About ElevenLabs Agents
This MCP server lets MCP hosts manage ElevenLabs Conversational AI voice agents and their calling workflows. It covers agent authoring and testing, conversation review, phone-number assignments, outbound and batch calls, and knowledge-base documents; an API key with Conversational AI access is required.
Key features
- 01Create, inspect, update, and test voice agents
- 02Review conversation transcripts and recordings
- 03Manage phone numbers and agent assignments
- 04Place outbound calls and manage scheduled batches
- 05Add and index knowledge-base documents
- 06Inspect agent tools and conversation feedback
Use cases
- 01Author and simulate a voice agent before calls
- 02Review call transcripts and recordings
- 03Schedule, monitor, or cancel recipient batches
- 04Add documents and check their retrieval index
MCP support
Exposes 31 tools to MCP hosts for managing ElevenLabs Conversational AI agents, conversations, calls, phone numbers, and knowledge-base documents. Requires an `ELEVENLABS_API_KEY` with Conversational AI access.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
npx -y @mindstone/mcp-server-elevenlabs-agentsELEVENLABS_API_KEYSecretElevenLabs API key (starts with sk_)MCP_WORKSPACE_PATHOptional workspace root for sandboxed knowledge-base file uploadsLocal servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
Tools
31Saved tool list · updated 2w ago
| Parameter | Type | Required | Description |
|---|---|---|---|
| api_key | string | Yes | ElevenLabs API key (starts with "sk_"). |
Details
From the project README@mindstone/mcp-server-elevenlabs-agents
ElevenLabs Conversational AI MCP server for Model Context Protocol hosts. Inspect and author voice agents, review conversation transcripts and recordings, manage phone-number assignments, place outbound calls, submit or monitor scheduled batch calls, and write to the knowledge base through the ElevenLabs ConvAI API.
Status
- Version: 0.2.1 · npm
- Auth: API key (
ELEVENLABS_API_KEY) - Tools: 31 (configure, agents, agent tools, conversations, phone numbers, outbound calls, batch calls, knowledge base)
- Surface: cloud-api
- Machine-readable:
STATUS.json
Requirements
- Node.js 20+
- npm
- An ElevenLabs API key with Conversational AI access
One-click install
After clicking the button, your host will prompt you to fill: ELEVENLABS_API_KEY.
Manual config for Claude Desktop / Claude Code / Goose / Continue.dev (ElevenLabs Agents)
{
"mcpServers": {
"ElevenLabs Agents": {
"command": "npx",
"args": [
"-y",
"@mindstone/mcp-server-elevenlabs-agents"
],
"env": {
"ELEVENLABS_API_KEY": ""
}
}
}
}
Quick Start
Install & build
cd <path-to-repo>/connectors/elevenlabs-agents
npm install
npm run build
Local
node dist/index.js
Configuration
Environment variables
ELEVENLABS_API_KEY— ElevenLabs API key (starts withsk_)MCP_WORKSPACE_PATH— optional sandbox root for knowledge-base file uploadsMCP_HOST_BRIDGE_STATE— optional path to a host bridge state file used for credential managementMINDSTONE_REBEL_BRIDGE_STATE— backwards-compatible alias forMCP_HOST_BRIDGE_STATE
Host configuration example
{
"mcpServers": {
"ElevenLabs Agents": {
"command": "node",
"args": ["<path-to-repo>/connectors/elevenlabs-agents/dist/index.js"],
"env": {
"ELEVENLABS_API_KEY": "your-api-key"
}
}
}
}
Tools (31)
Configuration
configure_elevenlabs_agents_api_key— Save your ElevenLabs API key
Agents
list_agents— List voice agents in the workspaceget_agent— Get one agent, including prompts and nested conversation configcreate_agent— Create a new agent from a user-friendly authoring surfaceupdate_agent— Partially update one agent via PATCH deep-merge semanticsduplicate_agent— Duplicate an existing agent before experimentingdelete_agent— Permanently remove an agentsimulate_conversation— Test an agent with a simulated user message before telephony work
Agent tools (workspace tools)
list_agent_tools— List webhook/client/system tools available to agentsadd_agent_tool— Add a webhook or client tool to the workspace
Conversations
list_conversations— List conversations, optionally filtered by agent/date/successget_conversation— Get a full conversation transcript and analysisget_conversation_audio— Download the conversation recording to a tmp filesubmit_conversation_feedback— Submit like/dislike feedback on a reviewed conversation
Phone numbers
list_phone_numbers— List configured phone numbersget_phone_number— Get one phone number and its label/assignmentimport_phone_number— Import a Twilio or SIP trunk number into the workspaceupdate_phone_number— Update one phone number label and/or assigned agentdelete_phone_number— Permanently remove an imported phone number
Outbound calls
make_outbound_call— Place one outbound call after resolving the phone-number provider automatically
Batch calls
submit_batch_call— Submit a multi-recipient batch, optionally scheduled for the futurelist_batch_calls— List recent batch-call jobs in the workspaceget_batch_call— Inspect one batch job, including per-recipient statusescancel_batch_call— Cancel a queued or scheduled batch jobretry_batch_call— Retry a previously submitted batch job
Knowledge base
list_knowledge_base_docs— List knowledge-base documentsget_knowledge_base_doc— Get one knowledge-base document (metadata + /content body, capped ~50KB)add_knowledge_base_document— Add a KB document in text, file, or URL modedelete_knowledge_base_document— Delete a KB document, optionally with forceget_knowledge_base_rag_index_status— Check whether a document is indexed and retrievablerebuild_knowledge_base_rag_index— Trigger (re)indexing of a KB document
Security notes
All external text returned by the ElevenLabs API is wrapped in <untrusted-content> envelopes before it reaches the model. This is especially important for conversation transcripts, which can contain attacker-controlled caller speech. Enveloping is deny-by-default: anything that is not a recognised structural value (IDs, enums, timestamps, phone numbers) is wrapped, including responses whose root is a bare JSON value rather than an object.
The same walk runs on every response surface — agents, conversations, knowledge base, phone numbers, simulations, and outbound/batch calls. No surface carries a list of known prose field names, so a text field added upstream (an agent name, a workflow branch name, a future summary) is enveloped from the day it first appears in a response.
Nor does an unexpected shape route text around the walk. A response whose root is a bare JSON value, a list whose items are bare strings, and a transcript field carrying a string or an object where an array of turns was expected all go through the same deny-by-default walk rather than being returned unchanged.
Because reads come back enveloped, the agent authoring tools strip one envelope from the values they are given. Copying a language, model id, prompt, or advanced_config fragment out of get_agent and back into update_agent therefore stores the original text upstream rather than the envelope around it.
The structural literal exemptions in the walk are path-aware and value-shape-aware, not key-name-based. Inside arbitrary collaborator-authored maps — webhook request_headers, advanced_config passthroughs, JSON-Schema parameter fragments, and the caller-authored open maps submitted with call initiation (conversation_initiation_client_data, conversation_config_override, custom_llm_extra_body, overrides, which ElevenLabs reflects on the conversation, call, and batch-call surfaces) — key names are data rather than schema, so no string stays literal there at all: a property named status in a request-header map is collaborator text, not a trusted enum, and is enveloped whatever its value looks like. Because advanced_config is deep-merged into the config body before it is sent upstream, its reflected shape carries no advanced_config ancestor to key off; on the agent and workspace-tool surfaces a string therefore also stays literal only when every ancestor key from the surface root is a known schema position, so a flattened passthrough fragment (for example tool_config.custom.status) is enveloped however structural its key names and value shape look. Elsewhere on trusted paths, a string only stays literal under id/status/role/type keys when it is id/enum-shaped (no whitespace, no : or /, and not phrase-shaped or built from instruction-shaping words — alphabet shape alone cannot tell an identifier from whitespace-free authored text such as IGNORE_PRIOR_INSTRUCTIONS), under timestamp only when it is ISO-8601-shaped, and under phone-number keys only when it is E.164. Values under credential-shaped keys (token, sid, *_secret, *_password, *_api_key) are replaced with [redacted] instead of being passed on at all, and import_phone_number additionally strips the exact submitted credentials — the Twilio SID/token pair, and SIP trunk credential values such as a trunk username — from any success payload or upstream error detail that reflects them.
URLs the connector asks ElevenLabs to dereference server-side must be public https:// addresses. This covers webhook tools via add_agent_tool, URL-mode knowledge-base documents, and every url-keyed string in the agent authoring tools' advanced_config (create_agent / update_agent) — ElevenLabs fetches custom_llm.url on every conversation turn and dereferences platform_settings webhook URLs, so the merged agent body is validated recursively before any upstream call. Non-HTTP schemes, plain HTTP, embedded credentials, loopback/private/link-local/CGNAT/multicast IP literals (including the cloud-metadata address 169.254.169.254), IPv4-mapped/NAT64/6to4/Teredo and documentation IPv6 ranges, localhost-style hostnames, and single-label hostnames are rejected before any upstream call; trailing root-label dots are stripped before classification, so DNS-equivalent spellings such as localhost. are rejected too. A public hostname can still resolve or redirect to an internal address once ElevenLabs fetches it — that residual DNS/redirect trust boundary is inherent to server-side dereferencing and is not closed by this validation. add_agent_tool's advanced_config deep-merges last but cannot set first-class fields (type, name, description, expects_response, api_schema.url, api_schema.method), and the merged tool config is revalidated before it is sent.
Outbound numbers are validated in E.164 format before any billing-surface call is sent upstream. Scheduled batches run on ElevenLabs' servers even if the client app is closed, so they should be monitored with list_batch_calls / get_batch_call and stopped with cancel_batch_call when needed.
Licence
FSL-1.1-MIT — Functional Source License, Version 1.1, with MIT future licence. The software converts to MIT licence on 2030-04-08.
Comments
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.