📚 MCP & AI Tooling — Orientation and Reference Materials (WIP)
This article collects preliminary reading materials and reference links used to orient ongoing exploration. It intentionally avoids deep analysis or design conclusions and serves as a shared starting point.
Summary: A curated set of resources related to the Model Context Protocol (MCP), tool-augmented language models, safety boundaries, and schema-first design. These materials inform future exploratory notes.
📖 Purpose of This Collection
Before engaging in architectural analysis or prototyping, it is important to understand the existing ideas, reference implementations, and research that shape MCP-style systems.
This page gathers orientation-level resources that provide background context for MCP, AI tool use, and system safety. Inclusion here does not imply endorsement or final design decisions.
🧩 Model Context Protocol (MCP)
Resources introducing MCP as a protocol for exposing structured project context to AI systems.
- HoloViz MCP — Reference implementation of an MCP server (documentation and source hosted on GitHub; access may vary).
🛠 Tool-Augmented Language Models
Background material on language models that interact with tools, APIs, or external systems.
Beyond protocol design and language model capabilities, it is also useful to consider how MCP servers are consumed by real AI assistants in practice.
🤖 AI Assistants and MCP Consumers
In addition to protocol design and server-side considerations, it is useful to understand how existing AI assistants consume structured context and tool interfaces.
Claude is a notable example, as it supports MCP-based integrations and has been referenced as a potential client for MCP servers in real-world workflows.
These resources are included to understand how MCP-style servers may be consumed by AI assistants in practice, rather than to imply a dependency on a specific model or vendor.
🔐 Prompt Injection & Tool Boundary Safety
Reading related to prompt injection, tool misuse, and the importance of enforcing system-level safety boundaries.
📐 Schema-First & Validation-Oriented Design
Resources relevant to schema-driven interfaces, validation, and typed boundaries, especially in configuration-heavy or scientific software.
🔬 Scientific & Research Software Context
Materials related to reproducibility, auditability, and robustness in scientific and institutional software projects.
📌 How These Resources Will Be Used
These references provide background context for future exploratory notes on MCP, AI-assisted tooling, safety boundaries, and schema-driven interfaces. They are intended to support careful design thinking rather than immediate implementation.
✍️ Authored by: Doby Baxter
🧠 Category: AI & MCP Exploration Notes (WIP)