Speak AI
@speakai
Official MCP server for Speak AI, transcribe meetings, analyze media, extract insights, and search across your entire audio/video library. 81 tools, 5 resources, 3 prompts. Upload recordings, get AI-powered transcripts and summaries, ask questions across files, create clips, sche
概要
What is Speak AI?
Speak AI is an MCP (Model Context Protocol) server and CLI that connects AI assistants like Claude, Cursor, and Windsurf to a Speak AI workspace. It provides 83 tools, 5 resources, and 3 prompts for transcribing, analyzing, searching, and managing media at scale.
How to use Speak AI?
Install globally via npm install -g @speakai/mcp-server, then run speakai-mcp init for auto-setup that detects and configures supported MCP clients. Alternatively, manually add the server configuration to each client using your Speak AI API key, set via the SPEAK_API_KEY environment variable.
Key features of Speak AI
- 83 MCP tools for media, AI chat, folders, and automations
- 5 resources for direct data access without tool calls
- 3 pre-built workflow prompts for multi-step tasks
- 28 CLI commands for scripting and automation
- Transcribe, analyze, search, and manage media at scale
Use cases of Speak AI
- Automate meeting transcription and AI analysis from uploaded recordings
- Search across transcripts, insights, and metadata for themes or patterns
- Create highlight clips from time ranges across media files
- Schedule an AI assistant to join and transcribe live meetings
- Manage media folders, exports, custom fields, and webhooks programmatically
FAQ from Speak AI
What API key is needed?
You need a Speak AI API key, obtainable from the Speak AI app at https://app.speakai.co/developers/apikeys.
How do I install the Speak AI MCP server?
Install globally with npm install -g @speakai/mcp-server, then run speakai-mcp init for auto-configuration. You can also run it on the fly with npx @speakai/mcp-server.
Which MCP clients are supported?
Claude Desktop, Claude Code, Cursor, Windsurf, VS Code, and any MCP client that supports STDIO transport. Each has specific configuration instructions in the README.
What environment variables are required?
SPEAK_API_KEY is required. Optionally, SPEAK_ACCESS_TOKEN (auto-managed) and SPEAK_BASE_URL (default https://api.speakai.co) can be set.
How many tools, resources, and prompts does it offer?
The server provides 83 MCP tools, 5 MCP resources, 3 MCP prompts, and 28 CLI commands.
