MCP Bridge FAQs

Question 1

What is MCP Bridge and how does it help AI agents?

Accepted Answer

MCP Bridge consolidates multiple Model Context Protocol (MCP) servers behind a single, intelligent interface. It drastically reduces an AI agent's context window usage by replacing hundreds of tool schemas with a few meta-tools, enabling more efficient and capable LLM interactions.

Question 2

How much context window usage can MCP Bridge save?

Accepted Answer

MCP Bridge can reduce context window usage by over 99%. Instead of loading 120KB+ for hundreds of tool schemas, it uses approximately 2KB of base context with lazy loading, only fetching detailed schemas when needed.

Question 3

What are the core features of MCP Bridge?

Accepted Answer

Key features include Result Compaction (storing large results externally), Lazy Schema Loading (fetching schemas on demand), Retry Logic for reliability, Tool Caching, Health Checks for connected servers, and Bridge Stats for monitoring.

Question 4

Which AI clients or LLMs are compatible with MCP Bridge?

Accepted Answer

MCP Bridge is designed for any AI client utilizing the Model Context Protocol (MCP). This includes Anthropic's Claude (CLI and Desktop versions), Cursor, and other compatible LLM environments.

Question 5

How does MCP Bridge manage large tool results?

Accepted Answer

It employs Result Compaction, automatically storing large results (>2KB or arrays >20 items) externally. The AI agent receives a compact preview and a reference ID, which it can use with the `get_result` meta-tool to retrieve the full data when necessary.

MCP Bridge

MCP Bridge

概要

主な機能

ユースケース

概要

主な機能

ユースケース