Multi-agent orchestration and LLM provider abstraction via MCP protocol - 72 specialist agents, 22 orchestration patterns
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# Geepers MCP Model Context Protocol (MCP) servers for multi-agent orchestration. Run parallel research agents across academic, news, code, and financial sources, then synthesize findings into PDF, DOCX, or Markdown reports. [](LICENSE) [](https://www.python.org/downloads/) [](https://pypi.org/project/geepers-mcp/) **Author:** Luke Steuber - [dr.eamer.dev](https://dr.eamer.dev) - [@lukesteuber.com](https://bsky.app/profile/lukesteuber.com) > Depends on [geepers-kernel](https://github.com/lukeslp/geepers-kernel) for LLM providers, orchestration, and data clients. --- ## Quick Start ```bash pip install geepers-mcp[all] ``` Add at least one API key to `.env`: ```bash ANTHROPIC_API_KEY=sk-ant-... OPENAI_API_KEY=sk-... XAI_API_KEY=xai-... ``` MCP tools become available in Claude Code right away: ``` Research quantum computing breakthroughs in 2025 using Beltalowda orchestration ``` --- ## How it works Six MCP servers expose 32+ tools. The orchestration layer coordinates them: ``` Claude Code Client | MCP Protocol (stdio) v Geepers MCP Plugin (6 MCP Servers) | | | | v v v v Unified Providers Data Cache Orchestr. Server Fetching Manager | | | | v v v v Utilities Web Search Document Redis Server Server Generator Cache ``` **Beltalowda orchestration flow:** 1. Break a research task into 8 specialized angles 2. Run agents in parallel: arXiv, Semantic Scholar, news, Wikipedia, GitHub, YouTube, financial data, Open Library 3. Mid-level synthesis (Drummer) finds patterns, themes, contradictions 4. Executive synthesis (Camina) produces a summary with key insights 5. Generate PDF, DOCX, and Mark…
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