Mirror
Give your agent an evidence-based self-model of its behavioral tendencies instead of relying on fragile session memory.
Overview
io.github.mctx-ai/mirror is an MCP server for the Build phase that supplies an evidence-based behavioral self-model for your AI agent via mirror.mctx.ai.
What is this MCP server?
- Builds an honest self-model from behavioral evidence rather than ad hoc session recall
- Remote MCP via streamable-http at https://mirror.mctx.ai/v0.4.0
- Targets Claude-style agents that need durable tendency tracking across long projects
- Published under mctx-ai with website https://mirror.mctx.ai
- Version 0.4.0 in server schema—streamable-http transport (not SSE)
- Server version 0.4.0
- 1 remote endpoint (streamable-http): https://mirror.mctx.ai/v0.4.0
- Website: https://mirror.mctx.ai
What problem does it solve?
Long-running agent projects drift because the model has no durable, honest record of its recurring habits and blind spots beyond the current chat.
Who is it for?
Solo builders running Claude Code or Cursor daily who want lightweight behavioral reflection tooling wired into MCP.
Skip if: Teams that need formal observability, PII-safe audit logs, or compliance-grade agent monitoring out of the box.
What do I get? / Deliverables
Mirror exposes tendency insights through MCP so you can tune prompts, workflows, and review habits around observable behavior instead of guesswork.
- MCP-backed behavioral tendency summaries for your agent sessions
- Configured mirror.mctx.ai remote in your agent toolchain
- Inputs for prompt and workflow adjustments based on observed patterns
Recommended MCP Servers
Journey fit
Agent-tooling in Build is where you wire meta-capabilities into the stack; Mirror also pays off during Ship review when you want consistent behavior checks. Mirror fits agent-tooling because it extends what the model can know about its own patterns across sessions via MCP.
How it compares
Behavioral self-model MCP server, not platform documentation search or cross-client notes storage.
Common Questions / FAQ
Who is io.github.mctx-ai/mirror for?
It is for developers who depend on coding agents and want MCP-accessible insight into how those agents tend to behave across work sessions.
When should I use io.github.mctx-ai/mirror?
Use it while building agent workflows, before major refactors, or when reviewing whether your agent’s habits (verbosity, verification gaps) keep repeating.
How do I add io.github.mctx-ai/mirror to my agent?
Add the streamable-http remote https://mirror.mctx.ai/v0.4.0 in your MCP client configuration per mirror.mctx.ai docs, then call the server tools your client lists after connection.