PeakMojo Server
by peakmojo
A Python server implementation designed for integrating with the PeakMojo API. It provides resource and tool-based access to PeakMojo functionality, along with automatic fallback to mock responses during development.
Last updated: N/A
What is PeakMojo Server?
The PeakMojo Server is a Python-based server that provides a way to interact with the PeakMojo API. It offers resource and tool-based access, simplifying the process of integrating PeakMojo functionality into other applications.
How to use PeakMojo Server?
To use the server, first install it using pip (pip install mcp-server-peakmojo). Configure it with your PeakMojo API key and optionally the base URL, either through environment variables or command-line arguments. Then, utilize the available resources and tools for interacting with the PeakMojo API.
Key features of PeakMojo Server
Full integration with PeakMojo API endpoints
Bearer token authentication
Resource and tool-based access to PeakMojo functionality
Automatic fallback to mock responses during development
Use cases of PeakMojo Server
Integrating PeakMojo user data into applications
Managing personas through the PeakMojo API
Automating scenario creation with PeakMojo
Building tools that leverage PeakMojo resources for managing workspaces, jobs, and other entities
FAQ from PeakMojo Server
What happens if the PeakMojo API is unavailable?
What happens if the PeakMojo API is unavailable?
The server automatically falls back to mock responses for each endpoint, allowing development and testing to continue without a live API connection.
How do I configure the server with my API key?
How do I configure the server with my API key?
You can configure the server through environment variables (PEAKMOJO_API_KEY) or command-line arguments (--api-key).
What resources are available through the server?
What resources are available through the server?
The server provides access to resources like Users, Personas, Scenarios, Jobs, Applications, Practices, Skills, and Certificates.
Does the server handle errors?
Does the server handle errors?
Yes, the server implements comprehensive error handling: Invalid API keys are logged, failed API requests fall back to mock responses, HTTP errors are caught and logged, and all errors are returned as JSON responses with appropriate error messages.
Is Docker supported?
Is Docker supported?
Yes, you can either pull docker image from Docker Hub or build it locally. Sample commands on how to run it in Docker is provided in the README