tachibot-mcp
Multi-model AI orchestration with 31 tools, YAML workflows, and 5 token-optimized profiles.
MCP 服务配置
复制以下 JSON 到 OPClaw 或其他 MCP 客户端的配置文件中即可使用
{
"mcpServers": {
"tachibot-mcp": {
"args": [
"tachibot-mcp@2.0.5"
],
"command": "npx"
}
}
}
可用工具 (5 个)
该服务在 MCP 协议中暴露的工具,AI 可按需调用
tavily_search 14 个参数 需填 1 项
Search the web for current information on any topic. Use for news, facts, or data beyond your knowledge cutoff. Returns snippets and source URLs.
必填参数:query
tavily_extract 6 个参数 需填 1 项
Extract content from URLs. Returns raw page content in markdown or text format.
必填参数:urls
tavily_crawl 11 个参数 需填 1 项
Crawl a website starting from a URL. Extracts content from pages with configurable depth and breadth.
必填参数:url
tavily_map 8 个参数 需填 1 项
Map a website's structure. Returns a list of URLs found starting from the base URL.
必填参数:url
tavily_research 2 个参数 需填 1 项
Perform comprehensive research on a given topic or question. Use this tool when you need to gather information from multiple sources to answer a question or complete a task. Returns a detailed response based on the research findings.
必填参数:input
服务介绍
TachiBot MCP
# # Multi-Model AI Orchestration Platform
[](# -tool-ecosystem-51-tools)

51 AI tools. 7 providers. One protocol.
Orchestrate Perplexity, Grok, GPT-5, Gemini, Qwen, Kimi K2.5, and MiniMax M2.5
from Claude Code, Claude Desktop, Cursor, or any MCP client.
[Get Started](# -quick-start) &# 183; [View Tools](# -tool-ecosystem-51-tools) &# 183; Documentation
If TachiBot helps your workflow, a star goes a long way.
# What's New in v2.15.0
# # /blueprint Skill — Multi-Model Implementation Planning
New skill that creates bite-sized TDD implementation plans using a 7-step multi-model council:
/blueprint add OAuth with refresh tokens
Pipeline: Grok search → Qwen+Kimi analysis → Kimi decompose → GPT pre-mortem critique → Gemini final judgment → bite-sized TDD output (exact files, test-first steps, commit points).
Bridges planner_maker's multi-model intelligence with the writing-plans execution format.
# # 31 Prompt Engineering Techniques (was 22)
Added 9 research-backed techniques for coding and decision-making:
| Technique | Source | Category |
|- -- -- -- -- --|- -- -- -- -|- -- -- -- -- -|
| reflexion | Shinn et al. 2023 | Engineering |
| react (ReAct) | Yao et al. 2022 | Engineering |
| rubber_duck | Hunt & Thomas 2008 | Engineering |
| test_driven | Beck 2003 | Engineering |
| scot (Structured CoT) | Li et al. 2025 (+13.79% HumanEval) | Structured Coding |
| pre_post (Contracts) | Empirical SE 2025 | Structured Coding |
| bdd_spec (Given/When/Then) | BDD 2025 | Structured Coding |
| least_to_most | Zhou et al. 2022 | Research |
| pre_mortem | Klein 2007 | Decision |
Techniques are embedded directly in tool system prompts for automatic application.
# # MiniMax M2.5 Upgrade
minimax_code— SWE-Bench 80.2%, per-task TECHNIQUE tags (SCoT, reflexion, rubber_duck), per-task temperaturesminimax_agent— ReAct + least-to-most decomposition protocol, HALT criteria
# # Enhanced Skills
/breakdown— now usesleast_to_mostordering +pre_mortemfailure analysis/judge— first judge now runs pre-mortem ("assume this FAILED")/decompose— deep-dives include pre/post contracts per sub-problem/prompt— auto-recommend flow with 30-intent matching guide, 13 categories
# Skills (Claude Code)
TachiBot ships with 9 slash commands for Claude Code. These orchestrate the tools into powerful workflows:
| Skill | What it does | Example |
|- -- -- --|- -- -- -- -- -- --|- -- -- -- --|
| /blueprint | Multi-model planning → bite-sized TDD steps | /blueprint add OAuth with refresh tokens |
| /judge | Multi-model council - parallel analysis with synthesis | /judge how to implement rate limiting |
| /think | Sequential reasoning chain with any model | /think grok,gemini design a cache layer |
| /focus | Mode-based reasoning (debate, research, analyze) | /focus architecture-debate Redis vs Pg |
| /breakdown | Strategic decomposition with pre-mortem | /breakdown refactor payment module |
| /decompose | Split into sub-problems, deep-dive each one | /decompose implement collaborative editor |
| /prompt | Recommend the right thinking technique (31 available) | /prompt why do users churn |
| /algo | Algorithm analysis with 3 specialized models | /algo optimize LRU cache O(1) |
| /tachi | Help - see available skills, tools, key status | /tachi |
Skills automatically adapt to your configured API keys. Even with just 1-2 providers, all skills work.
Getting started? Type
/tachito see what's available.
# Key Features
# # Multi-Model Intelligence
- 51 AI Tools across 7 providers — Perplexity, Grok, GPT-5, Gemini, Qwen, Kimi, MiniMax
- Multi-Model Council — planner_maker synthesizes plans from 5+ models into bite-sized TDD steps
- Smart Routing — Automatic model selection for optimal results
- OpenRouter Gateway — Optional single API key for all providers
# # Advanced Workflows
- YAML-Based Workflows — Multi-step AI processes with dependency graphs
- Prompt Engineering — 31 research-backed techniques (including SCoT, ReAct, Reflexion)
- Verification Checkpoints — 50% / 80% / 100% with automated quality scoring
- Parallel Execution — Run multiple models simultaneously
# # Tool Profiles
| Profile | Tools | Best For |
|- -- -- -- --|- -- -- --|- -- -- -- -- -|
| Minimal | 12 | Quick tasks, low token budget |
| Research Power | 31 | Deep investigation, multi-source |
| Code Focus | 29 | Software development, SWE tasks |
| Balanced | 39 | General-purpose, mixed workflows |
| Heavy Coding (default) | 45 | Max code tools + agentic workflows |
| Full | 51 | Everything enabled |
# # Developer Experience
- Claude Code — First-class support
- Claude Desktop — Full integration
- Cursor — Works seamlessly
- TypeScript — Fully typed, extensible
# Quick Start
# # Installation
npm install -g tachibot-mcp
# # Setup
Gateway Mode (Recommended) — 2 keys, all providers:
{
"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:
{
"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.
# Tool Ecosystem (51 Tools)
# # Research & Search (6)
perplexity_ask &# 183; perplexity_research &# 183; perplexity_reason &# 183; grok_search &# 183; openai_search &# 183; gemini_search
# # Reasoning & Planning (9)
grok_reason &# 183; openai_reason &# 183; qwen_reason &# 183; qwq_reason &# 183; kimi_thinking &# 183; kimi_decompose &# 183; planner_maker &# 183; planner_runner &# 183; list_plans
# # Code Intelligence (8)
kimi_code &# 183; grok_code &# 183; grok_debug &# 183; qwen_coder &# 183; qwen_algo &# 183; qwen_competitive &# 183; minimax_code &# 183; minimax_agent
# # Analysis & Judgment (11)
gemini_analyze_text &# 183; gemini_analyze_code &# 183; gemini_judge &# 183; jury &# 183; gemini_brainstorm &# 183; openai_brainstorm &# 183; openai_code_review &# 183; openai_explain &# 183; grok_brainstorm &# 183; grok_architect &# 183; kimi_long_context
# # Meta & Orchestration (5)
think &# 183; nextThought &# 183; focus &# 183; tachi &# 183; usage_stats
# # Workflows (9)
workflow &# 183; workflow_start &# 183; continue_workflow &# 183; list_workflows &# 183; create_workflow &# 183; visualize_workflow &# 183; workflow_status &# 183; validate_workflow &# 183; validate_workflow_file
# # Prompt Engineering (3)
list_prompt_techniques &# 183; preview_prompt_technique &# 183; execute_prompt_technique
# # Advanced Modes (bonus)
- Challenger — Critical analysis with multi-model fact-checking
- Verifier — Multi-model consensus verification
- Scout — Hybrid intelligence gathering
# Example Usage
# # Multi-Model Planning
// 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%
# # Task Decomposition
kimi_decompose({
task: "Migrate monolith to microservices",
depth: 3,
outputFormat: "dependencies"
})
// → Structured subtasks with IDs, parallel flags, acceptance criteria
# # Code Review
kimi_code({
task: "review",
code: "function processPayment(amount, card) { ... }",
language: "typescript"
})
// → SWE-Bench 76.8% quality analysis
# # Deep Reasoning
focus({
query: "Design a scalable event-driven architecture",
mode: "deep-reasoning",
models: ["grok", "gemini", "kimi"],
rounds: 5
})
# Documentation
- Full Documentation
- Installation Guide
- Configuration
- Tools Reference
- Workflows Guide
- API Keys Guide
- Focus Modes
# # Setup Guides
# Contributing
Contributions welcome! See CONTRIBUTING.md for guidelines.
# # Like what you see?
Star on GitHub — it helps more than you think.
Website &# 183; Docs &# 183; npm &# 183; Issues
AGPL-3.0 — see LICENSE for details.
Made with care by @byPawel
Multi-model AI orchestration, unified.