"Poly" matching MCP servers:

Unified MCP server for Git forge management across GitHub, GitLab, Gitea, and Bitbucket, enabling repository, issue, PR, and CI/CD operations via CLI tools and APIs.

Connects Blender to Claude AI through the Model Context Protocol, enabling AI-assisted 3D modeling, scene creation, object manipulation, and material control. Supports downloading assets from Poly Haven and generating 3D models through Hyper3D Rodin.

Connects Claude AI to Blender through the Model Context Protocol, enabling AI-assisted 3D modeling, scene creation, material control, and direct Python code execution in Blender. Includes integration with Poly Haven assets and Hyper3D model generation.

Connects Blender to Claude AI through the Model Context Protocol, enabling AI-assisted 3D modeling, scene creation, object manipulation, and material control. Supports asset integration from Poly Haven and AI-generated 3D models through Hyper3D Rodin.

Enables Claude AI to directly control Blender for automated 3D modeling, scene creation, and object manipulation. It provides tools for material management, scene inspection, and integration with third-party asset libraries like Poly Haven and Sketchfab.

Enables AI agents to perform accurate local computations including arbitrary-precision math, date handling, unit conversion, subnet calculations, encoding, hashing, and text analysis, all without network calls or API keys.

Queries multiple AI models simultaneously (GPT 5.2, Claude Opus 4.5, Gemini 3, Grok 4.1) via a single API call to provide diverse expert perspectives and consensus recommendations.

Enables browsers to act as MCP servers by relaying tools, resources, and prompts to AI agents via a WebSocket-to-stdio bridge.

Connects Claude AI to Blender through the Model Context Protocol, enabling AI-assisted 3D modeling, scene creation, object manipulation, and material control. Supports downloading assets from Poly Haven and generating 3D models through Hyper3D Rodin.

Enables any MCP-compatible client to use existing Claude Code agents from .claude/agents/ directories. Spawns agents in separate CLI sessions for better context optimization and performance across Codex, Gemini CLI, and other AI coding assistants.

Multi-language MCP debugger for AI agents that supports Python, JavaScript/TypeScript, Go, Rust, and C/C++ with features like container debugging, session recovery, and watch expressions.

Multi-language code-graph MCP server with 18 tools for structural code queries — find_symbol, callers, callees, blast_radius, dead_code, and cross-stack dataflow_trace from HTTP request through service layers to SQL. Tree-sitter parsing for Python, TypeScript, JavaScript, and Go; local-first, no API key required.

Enables LLMs to connect to n8n workflows, Blender 3D, Notion, and filesystem tools through a single MCP hub with hot-pluggable bridges. Features a pedagogical transparency layer for educational purposes and supports multiple LLM providers including Claude, OpenAI, Gemini, and Ollama.

Query multiple AI models (GPT-4, Claude, Gemini, Grok) in parallel for diverse perspectives. Get different expert viewpoints when stuck or need enhanced reasoning.

A universal database adapter that enables read-only queries across PostgreSQL, Supabase, and MongoDB databases via the Model Context Protocol.

Enables access to PolyAI Agent Studio Cursor rules via MCP tools for listing, retrieving, and searching rules, making them usable by any MCP-compatible client.

Enables AI agents to connect to and chat with multiple LLM models (OpenAI, OpenRouter, custom endpoints) with conversation history management and model switching capabilities.

MCP server providing 13 tools to control opencode, Gemini CLI, and Qwen Code AI coding agents with session continuity and auth checking.

Enables comprehensive control of Blender 3D from Claude Desktop, offering 26 tools for object manipulation, scene management, and material editing. It supports asset integration from platforms like Poly Haven and allows for direct execution of custom Python scripts within the Blender environment.

Enables structured multi-model AI planning sessions across multiple CLI coding tools, orchestrating independent planning, peer review, and final synthesis.