"A server for orchestrating intelligent agents to solve spatial reasoning tasks in 3D environments" matching MCP servers:

MCP server that parses source code into a graph of symbols and relationships, enabling code structure visualization and blast radius analysis via interactive 3D force-graph.

A Model Context Protocol server that enhances Claude in Cursor AI with advanced reasoning capabilities including Monte Carlo Tree Search, Beam Search, R1 Transformer, and Hybrid Reasoning methods.

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.

Call OpenAI Codex from Claude Code for independent second opinions, structured code review, and delegated coding tasks through a FastMCP plugin that drives the codex CLI safely.

Enables orchestrating multiple AI CLI agents (Claude Code, Codex, Gemini CLI, Copilot CLI) through a unified MCP interface for task delegation, cross-agent comparison, and specialized tools like code review and debugging.

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

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

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 Claude Code to escalate complex analysis to Gemini for multi-model reasoning over large codebases, logs, and traces, with capabilities for execution-flow tracing, cross-system impact analysis, performance bottleneck detection, hypothesis testing, and iterative AI-to-AI dialogue.

Enables a multi-model workflow where Claude Code escalates complex code-analysis tasks to Gemini for large-context tracing, cross-system impact analysis, performance bottleneck detection, and hypothesis testing.

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

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

Enables Claude Code to route complex software analysis tasks to Gemini for long-context execution tracing, cross-system impact analysis, performance bottleneck detection, and hypothesis testing, including multi-turn AI-to-AI conversations.

Enables Claude Code to escalate complex analysis tasks to Google's Gemini AI, which handles large-context reasoning, execution flow tracing, cross-system impact analysis, performance bottleneck detection, and hypothesis testing. It also supports multi-turn AI-to-AI conversational sessions for iterative debugging of distributed systems and long trace logs.

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 hand off complex code-analysis and debugging tasks to Google's Gemini AI for large-context execution tracing, cross-system impact analysis, performance bottleneck detection, hypothesis testing, and AI-to-AI conversational analysis.

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

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.

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

MCP server that analyzes codebases with tree-sitter and generates AGENTS.md files for AI agents.

Enables Claude to use Google Gemini as a secondary AI through MCP for large-scale codebase analysis and complex reasoning tasks. Supports both Gemini Flash and Pro models with specialized functions for general queries and comprehensive code analysis.

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

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 MCP clients to perform step-level process reward evaluation, MCTS-guided reasoning search, hallucination branch pruning, and formal verification for complex math, code, and logic problems.

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.