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Retrieval-Augmented Thinking MCP Server

by stat-guy
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JavaScript

RAT MCP Server (Node.js)

Retrieval Augmented Thinking MCP Server - A reasoning tool that processes structured thoughts with metrics, branching, and revision capabilities.

Installation

Simple 3-Step Process

git clone https://github.com/stat-guy/retrieval-augmented-thinking.git
cd retrieval-augmented-thinking
npm install -g .

Verify Installation

Test that the installation worked:

npx mcp-server-rat-node --help

Success indicator: If you see RAT MCP Server (Node.js) running on stdio, your installation is ready!

Related MCP server: Sequential Thinking MVP Server

Claude Desktop Configuration

Add to your Claude Desktop configuration file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "retrieval-augmented-thinking": {
      "command": "npx",
      "args": ["mcp-server-rat-node"]
    }
  }
}

After adding the configuration, restart Claude Desktop to load the RAT server.

Usage

The server provides a single rat tool for processing structured thoughts:

// Basic usage
{
  "thought": "I need to analyze this problem step by step...",
  "nextThoughtNeeded": true,
  "thoughtNumber": 1,
  "totalThoughts": 3
}

// With revision
{
  "thought": "Let me reconsider my previous analysis...",
  "nextThoughtNeeded": false,
  "thoughtNumber": 2,
  "totalThoughts": 3,
  "isRevision": true,
  "revisesThought": 1
}

// With branching
{
  "thought": "Alternative approach: what if we consider...",
  "nextThoughtNeeded": true,
  "thoughtNumber": 2,
  "totalThoughts": 4,
  "branchFromThought": 1,
  "branchId": "alt-path-1"
}

Tool Parameters

Required

  • thought (string): The thought content to process

  • nextThoughtNeeded (boolean): Whether another thought is needed to continue

  • thoughtNumber (integer): Current thought number in the sequence

  • totalThoughts (integer): Total expected thoughts (adjustable)

Optional

  • isRevision (boolean): Whether this revises a previous thought

  • revisesThought (integer): The thought number being revised

  • branchFromThought (integer): Thought number to branch from

  • branchId (string): Unique identifier for this branch

  • needsMoreThoughts (boolean): Extend beyond totalThoughts if needed

Response Format

{
  "thought_number": 1,
  "total_thoughts": 3,
  "metrics": {
    "complexity": 0.342,
    "depth": 0.521,
    "quality": 0.643,
    "impact": 0.289,
    "confidence": 0.758
  },
  "analytics": {
    "total_thoughts": 5,
    "average_quality": 0.612,
    "chain_effectiveness": 0.145
  },
  "next_thought_needed": true,
  "visual_output": "ā”Œā”€ šŸ’­ Thought 1/3 ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”\\nā”‚ Analysis shows clear patterns... ā”‚\\nā”œā”€ Metrics ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”¤\\nā”‚ Quality: 0.64 | Impact: 0.29... ā”‚\\nā””ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”˜"
}

Troubleshooting

If Installation Fails

The installation process includes automatic permission fixes. If you encounter issues:

  1. Ensure you have Node.js and npm installed

  2. Try the alternative installation method:

    npm install -g git+https://github.com/stat-guy/retrieval-augmented-thinking.git

  3. For rare permission issues:

    chmod +x $(npm bin -g)/mcp-server-rat-node

Verification Steps

Before configuring Claude Desktop, always verify:

npx mcp-server-rat-node --help

If this shows "RAT MCP Server (Node.js) running on stdio", you're ready to configure Claude Desktop.

Testing

Run the test suite:

npm test

Test tool execution:

node test-tool.js

License

This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.

Available Tools

1 tool
ratB

A context-aware reasoning system that orchestrates structured thought processes through dynamic trajectories.

Core Capabilities:

  • Maintains adaptive thought chains with branching and revision capabilities

  • Implements iterative hypothesis generation and validation cycles

  • Preserves context coherence across non-linear reasoning paths

  • Supports dynamic scope adjustment and trajectory refinement

Reasoning Patterns:

  • Sequential analysis with backtracking capability

  • Parallel exploration through managed branch contexts

  • Recursive refinement via structured revision cycles

  • Hypothesis validation through multi-step verification

Parameters: thought: Structured reasoning step that supports: ā€¢ Primary analysis chains ā€¢ Hypothesis formulation/validation ā€¢ Branch exploration paths ā€¢ Revision proposals ā€¢ Context preservation markers ā€¢ Verification checkpoints

next_thought_needed: Signal for continuation of reasoning chain thought_number: Position in current reasoning trajectory total_thoughts: Dynamic scope indicator (adjustable) is_revision: Marks recursive refinement steps revises_thought: References target of refinement branch_from_thought: Indicates parallel exploration paths branch_id: Context identifier for parallel chains needs_more_thoughts: Signals scope expansion requirement

Execution Protocol:

  1. Initialize with scope estimation

  2. Generate structured reasoning steps

  3. Validate hypotheses through verification cycles

  4. Maintain context coherence across branches

  5. Implement revisions through recursive refinement

  6. Signal completion on validation success

The system maintains solution integrity through continuous validation cycles while supporting dynamic scope adjustment and non-linear exploration paths.

ParametersJSON Schema
NameRequiredDescriptionDefault
thoughtYesYour current thinking step
branchIdNoBranch identifier
isRevisionNoWhether this revises previous thinking
thoughtNumberYesCurrent thought number
totalThoughtsYesEstimated total thoughts needed
revisesThoughtNoWhich thought is being reconsidered
branchFromThoughtNoBranching point thought number
needsMoreThoughtsNoIf more thoughts are needed
nextThoughtNeededYesWhether another thought step is needed

TDQS

B3.1/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It describes capabilities like branching and revisions but does not disclose side effects, statefulness, or what the tool returns when invoked. The behavior is described conceptually rather than practically.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Structured with sections and bullet points, making it skimmable. However, it is somewhat verbose with overlapping sections (Core Capabilities vs Reasoning Patterns). Could be tightened without losing meaning.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description is thorough about reasoning patterns but omits what the tool actually returns or how the agent should interpret the result. With no output schema and no annotations, this is a significant gap for correct invocation and result handling.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema covers all 9 parameters with basic descriptions. The description adds value by categorizing what each parameter supports (e.g., 'thought' supports hypothesis formulation, branch exploration, etc.) and providing domain context for fields like branch_id and is_revision.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states it is a context-aware reasoning system that orchestrates structured thought processes. The verb 'orchestrates' and resource 'thought processes' are explicit, but the tool's operational purpose for an agent is somewhat abstract; no siblings to differentiate from.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides an Execution Protocol with steps, implying a multi-step reasoning workflow. However, it does not explicitly state when to use this tool versus other tools, as there are no siblings, nor does it give conditions for non-use.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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TDQS

B3.1/5.0
Disambiguation5/5

Only one tool exists, so there is no possibility of confusion or misselection. The tool's purpose, while broad, is clearly the sole entry point.

Naming Consistency2/5

The single tool name 'rat' is vague and does not follow a clear verb_noun pattern or any recognizable convention. With only one tool, there's no consistent pattern to infer, and the name appears arbitrary.

Tool Count3/5

Exposing just one tool is on the lower end of acceptable, borderline 'thin.' Although the tool is highly capable, a server focused on 'Retrieval-Augmented Thinking' might benefit from separate tools for retrieval and reasoning sub-tasks.

Completeness2/5

The server name implies both retrieval and thinking, but the tool only covers the reasoning aspect, missing retrieval or external context fetching. This leaves a significant gap in the expected functionality, and the single tool is overloaded with parameters rather than modularly covering the domain.

Maintenance

ActivityInactive
ResponsivenessNo issues

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