%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
Enreachvoice MCP
An implementation of the MCP server for the EnreachVoice API, used to connect the EnreachVoice API with AI systems
rating : 2 points
downloads : 7.0K
What is the EnreachVoice MCP Server?
The EnreachVoice MCP Server is a middleware service that allows AI systems to interact with the EnreachVoice voice API through standard protocols. It simplifies the voice function integration process, enabling developers to focus on AI application development without delving into the details of the underlying API.How to use the EnreachVoice MCP Server?
The service can be integrated into the Claude desktop environment by simply adding a configuration file. The system will automatically handle authentication and communication with the EnreachVoice API.Applicable scenarios
Suitable for AI application development that requires the integration of voice communication functions, such as intelligent customer service, voice assistants, and automatic call systems.Main features
API authentication automation
Automatically handle the authentication process of the EnreachVoice API, eliminating the need for developers to manually manage credentials
Protocol conversion
Convert the MCP protocol into EnreachVoice API calls, providing a standardized interface
Simplified environment configuration
Centrally manage API credentials through environment variables for easy deployment and maintenance
Advantages
Simplify the EnreachVoice API integration process
Provide a standardized MCP interface for easy invocation by AI systems
Automatically handle API authentication and communication details
Simple configuration and easy deployment
Limitations
Only support specific functions of the EnreachVoice API
Require the support of the Claude desktop environment
Depend on the availability of external API services
How to use
Prepare environment variables
Create a.env file containing the authentication information of the EnreachVoice API
%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%230080ff;%20}%20%3c/style%3e%3c/defs%3e%3cpath%20class='st0'%20d='M16.2,11.1c.4.5.4,1.2,0,1.8l-4.7,7.1h-3.8l5.3-8L7.6,4h3.8l4.7,7.1Z'/%3e%3c/svg%3e)
Configure the Claude desktop
Modify the claude_desktop_config.json file and add the MCP server configuration
Start the service
Restart the Claude desktop application, and the service will automatically start and establish a connection
Usage examples
Intelligent voice customer service
Connect to the EnreachVoice API through the MCP server to implement an AI-driven voice customer service system
Voice notification system
Use the API to send voice notifications and process user responses through AI
Frequently Asked Questions
How to obtain EnreachVoice API credentials?
What should I do if the service fails to start?
Which EnreachVoice API functions are supported?
Related resources
EnreachVoice API official documentation
Complete API reference documentation
MCP protocol specification
Technical specification of the Model Context Protocol
Example code repository
Contains configuration examples and demonstration code
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
16.2K
4.5 points
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
17.4K
4.3 points
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
25.6K
5 points
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
46.5K
4.3 points
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
47.3K
4.5 points
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
21.1K
5 points
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
16.5K
4.5 points
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
65.8K
4.7 points