get an API key

Free tier, no form to fill in. Signing in shares your email address with us — we store it to create your key and to recognise you if you sign in with another provider. See our Privacy Policy and Terms.

GitHub Google LinkedIn

A second provider on the same verified email joins the account you already have.