
Chain of Thought MCP Server
An mcp server to inject raw chain of thought tokens from a reasoning model.
what is Chain of Thought MCP Server?
Chain of Thought MCP Server is a server designed to inject raw chain-of-thought tokens from a reasoning model, enhancing the performance of AI interactions by utilizing external reasoning tools.
how to use Chain of Thought MCP Server?
To use the Chain of Thought MCP Server, clone the repository, obtain a Groq API key, and configure your MCP settings to include the server command and environment variables.
key features of Chain of Thought MCP Server?
- Integrates with Groq's API to enhance AI reasoning capabilities.
- Supports the injection of chain-of-thought tokens for improved decision-making.
- Provides a structured approach to AI interactions by using a scratchpad for verification and planning.
use cases of Chain of Thought MCP Server?
- Enhancing AI performance in complex decision-making scenarios.
- Assisting AI in verifying user requests and gathering necessary information.
- Streamlining interactions by ensuring compliance with policies and rules.
FAQ from Chain of Thought MCP Server?
- What is the purpose of the Chain of Thought MCP Server?
It is designed to improve AI reasoning by injecting chain-of-thought tokens, allowing for better performance in complex tasks.
- How do I install the Chain of Thought MCP Server?
Clone the repository, get a Groq API key, and update your MCP configuration as per the instructions provided.
- Can this server be used with any AI model?
It is specifically designed to work with models that support chain-of-thought reasoning, such as Qwen's qwq model.
Chain of Thought MCP Server
Anthropic's recent article "The "think" tool: Enabling Claude to stop and think in complex tool use situations" shows that using an external think
tool notably increases performance on SWE Bench.
This MCP Server uses Groq's API to call LLMs which expose raw chain-of-thought tokens from Qwen's qwq model.
Installation
- Clone this repository to your local machine.
- Run
uv sync
to install depencies - Get a Groq API key from here.
- Update your mcp configuration with:
"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"
}
}
}
The path should be the local path to this repository. You can get this easily by running pwd
in the terminal from the root of the repository.
Instructing The AI To Use This MCP Server
I personally prefer the agent call this tool on every request to increase performance. I add this to my rules for the agent:
<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>