MCP ServerSTDIOOfficialv2.0.5

Bypawel Tachibot MCP Server

Orchestrate multiple AI models (Perplexity, Grok, OpenAI, Gemini, OpenRouter) with 31 tools and YAML workflows. For developers building multi-model AI agents, research pipelines, and code analysis systems.

io.github.byPawel/tachibot-mcp

Hosted URL

Local install

Transport

STDIO

Auth

3 required env vars

What the Bypawel Tachibot MCP server does

How models use it and what it is built for.

Orchestrate multiple AI models (Perplexity, Grok, OpenAI, Gemini, OpenRouter) with 31 tools and YAML workflows. For developers building multi-model AI agents, research pipelines, and code analysis systems.

Connect to Bypawel Tachibot

Local install — runs as a subprocess.

npx tachibot-mcp@2.0.5

Environment variables

Configuration this server reads at startup.

  • PERPLEXITY_API_KEYRequiredSecret

    Perplexity API key for web search, research, and reasoning (https://www.perplexity.ai/settings/api)

  • GROK_API_KEYRequiredSecret

    Grok/xAI API key for code analysis, debugging, and architecture (https://console.x.ai/)

  • OPENAI_API_KEYRequiredSecret

    OpenAI API key for GPT-5 analysis and comparison (https://platform.openai.com/api-keys)

  • GOOGLE_API_KEYSecret

    Google Gemini API key for brainstorming and code/text analysis (https://aistudio.google.com/apikey)

  • OPENROUTER_API_KEYSecret

    OpenRouter API key for Qwen3 Coder and other models

  • TACHIBOT_PROFILE

    Tool profile selection: minimal, research_power, code_focus, balanced, or full (default: balanced)

Resources

Where to find authoritative docs and source for Bypawel Tachibot.

Example prompts for Bypawel Tachibot

Paste any of these into Agent Studio after connecting Bypawel Tachibot.

  • Set up a balanced profile workflow that chains Perplexity for research, then Grok for code analysis
  • Compare how GPT-5 and Grok handle this architecture problem using the comparison tool
  • Configure tachibot-mcp with the code_focus profile and list available tools
  • Explain how token-optimized profiles reduce API costs across multiple model calls

Bypawel Tachibot MCP server — FAQ

Common questions about connecting and running Bypawel Tachibot.

  • What models does tachibot-mcp support?

    It supports Perplexity (web search and research), Grok/xAI (code analysis and debugging), OpenAI (GPT-5 analysis), Google Gemini (brainstorming and text analysis), and OpenRouter models like Qwen3 Coder. You configure which ones to use via API keys.

  • Do I need all five API keys to use tachibot-mcp?

    No. Perplexity, Grok, and OpenAI keys are required; Google Gemini and OpenRouter are optional. Start with the three required keys and add others as needed for your workflow.

  • What are token-optimized profiles and how do I choose one?

    Profiles (minimal, research_power, code_focus, balanced, full) control which of the 31 tools are active, reducing token usage and costs. Set TACHIBOT_PROFILE to match your use case; balanced is the default.

  • Can I define custom workflows in YAML?

    Yes, tachibot-mcp supports YAML workflows for orchestrating multi-step AI tasks. Refer to the project documentation for workflow schema and examples.

  • How do I install and run tachibot-mcp?

    Install with `npx tachibot-mcp@2.0.5`, set your required API keys (PERPLEXITY_API_KEY, GROK_API_KEY, OPENAI_API_KEY), optionally set TACHIBOT_PROFILE, and connect via stdio transport to your MCP client.

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