Phyllon
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@PhyllonI'm stuck on solving quadratic equations — give me a hint"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Phyllon keeps a library of learning tasks with their answers, hints, solution methods and connections, and serves it to any MCP client. It decides in code everything that can be decided in code, and leaves the model only what needs language: understanding a wish, explaining, encouraging.
Status
A skeleton, nothing to use yet. Phase 1 builds the repository, the gate and the way to run it. Learning tasks come in later phases; the roadmap lists them.
Related MCP server: MCP Servers in Python
The principle
Decide in code, phrase in the model. A checker, a filter or a scheduler gives the same answer every time, so Phyllon uses one wherever it can. The model phrases checked building blocks, such as a verified hint or a stored method, and does not invent them.
Quickstart
See docs/install.md.
Read on
Design: the vision and the high-level design.
Roadmap: seven phases from an empty repository to 1.0.
Contributing: the sign-off, pull requests and the gate.
Security: how to report a vulnerability.
License
This server cannot be deployed
Maintenance
Related MCP Connectors
Read-only MCP server over 50 book-based agent skills: routes a task to the right framework.
Remote MCP server for deterministic educational practice-assessment score conversions.
Read-only MCP server exposing a user ORANO library to their own AI agent.
Read-only MCP server for ClassQuill, a tutoring-business-management platform.
Related MCP Servers
- FlicenseNot gradedqualityDmaintenanceMCP server that exposes a read-only knowledge base of verified math lecture material, enabling AI agents to quiz students using active recall via list_topics and query_annuma tools.1-
- FlicenseNot gradedqualityCmaintenanceExposes a small catalog of programming study topics through the Model Context Protocol (MCP) for local learning.-
- FlicenseNot gradedqualityDmaintenanceThis MCP server exposes programming topic data and tools (search, practice suggestions) to help AI agents answer study questions, like 'How to study Python decorators?'.-
- AlicenseNot gradedqualityCmaintenanceEnables MCP-compatible AI clients to tutor students through a full learning workflow, including knowledge retrieval, assessments, mastery tracking, and personalized next-action recommendations.MIT