TNMGTOOLKIT

Field guide / 01

What is MCP?

An AI conversation becomes more useful when it can connect to the context and tools behind the work. The Model Context Protocol provides a common way to make those connections.

A shared interface for connections

MCP is an open standard for connecting AI applications with external systems. An application can use an MCP client to communicate with a server that exposes particular capabilities, such as tools or access to useful data.

This gives a connection a defined structure. It does not mean that every application supports every server, or that connecting a tool automatically gives it permission to do anything.

Protocol overview: Official Model Context Protocol introduction ↗

Three parts to keep in view

YouChoose the workAI applicationUse a connectionTool serverExpose capabilities

The application is where you direct the work. The server defines the capabilities it exposes. The surrounding setup determines which resources those capabilities can reach. Thinking about all three helps you evaluate a connection before relying on it.

An illustrative project workflow

Imagine reviewing a change in a selected software project. A tool connection could provide project search and a diff. A separate build action could produce an artifact, and a verification step could report the checks associated with it.

Each step has a different purpose. Reading a file is different from changing it; showing a previous test result is different from running a fresh test. Useful interfaces make these distinctions visible so you can decide what to do next.

This is an explanation of a possible workflow, not a claim that the full TNMG workflow is released.

Before you connect a tool

  • Know its scope. Understand which projects, files, accounts, or actions the connection can reach.
  • Check compatibility. Look for the actual setup and supported environment for both the application and the server.
  • Separate intention from evidence. A requested action, a finished operation, and a verified result are different states.
  • Keep the controls clear. Know how to review the work, stop an operation, and disconnect a tool when appropriate.

Where TNMG fits

TNMG is developing a local-first MCP service with scoped project workflows, job tracking, and evidence-linked verification as planned capabilities. The initial verification component has recorded passing local tests; the complete service remains in development.

See the current development status