"Medium" matching MCP servers:

Classifies development task complexity (LIGHT/MEDIUM/HEAVY) and recommends the most cost-efficient AI model per provider, enabling optimized model selection for coding tasks.

Enables users to select thinking depth (easy, medium, more, max) for AI responses through natural language, with iterative agent passes for improved quality.

MCP server that provides 8 tools for Java memory leak investigation: \- Class histograms, GC pressure snapshots, JFR recordings, heap dumps, MAT leak suspects analysis, async-profiler allocation profiles \- Structured confidence-based verdicts (none/low/medium/high) requiring independent signal corroboration \- Designed for use inside Claude Code with two slash commands

Enables agents to invoke declared API capabilities through a governed MCP surface where each call is risk-tiered — low-risk calls execute immediately, medium-risk writes queue for human approval, and high-risk actions are withheld from the tool list entirely. Every call, decision and denial is recorded in an audit trail, and responses carrying third-party text are scanned for prompt-injection signals before an agent can read them.

Enables OpenCode to route simple, medium, and complex requests through planner-critic-solver logic, with local token-saving cache and compression, and optional delegation of heavy math or science tasks to a GPU-backed service.