ElevenLabs Agents Platform MCP
MCP server giving Claude full control over ElevenLabs Conversational AI agents, conversations, knowledge base, tools, tests, telephony, and workspace settings.
README
ElevenLabs Agents Platform — MCP Server
Local MCP server (stdio) that gives Claude full control of the ElevenLabs Agents Platform (Conversational AI): agents, conversations, knowledge base, tools, tests, telephony, batch calling, and workspace settings.
Tools (50)
| Group | Tools |
|---|---|
| Agents | el_list_agents, el_get_agent, el_create_agent, el_update_agent, el_delete_agent, el_duplicate_agent, el_get_agent_link, el_simulate_conversation |
| Conversations | el_list_conversations, el_get_conversation, el_delete_conversation, el_get_conversation_audio, el_get_signed_url, el_send_conversation_feedback |
| Knowledge base | el_list_kb_documents, el_get_kb_document, el_create_kb_document (url/text/file), el_delete_kb_document, el_get_kb_document_content, el_get_kb_dependent_agents, el_rag_index |
| Agent tools | el_list_tools, el_get_tool, el_create_tool, el_update_tool, el_delete_tool, el_get_tool_dependent_agents |
| Tests | el_list_tests, el_get_test, el_create_test, el_run_tests_on_agent, el_get_test_invocation |
| Telephony | el_list_phone_numbers, el_get_phone_number, el_import_phone_number, el_update_phone_number, el_outbound_call, el_submit_batch_call, el_list_batch_calls, el_get_batch_call, el_batch_call_action |
| Workspace | el_get_workspace_settings, el_update_workspace_settings, el_list_secrets, el_create_secret, el_delete_secret, el_list_llms, el_get_widget_config, el_search_voices |
| Escape hatch | el_api_request — any other /v1/convai/* endpoint (branches, versions, analytics, WhatsApp, MCP integrations, …) |
Design notes:
- Safety: every destructive tool (
delete_*, outbound/batch calls, workspace settings) requiresconfirm=true.DELETEis blocked on the raw escape hatch. - Tool annotations: every tool ships MCP
ToolAnnotations(readOnlyHint,destructiveHint,idempotentHint,openWorldHint) so clients can flag safe vs. side-effecting tools. Read-only = GET-only tools (26 of 50); the destructive ones line up with theconfirm=truegates. - Context-friendly: responses truncate at 50k chars;
el_get_conversationsupportstranscript_only/include_transcript=false; voice search returns slim results. - Data residency: point
ELEVENLABS_API_BASEat your regional endpoint (EU:https://api.eu.residency.elevenlabs.io).
Setup
cd elevenlabs-agents-mcp
python3 -m venv .venv && .venv/bin/pip install -r requirements.txt
Claude Desktop / Cowork
Add to claude_desktop_config.json (Settings → Developer → Edit Config):
{
"mcpServers": {
"elevenlabs-agents": {
"command": "/ABSOLUTE/PATH/elevenlabs-agents-mcp/.venv/bin/python",
"args": ["/ABSOLUTE/PATH/elevenlabs-agents-mcp/server.py"],
"env": { "ELEVENLABS_API_KEY": "sk_..." }
}
}
}
Claude Code
claude mcp add elevenlabs-agents \
-e ELEVENLABS_API_KEY=sk_... \
-- /ABSOLUTE/PATH/elevenlabs-agents-mcp/.venv/bin/python /ABSOLUTE/PATH/elevenlabs-agents-mcp/server.py
As part of a Cowork/Claude Code plugin
Reference it in the plugin's .mcp.json:
{
"mcpServers": {
"elevenlabs-agents": {
"command": "python3",
"args": ["${CLAUDE_PLUGIN_ROOT}/mcp/server.py"],
"env": { "ELEVENLABS_API_KEY": "${ELEVENLABS_API_KEY}" }
}
}
}
Cloud Run deployment (production)
The repo ships production-ready: http_server.py (streamable HTTP transport, stateless JSON), Dockerfile, deploy.sh.
gcloud auth login && gcloud config set project YOUR_PROJECT_ID
ELEVENLABS_API_KEY=sk_... ./deploy.sh
The script enables APIs, stores the API key and a generated 64-char bearer token in Secret Manager, deploys from source to Cloud Run (Frankfurt europe-west3, 512Mi, scale-to-zero, max 3 instances), smoke-tests /healthz + auth, and prints the connect command:
claude mcp add --transport http elevenlabs-agents https://SERVICE_URL/mcp \
--header "Authorization: Bearer TOKEN"
Production properties:
- Auth: every
/mcprequest needs the bearer token (constant-time compare); server refuses to boot without a ≥32-char token. Alternative IAM-only mode:MCP_ALLOW_UNAUTHENTICATED=true+--no-allow-unauthenticated. - Stateless JSON transport: no sessions/SSE — safe for horizontal scaling and scale-to-zero.
- Secrets: only in Secret Manager, injected as env; never in image, logs, or responses.
- Logging: structured JSON per request (method/path/status/latency) → Cloud Logging. Bodies and transcripts are never logged (PII).
- Resilience: retry with exponential backoff +
Retry-Afteron 429/502/503/504; pooled connections; 90s upstream timeout, 300s request timeout for long simulations. - Read-only mode: deploy with
READ_ONLY=true ./deploy.shto hard-block all non-GET operations server-side (good for analytics-only access). - Cost/blast-radius caps:
min-instances=0(≈€0 idle),max-instances=3. - Token rotation:
ROTATE_TOKEN=1 ./deploy.sh. - Non-root container, slim base image, layer-cached deps.
Environment variables
| Variable | Required | Default | Purpose |
|---|---|---|---|
ELEVENLABS_API_KEY |
yes | — | API key (Profile → API keys) |
MCP_AUTH_TOKEN |
HTTP mode | — | Bearer token protecting /mcp |
MCP_ALLOW_UNAUTHENTICATED |
no | false |
Skip bearer auth (only behind IAM) |
ELEVENLABS_MCP_READ_ONLY |
no | false |
Block all non-GET API calls |
ELEVENLABS_API_BASE |
no | https://api.elevenlabs.io |
Data-residency region |
ELEVENLABS_MCP_MAX_CHARS |
no | 50000 |
Response truncation limit |
PORT |
no | 8080 |
HTTP port (Cloud Run sets this) |
Quick test
ELEVENLABS_API_KEY=sk_... npx @modelcontextprotocol/inspector .venv/bin/python server.py
Example prompts once connected
- "List my ElevenLabs agents and show the config of the Projektinterview agent."
- "Duplicate agent X, change the system prompt to …, then simulate a conversation with a skeptical consultant persona."
- "Pull yesterday's conversations for agent X and summarize failure reasons."
- "Add https://example.com/faq to the knowledge base and enable RAG on it."
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。