Reflection Bank MCP Server

Example Use Cases

• 1

  Retrieve and reuse successful reasoning patterns to improve token efficiency and consistency.

• 2

  Semantically search and inject relevant behaviors into prompts during reasoning.

• 3

  Record feedback on behavior usage to refine future suggestions.

Description

Reflection Bank MCP server integrates with Claude Code and other MCP-compatible clients to enable semantic caching of successful reasoning patterns from LLM sessions. It supports pattern suggestion, usage recording, behavior addition, and semantic search, improving token efficiency and reasoning consistency. The server facilitates fast, thread-safe retrieval and injection of relevant behaviors into prompts, creating a feedback loop for continuous learning and reuse.