mcpField
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elevenlabs-mcp

elevenlabs-mcp

Local
github.com/runapi-aiMedia & Design0Updated 1w ago

About elevenlabs-mcp

elevenlabs-mcp is a RunAPI MCP server for the ElevenLabs model line, intended for AI agents that need audio generation, task tracking, and pricing lookup. Its scope is limited to this model line.

Key features

  1. 01Generate text-to-dialogue audio
  2. 02Generate text-to-speech audio
  3. 03Check asynchronous task status
  4. 04Look up model and endpoint pricing

Use cases

  1. 01Create dialogue audio from text
  2. 02Convert text into speech
  3. 03Check a generation task later

MCP support

It exposes ElevenLabs dialogue and speech generation, task status, and pricing tools to MCP-compatible clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"runapi-builder-elevenlabs": {
"command": "npx",
"args": [
"-y",
"@runapi.ai/elevenlabs-mcp"
],
"env": {
"RUNAPI_API_KEY": "<RUNAPI_API_KEY>"
}
}
}
}
Run commandnpx -y @runapi.ai/elevenlabs-mcp
Environment variables to set
RUNAPI_API_KEYSecretOptional RunAPI API key for headless hosts. Interactive MCP hosts can use the login tool, which writes shared RunAPI config.

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@runapi.ai/elevenlabs-mcp0.3.1

Tools

8

Saved tool list · updated 1w ago

ParameterTypeRequiredDescription
forcebooleanNoRe-run browser login when the current credential comes from the local config file.

Details

From the project README

RunAPI ElevenLabs MCP Server

ElevenLabs API access for AI agents: run audio generation operations, poll asynchronous results, and check pricing through one focused MCP server.

Works with Claude Code, Codex, Cursor, Windsurf, VS Code, Roo Code, and any MCP-compatible host.

npm version GitHub repository Apache-2.0 license MCP Server 3 models

Install | Tools | Models | Agent Prompts | Configuration | Links


Why This Package?

@runapi.ai/elevenlabs-mcp is a focused Model Context Protocol server for the ElevenLabs model line on RunAPI. It gives MCP-compatible assistants direct access to 2 endpoints and 3 model variants without loading the full RunAPI catalog.

Use this per-model server when an agent should stay scoped to ElevenLabs. Use @runapi.ai/mcp when one assistant should discover every RunAPI model line.

audio-isolation was retired on 2026-10-09T00:00:00Z. New requests return HTTP 410 before task creation or balance deduction. Existing tasks can still be queried. This model ID is not mapped to another model.

sound-effect-v2 was retired on 2026-10-14T00:00:00Z. New requests return HTTP 410 before task creation or balance deduction. Existing tasks can still be queried. This model ID is not mapped to another model.

speech-to-text was retired on 2026-10-14T00:00:00Z. New requests return HTTP 410 before task creation or balance deduction. Existing tasks can still be queried. This model ID is not mapped to another model.


Install

Add it to Claude Code:

claude mcp add elevenlabs -s user -- npx -y @runapi.ai/elevenlabs-mcp

Use project scope when the server should be shared with a repository:

claude mcp add elevenlabs -s project -- npx -y @runapi.ai/elevenlabs-mcp

Codex, Cursor, Windsurf, VS Code, Roo Code, and other MCP hosts can use the same stdio command:

{
  "mcpServers": {
    "elevenlabs": {
      "command": "npx",
      "args": ["-y", "@runapi.ai/elevenlabs-mcp"]
    }
  }
}

check_pricing works before sign-in. For task creation and status polling, ask your assistant to call the login tool. It opens a browser login and saves credentials to ~/.config/runapi/config.json, the same file used by runapi login. Headless and CI hosts can still set RUNAPI_API_KEY before starting the MCP host.

Ready-made examples are in examples/ for Claude, Cursor, Windsurf, VS Code, and Roo Code.


Tools

ToolAuthPurpose
text_to_dialogueYesCreate an ElevenLabs text to dialogue task and optionally wait for a terminal status. Returns the task id, status, and output URLs.
text_to_speechYesCreate an ElevenLabs text to speech task and optionally wait for a terminal status. Returns the task id, status, and output URLs.
get_taskYesFetch the current status and latest payload for an existing task.
check_pricingNoLook up current pricing for a ElevenLabs model and endpoint.

Models

ElevenLabs covers 3 model variants across 2 endpoints. Each tool accepts the models listed for it:

ToolModels
text_to_dialoguetext-to-dialogue-v3
text_to_speechtext-to-speech-multilingual-v2, text-to-speech-turbo-v2.5

Model availability can change between releases. Use check_pricing or the ElevenLabs model page for the current catalog view.


Agent Prompts

Ask your assistant in natural language; it can inspect pricing, create the task, and return the task id plus output URLs.

Create a task
Run an ElevenLabs text to dialogue task with RunAPI.

The assistant can call check_pricing, then text_to_dialogue, and return the task id, status, and output URLs.

Submit without waiting
Create the task but don't wait for it to finish.

The assistant calls the create tool with wait: false and returns the task id. Check on it later with get_task.

Check pricing before creating
Check current ElevenLabs pricing, then create the task if it matches my request.

The assistant calls check_pricing and can link to the ElevenLabs model page for the canonical catalog entry.


Configuration

The server resolves auth in this order:

  1. RUNAPI_API_KEY environment variable, useful for headless and CI hosts
  2. ~/.config/runapi/config.json, created by the MCP login tool or runapi login
  3. No key, which still allows check_pricing

The config file is normally managed by login. A pre-provisioned headless config can use:

{
  "apiKey": "your_runapi_key"
}

Do not commit real API keys.


Links

ResourceURL
ElevenLabs model pagehttps://runapi.ai/models/elevenlabs
npm package@runapi.ai/elevenlabs-mcp
GitHub repositoryrunapi-ai/elevenlabs-mcp
RunAPI MCP overviewrunapi.ai/mcp
RunAPI docsrunapi.ai/docs

License

Licensed under the Apache License, Version 2.0.

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.