Koskamo

Wireflow MCP

Wireflow MCP allows AI agents to build, inspect, and run AI workflows across 100+ image, video, and audio models. It enables generating media, editing video timelines, managing executions, and publishing social content through a unified canvas and API, authenticated via OAuth.

Endpoint and access

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

Wireflow MCP logo, by WireflowCommunity listingStreamable HTTPOAuth sign-inEndpoint checked 2026-11-01Published by Wireflow
You need:sign in with your Wireflow accountsign in with OAuthstart the server and sign in
MCP endpoint (Streamable HTTP)
https://www.wireflow.ai/api/mcp
Vendor documentation

What you can do with it

  • Build and run AI workflows for image and video generation
  • Edit video timelines and render final clips
  • Manage workflow executions and view results
  • Publish content to connected social media accounts

Source and maintenance

Community listingRegistry 1.1.0
mcp-registry: io.github.wireflowINC/wireflow@1.1.0Project website

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
269 ms
95th percentile latency
269 ms

Maintenance history

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

  • · probe · passed · 269 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 wireflow-mcp https://www.wireflow.ai/api/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 wireflow-mcp --url https://www.wireflow.ai/api/mcp

Cursor

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

Cline

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

VS Code

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

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.
Claude Desktop configuration
{
  "mcpServers": {
    "wireflow-mcp": {
      "url": "https://www.wireflow.ai/api/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": {
    "wireflow-mcp": {
      "serverUrl": "https://www.wireflow.ai/api/mcp"
    }
  }
}

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