Edge Text-to-Speech
Edge TTS MCP Server provides a bridge to Microsoft's Edge Text-to-Speech service, enabling AI assistants to convert text into natural-sounding speech. Built with FastAPI and the edge-tts Python library, this implementation supports various voices across multiple languages and allows customization of speech parameters. The server exposes a simple API endpoint that returns audio data in MP3 format, making it particularly valuable for applications requiring high-quality voice synthesis, such as content creation, accessibility tools, or 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 2026-09-01.
Scan details: Circle-IR · 2026-09-01 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- media
- Source
- PulseMCP
- Repository
- github.com/yuiseki/edge_tts_mcp_server
- Author type
- human
- Last scanned
- 2026-09-01
- Updated
- 2026-09-01
Use via MCP
Resolve Edge Text-to-Speech 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.