Koskamo

MeltFlex MCP

MeltFlex MCP is a Model Context Protocol server that allows AI agents to generate interior designs, video walkthroughs, and 3D models directly from prompts and images. It exposes tools for restyling rooms, converting floor plans to 3D, and placing furniture, billing generations to the user's MeltFlex account credits.

Visit MeltFlex

Endpoint and access

OAuth sign-in: the first time you connect, your client opens the vendor's own authorization prompt in a browser.

MeltFlex MCP logo, by MeltFlexCommunity listingStreamable HTTPOAuth sign-inEndpoint checked 2026-11-07Published by MeltFlex
You need:You need an active subscription (any paid plan).
MCP endpoint (Streamable HTTP)
https://www.meltflexai.com/mcp
Vendor documentation

Checks and signals

Each line is separate evidence, not a trust score.

  • Passed Endpoint answered the live check ·
  • Availability 1 of 1 checks passed in 30 days

What you can do with it

  • Redesign a room photo in a specific style
  • Convert a 2D floor plan into a 3D model
  • Generate a cinematic video walkthrough from a render
  • Place real furniture products into a room photo

Source and maintenance

Community listingRegistry 0.6.0
mcp-registry: io.github.MeltFlexDevs/meltflex@0.6.0Source repositoryProject website
Maintenance checked

Tools

Reported by the attributed source; not independently observed by Koskamo.

No tool definitions available.

30-day availability

Aggregated from read-only remote checks; this is not a tool-execution or security guarantee.

Successful checks
1 of 1 (100%)
Average latency
699 ms
95th percentile latency
699 ms

Maintenance history

Public check and source-refresh events. Editorial and ownership records remain private.

  • · probe · passed · 699 ms · metadata changed · refuses unauthenticated initialize (HTTP 401)

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers the remote server. Use --scope project to write .mcp.json for the repo.
Claude Code configuration
claude mcp add --transport http meltflex-mcp-meltflexai https://www.meltflexai.com/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).
Codex configuration
codex mcp add meltflex-mcp-meltflexai --url https://www.meltflexai.com/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable meltflex-mcp-meltflexai in your MCP settings.
Cursor configuration
{
  "mcpServers": {
    "meltflex-mcp-meltflexai": {
      "url": "https://www.meltflexai.com/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure).
Cline configuration
{
  "mcpServers": {
    "meltflex-mcp-meltflexai": {
      "type": "streamableHttp",
      "url": "https://www.meltflexai.com/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start meltflex-mcp-meltflexai and inspect its tools.
VS Code configuration
{
  "servers": {
    "meltflex-mcp-meltflexai": {
      "type": "http",
      "url": "https://www.meltflexai.com/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.
Gemini CLI configuration
gemini mcp add --transport http meltflex-mcp-meltflexai https://www.meltflexai.com/mcp

Claude Desktop

Open Claude Settings > Connectors > Add custom connector, enter this server URL and enable it for the conversation. This is a manual remote-connector handoff, not a desktop JSON configuration.
Claude Desktop configuration
https://www.meltflexai.com/mcp

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.
Windsurf configuration
{
  "mcpServers": {
    "meltflex-mcp-meltflexai": {
      "serverUrl": "https://www.meltflexai.com/mcp"
    }
  }
}

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