This server enables context-efficient, persistent creation and management of unconventional problem-solving thoughts, minimizing token usage through metadata-first returns and on-demand resource loading.
Core Capabilities:
Generate Unconventional Thoughts - Create boundary-breaking ideas that challenge conventional wisdom, with options to force rebellious thinking or build upon previous thoughts
Branch Thinking Paths - Create divergent paths from existing thoughts in three directions: more extreme, opposite, or tangential
Search and Filter Efficiently - Find thoughts using server-side filtering by branch ID, rebellion status, or assumption challenges without loading unnecessary data
Access Content On-Demand - Retrieve full thought content only when needed via
thought://[thoughtId]resource URIs, reducing context usage by 98.7%Persistent Storage - All thoughts and metadata stored in local
.thoughts/directory, maintaining sessions across interactions and enabling inspection
Unconventional Thinking Server (v0.2.0)
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.
Architecture: Context-Saving Design
This server demonstrates Anthropic's recommended patterns for reducing context overhead by 98.7%:
Key Context-Saving Features
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
Server-Side Filtering
search_thoughtsfilters data locally instead of passing unfiltered sets to ClaudeOnly matching results returned, not entire dataset
Reduces context consumption by filtering at the source
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
Persistent File-Based Storage
Data persists in
.thoughts/directoryNo in-memory bloat accumulating across sessions
Easy to inspect and debug thoughts locally
Related MCP server: MCP Think Tool
Features
Tools (All Context-Efficient)
generate_unreasonable_thought- Generate new unconventional thoughtsReturns metadata + resource URI, not full content
Can build upon or rebel against previous thoughts
Full thought content available via Resources API
branch_thought- Create new branches of thinkingSupports directions: more extreme, opposite, tangential
Returns only branch metadata for efficiency
search_thoughts- NEW: Efficient metadata searchFilters by branchId, isRebellion, challengesAssumption
Returns only matching IDs and metadata
Includes limit parameter to control result size
Demonstrates server-side filtering pattern
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_thoughtsreturns 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):
This server (✅ efficient):
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:
Build the server:
For development with auto-rebuild:
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
Usage Example
Debugging
Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:
The Inspector will provide a URL to access debugging tools in your browser.
References
This server implements patterns from: