Typecast AI
Typecast API MCP Server provides a bridge to the Typecast AI text-to-speech service, enabling AI assistants to convert text into natural-sounding speech with various voice options and emotional presets. Developed by Neosapience, this Python implementation offers tools for retrieving available voices, generating speech from text with customizable parameters like emotion, volume, and playback speed, and playing the resulting audio files directly. The server supports both stdio and SSE transport methods, making it flexible for different integration scenarios. It's particularly valuable for applications requiring high-quality voice synthesis with emotional expression, such as content creation, accessibility tools, and interactive voice applications.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- media
- Source
- PulseMCP
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Typecast AI from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.