chain-of-thought-mcp-server
An mcp server to inject raw chain of thought tokens from a reasoning model.
Documentation
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
1. Clone this repository to your local machine.
2. Run ```uv sync``` to install depencies
3. Get a Groq API key from here.
4. 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:
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.
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:
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
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 bookingFrequently asked questions
What is chain-of-thought-mcp-server?
chain-of-thought-mcp-server is An mcp server to inject raw chain of thought tokens from a reasoning model.
How do I install chain-of-thought-mcp-server?
Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.
Is chain-of-thought-mcp-server open source?
Yes — it is hosted on GitHub at https://github.com/beverm2391/chain-of-thought-mcp-server and has 11 stars.
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