About EnreachVoice API MCP Server
EnreachVoice API MCP Server is a prototype for connecting the EnreachVoice API to AI applications. It uses API credentials supplied through environment variables.
Key features
- 01Connects EnreachVoice API to AI
- 02Credentials configured through environment variables
- 03Claude Desktop configuration example
Use cases
- 01Connecting an AI application to EnreachVoice API
- 02Configuring EnreachVoice credentials for Claude Desktop
MCP support
It is an MCP server prototype intended to connect the EnreachVoice API to AI. The README does not specify which tools or resources it exposes.
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 READMEEnreachVoice API MCP Server
MCP Server proto to connect EnreachVoice API to AI.
Configuraition
EnereachVoice API credentials are provided as env-variables:
ENREACHVOICE_APIUSER=username
ENREACHVOICE_APISECRET=secretkey
Adding to Claude desktop
Add following to claude_desktop_config.json
{
"mcpServers": {
"EnreachVoice": {
"command": "uv",
"args": [
"run",
"--with",
"mcp[cli]",
"--env-file",
"D:\\path\\to\\enreachvoice_mcp\\.env",
"D:\\path\\to\\enreachvoice_mcp\\main.py"
]
}
}
}
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.