Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Descripción del creador (original en inglés)
ElevenLabs Conversational AI: agents, calls, conversations, and knowledge base for MCP hosts
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
ELEVENLABS_API_KEY, MCP_WORKSPACE_PATHLos valores marcados como secretos son llaves de tu cuenta. Nunca los compartas ni los pegues en un chat.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"elevenlabs-agents": {
"command": "npx",
"args": [
"-y",
"@mindstone/mcp-server-elevenlabs-agents"
],
"env": {
"ELEVENLABS_API_KEY": "your-value",
"MCP_WORKSPACE_PATH": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add elevenlabs-agents --env ELEVENLABS_API_KEY=your-value --env MCP_WORKSPACE_PATH=your-value -- npx -y @mindstone/mcp-server-elevenlabs-agentsCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"elevenlabs-agents": {
"command": "npx",
"args": [
"-y",
"@mindstone/mcp-server-elevenlabs-agents"
],
"env": {
"ELEVENLABS_API_KEY": "your-value",
"MCP_WORKSPACE_PATH": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"elevenlabs-agents": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@mindstone/mcp-server-elevenlabs-agents"
],
"env": {
"ELEVENLABS_API_KEY": "your-value",
"MCP_WORKSPACE_PATH": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
MCP_WORKSPACE_PATH envEsta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub mindstone, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
Debes completar: ELEVENLABS_API_KEY
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (0.2.1) llegó al registro hace 3 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.
En la misma categoría: Figma Context MCP, Claude Real Video, Figma MCP Server
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Let any LLM watch a video locally — and search everything it has ever watched.
The Figma MCP server brings Figma design context directly into your AI workflow.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
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.
ELEVENLABS_API_KEY)STATUS.jsonAfter 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": "" } } } }
cd <path-to-repo>/connectors/elevenlabs-agents
npm install npm run build
node dist/index.js
ELEVENLABS_API_KEY — ElevenLabs API key (starts with sk_)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 for MCP_HOST_BRIDGE_STATE{
"mcpServers": { "ElevenLabs Agents": { "command": "node", "args": [" /connectors/elevenlabs-agents/dist/index.js"], "env": { "ELEVENLABS_API_KEY": "your-api-key" } } } }
configure_elevenlabs_agents_api_key — Save your ElevenLabs API keylist_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 worklist_agent_tools — List webhook/client/system tools available to agentsadd_agent_tool — Add a webhook or client tool to the workspacelist_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 conversationlist_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 numbermake_outbound_call — Place one outbound call after resolving the phone-number provider automaticallysubmit_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 joblist_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 documentAll external text returned by the ElevenLabs API is wrapped in 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.
FSL-1.1-MIT — Functional Source License, Version 1.1, with MIT future licence. The software converts to MIT licence on 2030-04-08.
files/readModes version 1 is an experimental extension used by these connectors, not part of the MCP standard. A compatible host (the app running the connector) decides which input files a tool call may read. The connector opens only the host-approved physical path, after resolving symlinks. The host supplies this permission information with each call; it is not a tool argument you need to set. Missing or invalid permission information, or a file absent from the approved list, stops the read.
Clients that do not negotiate this extension keep the connector's existing standalone file restrictions. This extension changes input-read permis
Solo se muestra el principio; lee el resto en el repo