TachiBot MCP v2.0: 31 AI tools (32 with competitive mode) with complete TypeScript schemas. Multi-model orchestration (Perplexity, Grok, OpenAI, Gemini, Qwen), YAML workflows, 5 token-optimized profiles (4k-20k tokens). Smart routing, parallel execution.
npm install tachibot-mcp




48 AI tools. 7 providers. One protocol.
Orchestrate Perplexity, Grok, GPT-5, Gemini, Qwen, Kimi K2.5, and MiniMax M2.1
from Claude Code, Claude Desktop, Cursor, or any MCP client.
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gemini_judge — Science-backed LLM-as-a-Judge (arXiv:2411.15594). 4 modes: synthesize, evaluate, rank, resolvejury — Multi-model jury panel. Configurable jurors (grok, openai, qwen, kimi, perplexity, minimax) run in parallel, Gemini synthesizes the verdict. Based on "Replacing Judges with Juries" (Cohere, arXiv:2404.18796)sonar-pro model ID (was accidentally using lightweight sonar)perplexity_research now uses sonar-deep-research — exhaustive multi-source reports in a single callqwen_coder now runs on Qwen3-Coder-Next (Feb 2026) — purpose-built for agentic coding:| | Before (qwen3-coder) | After (qwen3-coder-next) |
|---|---|---|
| Params | 480B / ~35B active | 80B / 3B active |
| Context | 131K | 262K |
| SWE-Bench | 69.6% | >70% |
| Pricing | $0.22/$0.88 per M | $0.07/$0.30 per M |
3x cheaper, 2x context, better benchmarks. Falls back to legacy 480B on provider failure.
kimi_thinking | Step-by-step reasoning | Agent Swarm architecture |kimi_code | Code generation & fixing | SWE-Bench 76.8% |kimi_decompose | Task decomposition | Dependency graphs, parallel subtasks |kimi_long_context | Document analysis | 256K context window |minimax_code — SWE tasks at very low cost (72.5% SWE-Bench)minimax_agent — Agentic workflows (77.2% τ²-Bench)qwen_reason — Heavy reasoning with Qwen3-Max-Thinking (>1T params, 98% HMMT math)---
---
``bash`
npm install -g tachibot-mcp
Gateway Mode (Recommended) — 2 keys, all providers:
`json`
{
"mcpServers": {
"tachibot": {
"command": "tachibot",
"env": {
"OPENROUTER_API_KEY": "sk-or-xxx",
"PERPLEXITY_API_KEY": "pplx-xxx",
"USE_OPENROUTER_GATEWAY": "true"
}
}
}
}
Direct Mode — One key per provider:
`json`
{
"mcpServers": {
"tachibot": {
"command": "tachibot",
"env": {
"PERPLEXITY_API_KEY": "your-key",
"GROK_API_KEY": "your-key",
"OPENAI_API_KEY": "your-key",
"GOOGLE_API_KEY": "your-key",
"OPENROUTER_API_KEY": "your-key"
}
}
}
}
Get keys: OpenRouter | Perplexity
See Installation Guide for detailed instructions.
---
· perplexity_research · perplexity_reason · grok_search · openai_search · gemini_search$3
grok_reason · openai_reason · qwen_reason · kimi_thinking · kimi_decompose · planner_maker · planner_runner · list_plans$3
kimi_code · grok_code · grok_debug · qwen_coder · qwen_algo · qwen_competitive · minimax_code · minimax_agent$3
gemini_analyze_text · gemini_analyze_code · gemini_brainstorm · openai_brainstorm · openai_code_review · openai_explain · grok_brainstorm · grok_architect · kimi_long_context$3
think · nextThought · focus · tachi · usage_stats$3
workflow · workflow_start · continue_workflow · list_workflows · create_workflow · visualize_workflow · workflow_status · validate_workflow · validate_workflow_file$3
list_prompt_techniques · preview_prompt_technique · execute_prompt_technique$3
- Challenger — Critical analysis with multi-model fact-checking
- Verifier — Multi-model consensus verification
- Scout — Hybrid intelligence gathering---
Example Usage
$3
`typescript
// Create a plan with multi-model council
planner_maker({ task: "Build a REST API with auth and tests", mode: "start" })
// → Grok searches → Qwen analyzes → Kimi decomposes → GPT critiques → Gemini synthesizes// Execute with checkpoints
planner_runner({ plan: planContent, mode: "step", stepNum: 1 })
// → Automatic verification at 50%, 80% (kimi_decompose), and 100%
`$3
`typescript
kimi_decompose({
task: "Migrate monolith to microservices",
depth: 3,
outputFormat: "dependencies"
})
// → Structured subtasks with IDs, parallel flags, acceptance criteria
`$3
`typescript
kimi_code({
task: "review",
code: "function processPayment(amount, card) { ... }",
language: "typescript"
})
// → SWE-Bench 76.8% quality analysis
`$3
`typescript
focus({
query: "Design a scalable event-driven architecture",
mode: "deep-reasoning",
models: ["grok", "gemini", "kimi"],
rounds: 5
})
``---
- Full Documentation
- Installation Guide
- Configuration
- Tools Reference
- Workflows Guide
- API Keys Guide
- Focus Modes
---
Contributions welcome! See CONTRIBUTING.md for guidelines.
- Report Issues
- Request Features
---
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AGPL-3.0 — see LICENSE for details.
Made with care by @byPawel
Multi-model AI orchestration, unified.