Skip to main content
Glama

Chain of Thought MCP Server

by beverm2391

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:

<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>
-
security - not tested
F
license - not found
-
quality - not tested

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

An MCP server that uses Groq's API to expose raw chain-of-thought tokens from Qwen's qwq model, enabling LLMs to think step-by-step before responding.

  1. Installation
    1. Instructing The AI To Use This MCP Server

      Related MCP Servers

      • -
        security
        A
        license
        -
        quality
        A MCP server that exposes GraphQL schema information to LLMs like Claude. This server allows an LLM to explore and understand large GraphQL schemas through a set of specialized tools, without needing to load the whole schema into the context
        Last updated -
        58
        26
        JavaScript
        MIT License
        • Apple
        • Linux
      • -
        security
        A
        license
        -
        quality
        An MCP server that enables managing multiple lines of thought with features like branch navigation, cross-references between related thoughts, and insight generation from key points.
        Last updated -
        11
        TypeScript
        MIT License
        • Apple
      • -
        security
        A
        license
        -
        quality
        A Model Context Protocol (MCP) server that allows AI assistants like Claude to interact with Go's Language Server Protocol (LSP) and benefit from advanced Go code analysis features.
        Last updated -
        35
        Go
        Apache 2.0
      • -
        security
        A
        license
        -
        quality
        A minimal demonstration of an MCP service and client that integrates with the qwen API interface, showing basic functionality of a Model Control Protocol implementation.
        Last updated -
        Python
        MIT License

      View all related MCP servers

      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