fasuizu-br/brainiall-mcp-server
by Various
MCP Server for Brainiall Speech AI - pronunciation assessment, speech-to-text, and text-to-speech
MCP
fasuizu-br/brainiall-mcp-server
Added 1 June 2026
Overview
An MCP server that wraps Brainiall Speech AI to provide pronunciation assessment, speech-to-text, and text-to-speech capabilities. It exposes these speech functions through the Model Context Protocol for integration with compatible clients.
Best for
Best for
Developers who need to add Brainiall speech features to MCP-compatible applications
Use cases
- Add pronunciation scoring to language learning apps
- Enable speech-to-text transcription in MCP-based tools
- Generate spoken audio from text via text-to-speech
Notes
An MCP server that wraps Brainiall Speech AI to provide pronunciation assessment, speech-to-text, and text-to-speech capabilities. It exposes these speech functions through the Model Context Protocol for integration with compatible clients.
0 stars on GitHub. Last updated 2026-03-11. Licensed MIT.
Use cases
- Add pronunciation scoring to language learning apps
- Enable speech-to-text transcription in MCP-based tools
- Generate spoken audio from text via text-to-speech
Pros
- Leverages the MCP protocol for standardized integration
- Written in Python, easy to extend or modify
- Open source with no licensing restrictions
Cons
- Zero stars and no community adoption indicates limited testing
- Requires a Brainiall API key and internet access
- No documentation or usage examples provided in the repository
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Leverages the MCP protocol for standardized integration
- Written in Python, easy to extend or modify
- Open source with no licensing restrictions
Cons
- Zero stars and no community adoption indicates limited testing
- Requires a Brainiall API key and internet access
- No documentation or usage examples provided in the repository