MCP Anthropic Server
by mystique920
An MCP server providing tools to interact with Anthropic's experimental prompt engineering APIs. It offers functionalities for prompt generation, improvement, and templatization.
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What is MCP Anthropic Server?
The MCP Anthropic Server is a tool that allows users to leverage Anthropic's prompt engineering APIs through the Model Context Protocol (MCP). It provides functionalities to generate new prompts, improve existing ones based on feedback, and convert concrete examples into reusable templates.
How to use MCP Anthropic Server?
To use the server, clone the repository, install the dependencies using npm install, configure your Anthropic API key in a .env file, build the TypeScript code with npm run build, and start the server using npm start. The server will then listen for MCP connections and expose its tools.
Key features of MCP Anthropic Server
Generates prompts based on task descriptions.
Improves existing prompts based on feedback.
Converts concrete prompt examples into reusable templates.
Supports integration with LibreChat.
Uses the Model Context Protocol (MCP) for interaction.
Use cases of MCP Anthropic Server
Automated prompt generation for various tasks.
Iterative prompt improvement based on user feedback.
Creation of reusable prompt templates for consistent results.
Integration with AI chatbot platforms like LibreChat.
Experimentation with different prompt engineering techniques.
FAQ from MCP Anthropic Server
What is MCP?
What is MCP?
MCP stands for Model Context Protocol. It's a protocol for interacting with language models.
How do I get an Anthropic API key?
How do I get an Anthropic API key?
You need to sign up for access to Anthropic's APIs and obtain an API key from their platform.
What Anthropic models are supported?
What Anthropic models are supported?
The server supports specifying a target Anthropic model identifier, such as 'claude-3-opus-20240229'.
How do I provide feedback to improve a prompt?
How do I provide feedback to improve a prompt?
The improve_prompt tool accepts a 'feedback' parameter where you can provide specific instructions on how to improve the prompt.
Where can I find more detailed documentation?
Where can I find more detailed documentation?
Refer to the documentation.md file for specific instructions, especially for LibreChat integration.