Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
作者による説明(英語の原文)
ElevenLabs Conversational AI: agents, calls, conversations, and knowledge base for MCP hosts
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
ELEVENLABS_API_KEY, MCP_WORKSPACE_PATH「秘密」と表示された値は、あなたのアカウントの鍵です。絶対に人に教えたり、チャットに貼り付けたりしないでください。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"mcpServers": {
"elevenlabs-agents": {
"command": "npx",
"args": [
"-y",
"@mindstone/mcp-server-elevenlabs-agents"
],
"env": {
"ELEVENLABS_API_KEY": "your-value",
"MCP_WORKSPACE_PATH": "your-value"
}
}
}
}ターミナルでこれを実行します
claude mcp add elevenlabs-agents --env ELEVENLABS_API_KEY=your-value --env MCP_WORKSPACE_PATH=your-value -- npx -y @mindstone/mcp-server-elevenlabs-agents動かす前に、空欄の値を入力してください。
プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"elevenlabs-agents": {
"command": "npx",
"args": [
"-y",
"@mindstone/mcp-server-elevenlabs-agents"
],
"env": {
"ELEVENLABS_API_KEY": "your-value",
"MCP_WORKSPACE_PATH": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"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"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
MCP_WORKSPACE_PATH envこの設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月7日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント mindstone で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
入力が必要なもの:ELEVENLABS_API_KEY
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は–、最新バージョン(0.2.1)がレジストリに届いたのは3 か月前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにNode.jsも必要です。
同じカテゴリには:Figma Context MCP, Claude Real Video, Figma MCP Server
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
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.
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
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
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