Team Context FAQs

Question 1

Is Team Context compatible with any LLM, and how does it handle API keys?

Accepted Answer

Yes, Team Context is LLM-agnostic. It maintains a local knowledge base and serves context via the standard MCP protocol, making it compatible with any client supporting MCP (e.g., Claude, GitHub Copilot, local Ollama models). Crucially, it doesn't call any LLM APIs or require your API keys; it only prepares context for *your* chosen LLM.

Question 2

What types of information can Team Context index and make available to LLMs?

Accepted Answer

Team Context indexes a wide array of team knowledge, including markdown files for team skills, architectural decisions, documentation, and even Git commit history (messages and modified files). It also allows teams to add 'session memories' to capture important decisions made during LLM interactions, ensuring continuity across sessions.

Question 3

What is Team Context and how does it help development teams?

Accepted Answer

Team Context is a tool designed to provide shared, persistent knowledge for development teams working with Large Language Models. It solves the problem of fragmented context, ensuring LLMs receive relevant project-specific information like skills, architectural decisions, and commit history, leading to more accurate and efficient responses.

Question 4

How does Team Context improve LLM performance and reduce token waste?

Accepted Answer

Instead of starting from scratch, Team Context silently injects relevant project context into your LLM prompts. By providing crucial information like team skills and past decisions, it enables the LLM to generate more targeted answers, reducing wasted tokens and the need for repetitive explanations.

Question 5

How does Team Context ensure data privacy and security for sensitive information?

Accepted Answer

Team Context prioritizes privacy by operating with a local, LLM-agnostic knowledge base (SQLite + embeddings) and never sending data to the cloud. It features `.mcpignore` rules to exclude sensitive files and automatically redacts common sensitive data patterns (e.g., API keys, private keys, database URLs) before indexing.

Team Context

Team Context

주요 기능

사용 사례

주요 기능

사용 사례