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    Unconventional Thinking

    An MCP server for unconventional and boundary-breaking problem-solving through an advanced note-taking system.

    24 stars
    JavaScript
    Updated Sep 27, 2025

    Table of Contents

    • Architecture: Context-Saving Design
    • Key Context-Saving Features
    • Features
    • Tools (All Context-Efficient, MCP spec 2025-11-25)
    • Resources (On-Demand Content Loading)
    • How This Implements Context Efficiency
    • 1. Progressive Disclosure
    • 2. Server-Side Filtering
    • 3. Metadata-First Pattern
    • Development
    • Installation
    • Usage Example
    • Debugging
    • References

    Table of Contents

    • Architecture: Context-Saving Design
    • Key Context-Saving Features
    • Features
    • Tools (All Context-Efficient, MCP spec 2025-11-25)
    • Resources (On-Demand Content Loading)
    • How This Implements Context Efficiency
    • 1. Progressive Disclosure
    • 2. Server-Side Filtering
    • 3. Metadata-First Pattern
    • Development
    • Installation
    • Usage Example
    • Debugging
    • References

    Documentation

    Unconventional Thinking Server (v0.3.0)

    A context-efficient MCP server for bold, unconventional, and boundary-breaking problem-solving.

    This is a TypeScript-based MCP server that implements an unconventional thinking system optimized for context space savings based on Anthropic's latest MCP architecture patterns. It generates and tracks creative solutions to problems while maintaining efficiency.

    MCP spec 2025-11-25 compliant — uses @modelcontextprotocol/sdk v1.27.1 with tool title, annotations, outputSchema, structuredContent responses, and resource_link content type.

    Architecture: Context-Saving Design

    This server demonstrates Anthropic's recommended patterns for reducing context overhead by 98.7%:

    Key Context-Saving Features

    1. Resources API for On-Demand Data Loading

    • Thought content is stored as resources (thought://id)
    • Claude loads full content only when explicitly needed
    • Metadata is returned by default, saving tokens

    2. Server-Side Filtering

    • search_thoughts filters data locally instead of passing unfiltered sets to Claude
    • Only matching results returned, not entire dataset
    • Reduces context consumption by filtering at the source

    3. Metadata-First Returns

    • Tools return only essential metadata + resource URIs
    • Full thought content accessible via Resources API
    • Claude decides whether to fetch full content based on need

    4. Persistent File-Based Storage

    • Data persists in .thoughts/ directory
    • No in-memory bloat accumulating across sessions
    • Easy to inspect and debug thoughts locally

    Features

    Tools (All Context-Efficient, MCP spec 2025-11-25)

    Each tool now includes:

    • title — human-readable display name shown in client UIs
    • annotations — behaviour hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint)
    • outputSchema — JSON Schema describing the structured result
    • structuredContent in responses — machine-readable output conforming to the schema
    • resource_link content items — explicit links clients can subscribe to or fetch

    ---

    • generate_unreasonable_thought — Generate new unconventional thoughts
    • Returns resource_link + structuredContent, not raw text blobs
    • Can build upon or rebel against previous thoughts
    • Full thought content available via Resources API
    • branch_thought — Create new branches of thinking
    • Supports directions: more_extreme, opposite, tangential (now enum-typed)
    • Returns resource_link + structuredContent for the new branch
    • search_thoughts — Efficient metadata search
    • Filters by branchId, isRebellion, challengesAssumption
    • Returns structuredContent with typed count + thoughts array
    • Includes limit parameter to control result size

    Resources (On-Demand Content Loading)

    • Each thought available as a resource: thought://[thoughtId]
    • Metadata includes: isRebellion, challengesAssumption, timestamp, branch info
    • Full thought content loaded only when Claude explicitly requests it
    • Dramatically reduces token usage when many thoughts exist

    How This Implements Context Efficiency

    1. Progressive Disclosure

    Claude doesn't need the full content of 100 thoughts upfront. Instead:

    • search_thoughts returns just IDs and metadata (100 bytes per thought)
    • Claude selectively fetches full content via Resources API for relevant thoughts
    • Similar to how filesystems work: list files, then open specific files

    2. Server-Side Filtering

    Traditional approach (❌ inefficient):

    code
    All 1000 thoughts → Claude → Claude filters → Uses only 10
    (costs tokens for all 1000)

    This server (✅ efficient):

    code
    search_thoughts filter params → Server filters locally → Returns only 10 results
    (Claude never sees the unused 990)

    3. Metadata-First Pattern

    Tool responses contain:

    • Thought ID
    • Resource URI to access full content
    • Brief metadata (2-3 KB each)
    • NOT the full 500-character thought (saves ~5KB per thought)

    Example savings: With 100 thoughts:

    • Old way: 500KB context usage
    • New way: ~30KB + fetch only what's needed

    Development

    Install dependencies:

    bash
    npm install

    Build the server:

    bash
    npm run build

    For development with auto-rebuild:

    bash
    npm run watch

    Installation

    To use with Claude Desktop, add the server config:

    On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json

    On Windows: %APPDATA%/Claude/claude_desktop_config.json

    json
    {
      "mcpServers": {
        "unconventional-thinking": {
          "command": "/path/to/unconventional-thinking/build/index.js"
        }
      }
    }

    Usage Example

    code
    Claude: Generate an unreasonable thought about scaling problems
    → Tool: generate_unreasonable_thought("scaling problems")
    ← Returns: resource_link (thought://...) + structuredContent { thoughtId, isRebellion, ... }
    
    Claude: What are all the rebellious thoughts?
    → Tool: search_thoughts(isRebellion=true, limit=5)
    ← Returns: structuredContent { count, thoughts: [...metadata] }
    
    Claude: I need to see the full content of thought_xyz
    → Resource: Read thought://thought_xyz
    ← Returns: Full thought content (loaded only when needed)

    Debugging

    Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:

    bash
    npm run inspector

    The Inspector will provide a URL to access debugging tools in your browser.

    References

    This server implements patterns from:

    • Anthropic: Code Execution with MCP
    • Model Context Protocol Docs

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