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Reasoning Traces

Give your coding agent a stronger brain to consult.

Reasoning Traces is an MCP server + Claude Code plugin. It adds a deep_reasoning tool: the agent sends a hard problem (plus the code and context it has gathered) to a stronger reasoning model, gets back the model's full reasoning trace, and uses that trace to shape and cross-check its own answer.

By default it talks to CoreThink's hosted reasoning endpoint — you only need a CoreThink API key; the reasoning model and provider are managed server-side. (Self-host / OpenRouter / Anthropic backends are also supported — see Backends.)

Install (Claude Code)

Prerequisites: uv (curl -LsSf https://astral.sh/uv/install.sh | sh) and a CoreThink API key (contact CoreThink to get one).

  1. Export your key (add to ~/.zshrc / ~/.bashrc to persist):

    export CORETHINK_API_KEY=ct-...
  2. In Claude Code:

    /plugin marketplace add dhruv-corethink/reasoning-traces
    /plugin install reasoning-traces@corethink
  3. Restart Claude Code (or start a new session). Done — the plugin works in every project.

Verify with /mcp (the reasoning-traces server should be connected).

Related MCP server: Deepseek Thinker MCP Server

Usage

  • Automatic — Claude Code calls deep_reasoning on its own when a task involves multi-step reasoning (subtle bugs, architecture trade-offs, algorithm design, math). The tool description steers this.

  • On demand — force a consultation:

    /reason why does this async queue deadlock under load?

The tool result contains the reasoning model's full trace plus its conclusion; Claude Code verifies it against your actual code before answering.

Team rollout (zero-command install)

Add this to a shared repo's .claude/settings.json and every teammate gets the plugin automatically when they trust the workspace:

{
  "extraKnownMarketplaces": {
    "corethink": {
      "source": { "source": "github", "repo": "dhruv-corethink/reasoning-traces" }
    }
  },
  "enabledPlugins": { "reasoning-traces@corethink": true }
}

Each teammate still needs their own CORETHINK_API_KEY in their environment.

Configuration

The shipped plugin uses the corethink backend and needs only CORETHINK_API_KEY. The other variables apply when you switch backends (see Backends); set them in your shell or a per-project .env file (the server loads .env from the working directory; existing env vars win).

Variable

Default

Meaning

CORETHINK_API_KEY

—

Required for the default (corethink) backend

CORETHINK_BASE_URL

CoreThink Cloud Run URL

Override the reasoning endpoint (rarely needed)

REASONING_BACKEND

corethink (plugin)

corethink, openrouter, or anthropic

REASONING_EFFORT

high

low/medium/high (backend-dependent)

REASONING_MAX_TOKENS

32000

Output cap for the reasoning call

REASONING_MAX_RESULT_CHARS

32000

Truncation cap on the tool result

With the corethink backend the reasoning model is chosen server-side (Claude Opus 4.8 by default).

Other MCP clients

Any MCP client (Claude Desktop, Cursor, etc.) can run the server without the plugin:

{
  "mcpServers": {
    "reasoning-traces": {
      "command": "uvx",
      "args": ["--from", "git+https://github.com/dhruv-corethink/reasoning-traces", "reasoning-traces"],
      "env": { "REASONING_BACKEND": "corethink", "CORETHINK_API_KEY": "ct-..." }
    }
  }
}

Or with plain Claude Code CLI, no plugin:

claude mcp add --scope user reasoning-traces --env REASONING_BACKEND=corethink --env CORETHINK_API_KEY=ct-... -- uvx --from git+https://github.com/dhruv-corethink/reasoning-traces reasoning-traces

Custom backends

reasoning_traces/backends.py defines a tiny interface — reason(prompt) -> ReasoningResult(trace, conclusion). Three backends ship today (select with REASONING_BACKEND):

  • corethink (default) — CoreThink's hosted reasoning endpoint. Needs only CORETHINK_API_KEY; the upstream provider, model, and key stay server-side.

  • openrouter — any reasoning model on OpenRouter directly (OPENROUTER_API_KEY, REASONING_MODEL).

  • anthropic — Claude with adaptive thinking (ANTHROPIC_API_KEY; summarized reasoning — the Anthropic API never exposes raw chain of thought).

Development

git clone https://github.com/dhruv-corethink/reasoning-traces
cd reasoning-traces
echo "OPENROUTER_API_KEY=sk-or-v1-..." > .env   # gitignored

Open Claude Code in the repo — .mcp.json runs the server straight from source via uvx. The .env is loaded by the server at startup.

License

MIT

Available Tools

1 tool
deep_reasoningA

Consult a stronger reasoning model and get its full reasoning trace.

Call this BEFORE proposing a solution whenever the task involves multi-step reasoning: subtle bugs or race conditions, architectural trade-offs, algorithm design, math, or anything where a first instinct could be wrong. Use the returned trace to guide and cross-check your own answer.

The reasoning model cannot see this conversation — pass everything it needs.

Args: problem: The question or task, stated precisely. context: Relevant code, error output, logs, or background you have gathered. Include full snippets, not paraphrases. constraints: Hard requirements the solution must satisfy (performance, compatibility, style), if any.

Inputs: problem (required), context, constraints. Returns: result

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    A4.6/5.0

    Scored across 1 tool

    Disambiguation5/5

    With only one tool, there is no ambiguity. The tool's purpose is clearly defined and distinct from anything else.

    Naming Consistency5/5

    The single tool uses a clear, descriptive snake_case name that is consistent within itself and standard for MCP tools.

    Tool Count3/5

    One tool is below the typical 3-15 range but suits the narrow purpose of providing reasoning traces. It feels thin but not inappropriate.

    Completeness4/5

    The tool covers the core functionality of retrieving a reasoning trace with necessary parameters. Minor gaps exist, such as lacking model selection, but it is largely complete for its stated purpose.

    Maintenance

    ActivityInactive
    ResponsivenessNo recent community issues

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