Chain of Thought MCP Server
Servidor MCP de cadena de pensamiento
El artículo reciente de Anthropic "La herramienta "pensar": permitir que Claude se detenga y piense en situaciones complejas de uso de herramientas" muestra que el uso de una herramienta think externa aumenta notablemente el rendimiento en SWE Bench .
Este servidor MCP utiliza la API de Groq para llamar a los LLM que exponen tokens de cadena de pensamiento sin procesar del modelo qwq de Qwen.
Instalación
Clone este repositorio en su máquina local.
Ejecute
uv syncpara instalar las dependenciasObtenga una clave API de Groq desde aquí .
Actualice su configuración de mcp con:
"mcpServers": {
"chain_of_thought": {
"command": "uv",
"args": [
"--directory",
"path/to/cot-mcp-server",
"run",
"src/server.py"
],
"env": {
"GROQ_API_KEY": "your-groq-api-key"
}
}
}La ruta debe ser la ruta local de este repositorio. Puede obtenerla fácilmente ejecutando pwd en la terminal desde la raíz del repositorio.
Related MCP server: Local LLM MCP Tool
Dar instrucciones a la IA para que utilice este servidor MCP
Personalmente, prefiero que el agente llame a esta herramienta en cada solicitud para mejorar el rendimiento. Añado esto a mis reglas para el agente:
<IMPORTANT>
<when_to_use_tool>
You should call the mcp chain_of_thought tool every time you talk to the user, which generates a chain-of-thought stream which you will use to complete the user's request.
</when_to_use_tool>
Before taking any action or responding to the user use the chain of thought tool as a scratchpad to:
- List the specific rules that apply to the current request
- Check if all required information is collected
- Verify that the planned action complies with all policies
- Iterate over tool results for correctness
Here are some examples of what to iterate over inside the think tool:
<cot_tool_example_1>
User wants to cancel flight ABC123
- Need to verify: user ID, reservation ID, reason
- Check cancellation rules:
* Is it within 24h of booking?
* If not, check ticket class and insurance
- Verify no segments flown or are in the past
- Plan: collect missing info, verify rules, get confirmation
</cot_tool_example_1>
<cot_tool_example_2>
User wants to book 3 tickets to NYC with 2 checked bags each
- Need user ID to check:
* Membership tier for baggage allowance
* Which payments methods exist in profile
- Baggage calculation:
* Economy class × 3 passengers
* If regular member: 1 free bag each → 3 extra bags = $150
* If silver member: 2 free bags each → 0 extra bags = $0
* If gold member: 3 free bags each → 0 extra bags = $0
- Payment rules to verify:
* Max 1 travel certificate, 1 credit card, 3 gift cards
* All payment methods must be in profile
* Travel certificate remainder goes to waste
- Plan:
1. Get user ID
2. Verify membership level for bag fees
3. Check which payment methods in profile and if their combination is allowed
4. Calculate total: ticket price + any bag fees
5. Get explicit confirmation for booking
</cot_tool_example_2>
</IMPORTANT>Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Tools
Related MCP Servers
- FlicenseBqualityDmaintenanceA lightweight MCP server that provides a unified interface to various LLM providers including OpenAI, Anthropic, Google Gemini, Groq, DeepSeek, and Ollama.6737
- Alicense-qualityDmaintenanceA local MCP server that runs Llama models entirely on your machine. No API keys, no cloud costs, 100% private and offline-capable.MIT
- Alicense-qualityDmaintenanceA VRAM-aware MCP server that offloads token-heavy development tasks to local Ollama models, saving API tokens for complex reasoning.1,209MIT
- Flicense-qualityCmaintenanceA proof-of-concept MCP server that enables LLMs to read local text files and fetch real-time weather data through external tools.
Related MCP Connectors
Hosted MCP server connecting claude.ai, ChatGPT and other AI apps to your own computer
MCP server for AI dialogue using various LLM models via AceDataCloud
MCP server for GLM chat completions using Zhipu AI models via AceDataCloud
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/beverm2391/chain-of-thought-mcp-server'
If you have feedback or need assistance with the MCP directory API, please join our Discord server