About Cochl MCP Server
Cochl MCP Server connects Cochl Sense audio analysis to MCP for users who want to process its results with an LLM. The README describes audio-file analysis and supported formats.
Key features
- 01Analyze audio files with Cochl Sense
- 02Support MP3, OGG, and WAV
Use cases
- 01Pass audio analysis results to an LLM
- 02Process MP3, OGG, or WAV files
MCP support
Exposes a Cochl Sense audio-analysis tool to MCP clients, accepting an absolute path to an audio file.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMECochl MCP Server
A Model Context Protocol(MCP) Server for Cochl
Use cases
- For easy analysis by integrating Cochl Sense results with an LLM.
Installation
Option1: Build from source
git clone https://github.com/cochlearai/cochl-mcp-server.git
go build -o cochl-mcp-server cmd/cochl-mcp-server/main.go
# OR
go install github.com/cochlearai/cochl-mcp-server/cmd/cochl-mcp-server@latest
- Place the executable file in your system's
$PATH
Option2: Download pre-built binary
- Visit Releases page
- Download the appropriate version for your operating system and architecture
- Place the executable file in your system's
$PATH
Configuration
Claude Desktop / Cursor IDE
{
"mcpServers": {
"cochl": {
"command": "cochl-mcp-server",
"args": [],
"env": {
"COCHL_SENSE_BASE_URL": "https://api.cochl.ai",
"COCHL_SENSE_PROJECT_KEY": "<your project key>"
}
}
}
}
Tools
Cochl Sense
- analyze_audio
- file_absolute_path: absolute path of the audio file (string, required)
- supported audio type (mp3, ogg, wav)
- file_absolute_path: absolute path of the audio file (string, required)
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.