Koskamo

ProsodyAI MCP

An official MCP server by ProsodyAI that allows AI assistants like Claude and ChatGPT to generate speech in 59 languages using OpenAI and Gemini voices, create AI video clips via Veo, Seedance, and Wan 3.0, edit existing videos, and manage account allowances directly through chat interfaces.

Visit ProsodyAI

Endpoint and access

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

ProsodyAI MCP logo, by ProsodyAIVendor evidenceStreamable HTTPOAuth sign-inEndpoint checked 2026-11-01Operated by ProsodyAI
You need:Add ProsodyAI as a connector with the server URL `https://api.prosodyai.ai/mcp` and sign in with your ProsodyAI account
MCP endpoint (Streamable HTTP)
https://api.prosodyai.ai/mcp
Vendor documentation

What you can do with it

  • Generate text-to-speech audio in 59 languages with style direction
  • Create AI video clips from text descriptions using Veo or Wan 3.0
  • Edit videos by merging clips, trimming, or adding burned-in subtitles
  • Check remaining monthly plan allowance and character usage

Source and maintenance

Vendor evidenceRegistry 1.0.0
mcp-registry: ai.prosodyai/prosodyai@1.0.0Project 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
1697 ms
95th percentile latency
1697 ms

Maintenance history

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

  • · probe · passed · 1697 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 prosodyai-mcp https://api.prosodyai.ai/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 prosodyai-mcp --url https://api.prosodyai.ai/mcp

Cursor

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

Cline

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

VS Code

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

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