npm @runapi.ai/elevenlabs-mcpstdioApache-2.0updated 1mo ago
ElevenLabs API access for AI agents: run audio generation operations, poll asynchronous results, and check pricing through one focused MCP server.
¿Qué puedes hacer con elevenlabs mcp?
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 5 endpoints and 6 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.
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
| Tool | Auth | Purpose |
|---|---|---|
isolate_audio |
Yes | Create an ElevenLabs isolate audio task and optionally wait for a terminal status. Returns the task id, status, and output URLs. |
speech_to_text |
Yes | Create an ElevenLabs speech to text task and optionally wait for a terminal status. Returns the task id, status, and output URLs. |
text_to_dialogue |
Yes | Create an ElevenLabs text to dialogue task and optionally wait for a terminal status. Returns the task id, status, and output URLs. |
text_to_sound |
Yes | Create an ElevenLabs text to sound task and optionally wait for a terminal status. Returns the task id, status, and output URLs. |
text_to_speech |
Yes | Create an ElevenLabs text to speech task and optionally wait for a terminal status. Returns the task id, status, and output URLs. |
get_task |
Yes | Fetch the current status and latest payload for an existing task. |
check_pricing |
No | Look up current pricing for a ElevenLabs model and endpoint. |
Models
ElevenLabs covers 6 model variants across 5 endpoints. Each tool accepts the models listed for it:
| Tool | Models |
|---|---|
isolate_audio |
audio-isolation |
speech_to_text |
speech-to-text |
text_to_dialogue |
text-to-dialogue-v3 |
text_to_sound |
sound-effect-v2 |
text_to_speech |
text-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 isolate audio task with RunAPI.
The assistant can call check_pricing, then isolate_audio, 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:
RUNAPI_API_KEYenvironment variable, useful for headless and CI hosts~/.config/runapi/config.json, created by the MCPlogintool orrunapi login- 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
| Resource | URL |
|---|---|
| ElevenLabs model page | https://runapi.ai/models/elevenlabs |
| npm package | @runapi.ai/elevenlabs-mcp |
| GitHub repository | runapi-ai/elevenlabs-mcp |
| RunAPI MCP overview | runapi.ai/mcp |
| RunAPI docs | runapi.ai/docs |
License
Licensed under the Apache License, Version 2.0.
Instalación
Añade elevenlabs mcp a tu cliente. Elige el que uses.
claude mcp add elevenlabs-mcp -- npx -y @runapi.ai/elevenlabs-mcpcodex mcp add elevenlabs-mcp -- npx -y @runapi.ai/elevenlabs-mcpamp mcp add elevenlabs-mcp -- npx -y @runapi.ai/elevenlabs-mcp{
"mcpServers": {
"elevenlabs-mcp": {
"command": "npx",
"args": [
"-y",
"@runapi.ai/elevenlabs-mcp"
]
}
}
}Add to `claude_desktop_config.json`, then restart Claude Desktop.
{
"mcpServers": {
"elevenlabs-mcp": {
"command": "npx",
"args": [
"-y",
"@runapi.ai/elevenlabs-mcp"
]
}
}
}Add to `~/.cursor/mcp.json`, or `.cursor/mcp.json` for a single project.
code --add-mcp '{"name":"elevenlabs-mcp","command":"npx","args":["-y","@runapi.ai/elevenlabs-mcp"]}'Or add the block manually to `.vscode/mcp.json` under `servers`.
{
"mcpServers": {
"elevenlabs-mcp": {
"command": "npx",
"args": [
"-y",
"@runapi.ai/elevenlabs-mcp"
]
}
}
}Add to `~/.codeium/windsurf/mcp_config.json`.
{
"mcpServers": {
"elevenlabs-mcp": {
"command": "npx",
"args": [
"-y",
"@runapi.ai/elevenlabs-mcp"
]
}
}
}Add to `cline_mcp_settings.json` via the MCP Servers panel.
{
"mcpServers": {
"elevenlabs-mcp": {
"command": "npx",
"args": [
"-y",
"@runapi.ai/elevenlabs-mcp"
]
}
}
}Add to `~/.gemini/settings.json`.
{
"mcpServers": {
"elevenlabs-mcp": {
"type": "local",
"command": "npx",
"args": [
"-y",
"@runapi.ai/elevenlabs-mcp"
],
"tools": [
"*"
]
}
}
}Add to `~/.copilot/mcp-config.json`, or run `/mcp add` inside the CLI.
{
"context_servers": {
"elevenlabs-mcp": {
"command": {
"path": "npx",
"args": [
"-y",
"@runapi.ai/elevenlabs-mcp"
]
}
}
}
}Add to your Zed `settings.json`.
npx -y @runapi.ai/elevenlabs-mcpRun `goose configure`, choose **Add Extension → Command-line Extension**, and paste this command.
7 herramientas
elevenlabs mcp expone 7 herramientas a un agente conectado.
- isolate_audio
- Yes
- speech_to_text
- Yes
- text_to_dialogue
- Yes
- text_to_sound
- Yes
- text_to_speech
- Yes
- get_task
- Yes
- check_pricing
- No
Puntuación
81 / 100
Excelente
- Documentación25/25
- Mantenimiento22/25
- Confianza16/20
- Capacidad6/15
- Instalación12/15
- Documents what it does and how to connect
- Has a resolvable package or endpoint
- Exposes at least one tool, prompt or resource
- README has substantive content
- Includes a code example
- Documents its configuration
- Mentions credentials or security posture
- Last commit 32 days ago
- Has a release history
- Repository is not archived
- Licensed Apache-2.0
- Namespace verified in the official MCP registry
- Claimed by its owner
- Published under an organisation
- 7 tool(s) documented
- Provides prompt templates
- Provides resources
- 12 documented install method(s)
- Published to a package registry
- Offers a hosted endpoint — no local install
Historial de versiones
| Versiones | Publicada |
|---|---|
| 0.1.7Última | 31 jul 2026 |
| 0.1.6 | 8 jul 2026 |
| 0.1.5 | 8 jul 2026 |
| 0.1.4 | 24 jun 2026 |
| 0.1.3 | 24 jun 2026 |
| 0.1.2 | 24 jun 2026 |
| 0.1.1 | 24 jun 2026 |
| 0.1.0 | 23 jun 2026 |