ElevenLabs Agents

io.github.mindstonePublished by GitHub account mindstonev0.2.1Updated Oct 24, 2026

ElevenLabs Conversational AI: agents, calls, conversations, and knowledge base for MCP hosts

The publisher's own server: ElevenLabs

Overview

AI-generated overview

Manages ElevenLabs Conversational AI voice agents: author agents, review call transcripts, place outbound and batch calls, and edit the knowledge base.

What you can do
  • Create, read, update, duplicate and delete voice agents, and simulate a conversation to test one
  • List, add and inspect workspace agent tools such as webhook and client tools
  • List conversations, read transcripts and analysis, download recordings, and submit like/dislike feedback
  • List, import, update and delete phone numbers and their agent assignments
  • Place a single outbound call, and submit, list, inspect, cancel or retry scheduled batch calls
  • List, read, add, delete and re-index knowledge-base documents, and check RAG index status
When to use it
Useful when you work with ElevenLabs Conversational AI and want an assistant to draft or tune voice agents, review past call transcripts and recordings, run or schedule outbound calling campaigns, or keep the agent knowledge base current without switching to the ElevenLabs dashboard.
Requirements
Runs locally via npx with Node.js 20+ and npm. Requires an ElevenLabs API key with Conversational AI access, supplied as ELEVENLABS_API_KEY. Optional MCP_WORKSPACE_PATH sets a sandbox root for knowledge-base file uploads. Network access to the ElevenLabs API is needed.
Before you install
The API key is a secret and can be saved through a configure tool. Outbound and batch calls reach real phone numbers and incur ElevenLabs billing; scheduled batches keep running on ElevenLabs servers after the client closes, so monitor or cancel them. Many tools write or delete upstream data, including agents, phone numbers and knowledge-base documents. Conversation transcripts contain caller-controlled speech and are wrapped as untrusted content. Server-side URL fetching of webhooks and…

Installation

In SourceWeft

  1. Open ElevenLabs Agents in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

@mindstone/mcp-server-elevenlabs-agents

[License: FSL-1.1-MIT]

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

[Add to Cursor] [Add to VS Code] [Add to VS Code Insiders]

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)
json
{  "mcpServers": {    "ElevenLabs Agents": {      "command": "npx",      "args": [        "-y",        "@mindstone/mcp-server-elevenlabs-agents"      ],      "env": {        "ELEVENLABS_API_KEY": ""      }    }  }}

Quick Start

Install & build

bash
cd <path-to-repo>/connectors/elevenlabs-agentsnpm installnpm run build

Local

bash
node dist/index.js

Configuration

Environment variables

  • ELEVENLABS_API_KEY — ElevenLabs API key (starts with sk_)
  • MCP_WORKSPACE_PATH — optional sandbox root for knowledge-base file uploads
  • MCP_HOST_BRIDGE_STATE — optional path to a host bridge state file used for credential management
  • MINDSTONE_REBEL_BRIDGE_STATE — backwards-compatible alias for MCP_HOST_BRIDGE_STATE

Host configuration example

json
{  "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 workspace
  • get_agent — Get one agent, including prompts and nested conversation config
  • create_agent — Create a new agent from a user-friendly authoring surface
  • update_agent — Partially update one agent via PATCH deep-merge semantics
  • duplicate_agent — Duplicate an existing agent before experimenting
  • delete_agent — Permanently remove an agent
  • simulate_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 agents
  • add_agent_tool — Add a webhook or client tool to the workspace

Conversations

  • list_conversations — List conversations, optionally filtered by agent/date/success
  • get_conversation — Get a full conversation transcript and analysis
  • get_conversation_audio — Download the conversation recording to a tmp file
  • submit_conversation_feedback — Submit like/dislike feedback on a reviewed conversation

Phone numbers

  • list_phone_numbers — List configured phone numbers
  • get_phone_number — Get one phone number and its label/assignment
  • import_phone_number — Import a Twilio or SIP trunk number into the workspace
  • update_phone_number — Update one phone number label and/or assigned agent
  • delete_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 future
  • list_batch_calls — List recent batch-call jobs in the workspace
  • get_batch_call — Inspect one batch job, including per-recipient statuses
  • cancel_batch_call — Cancel a queued or scheduled batch job
  • retry_batch_call — Retry a previously submitted batch job

Knowledge base

  • list_knowledge_base_docs — List knowledge-base documents
  • get_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 mode
  • delete_knowledge_base_document — Delete a KB document, optionally with force
  • get_knowledge_base_rag_index_status — Check whether a document is indexed and retrievable
  • rebuild_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.

Source: connectors/elevenlabs-agents/README.md at commit 22c4611

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v0.2.1LatestSep 16, 2026

Score

40% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts

    Declare a license in the repository or the registry entry.

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