"A server for finding resources about deep thinking and critical thinking skills" matching MCP servers:

Serves the classHuman skills library over the Model Context Protocol, letting agents list, search, read, and create compliant audit receipts on demand.

A multi-agent system for code rules management using MCP, supporting search, generation, and architectural validation through specialized agents.

Enables Claude Code to escalate complex code analysis to Google's Gemini AI for multi-model reasoning, including execution tracing, cross-system impact analysis, performance bottleneck detection, and hypothesis testing over large codebases and logs.

Multi-language SAST and AI-powered fuzzing MCP server for Claude Code integration, enabling static and dynamic security analysis of code.

Enables Claude Code and other MCP clients to escalate complex code investigations to Google's Gemini AI for large-context trace analysis, cross-service impact assessment, performance bottleneck detection, hypothesis testing, and multi-turn AI-to-AI debugging.

Enables Claude Code to escalate complex code analysis to Gemini for long-context debugging, execution tracing, cross-system impact analysis, performance modeling, and hypothesis testing, including AI-to-AI multi-turn conversations. It supports analyzing large logs, traces, and codebases by leveraging Gemini's 1M-token context window and code execution capabilities.

Enables AI coding agents to enforce architecture standards by checking repositories against overridable rules and adapter results over MCP.

Enables Claude Code to escalate complex code-analysis tasks to Google's Gemini AI, supporting multi-turn conversations, execution-flow tracing, cross-system impact analysis, performance bottleneck detection, and hypothesis testing.

Enables Claude Code to escalate complex analysis tasks to Google's Gemini AI for execution-flow tracing, cross-system impact analysis, performance bottleneck detection, and hypothesis testing. Facilitates AI-to-AI dialogue for iterative debugging across large codebases and logs.

Provides AI coding assistants with access to Google's Android development skills library through an MCP server. Enables developers to discover, search, and apply Android best practices directly within their coding environment without manual copying.

A Model Context Protocol server that helps programmers understand code by providing explanations, tech stack analysis, and best practice suggestions through prompt templates.

A validation layer for AI coding assistants that enforces explicit LLM evaluations on plans, code diffs, and tests to ensure safer and higher-quality code.

Enables Claude Code to delegate complex code analysis to Gemini AI, supporting execution-flow tracing, cross-system impact analysis, performance bottleneck detection, hypothesis testing, and multi-turn conversational debugging.

Enables Claude Code to escalate complex code analysis to Google's Gemini AI for large-context execution tracing, cross-system impact analysis, performance bottleneck detection, and hypothesis testing.

Enables Claude Code to escalate complex code analysis to Gemini for multi-model workflows such as execution tracing, cross-system impact analysis, performance bottleneck detection, hypothesis testing, and AI-to-AI conversational analysis.

Turns a codebase into a persistent knowledge graph so AI coding agents can answer structural questions about functions, call chains, routes, and cross-service links through graph queries instead of reading files one by one.

Enables Claude Code to escalate complex code-analysis tasks to Google Gemini for large-context execution tracing, cross-system impact analysis, performance bottleneck detection, and hypothesis testing.

MCP server exposing a shared pr-review skill with tools to list, get, run, and evaluate skills, enabling AI assistants to perform code review tasks.

It enables Claude Code to route complex code analysis tasks to Google Gemini, supporting execution-flow tracing, cross-system impact analysis, performance bottleneck detection, and hypothesis testing over large codebases and logs.

Enables Claude Code to hand off complex code analysis to Google Gemini, supporting huge-context trace and log correlation, execution-flow tracing, cross-service impact analysis, performance bottleneck detection, and hypothesis-driven debugging through MCP tools.