Branch Thinking MCP Server
Pensamiento de rama
Un servidor MCP que implementa la navegación de pensamiento basada en ramas, con soporte para:
Múltiples ramas de pensamiento
Navegación por ramas (lista, foco, historial)
Referencias cruzadas entre pensamientos relacionados
Generación de información a partir de puntos clave
Seguimiento de prioridades de sucursales
Esto se basa en la herramienta sequential-thinking disponible aquí: https://github.com/modelcontextprotocol/servers/tree/main/src/sequentialthinking
Características
Gestión de sucursales : crear y navegar entre diferentes líneas de pensamiento
Referencias cruzadas : vincular ideas relacionadas entre ramas con relaciones tipificadas
Perspectivas : genere perspectivas automáticamente a partir de puntos clave en sus pensamientos
Seguimiento de prioridades : realice un seguimiento de las prioridades de las sucursales en función de la confianza y las conexiones
Related MCP server: UltraThink
Comandos
list: Muestra todas las sucursales con su estado actualfocus [branchId]: Cambia el foco a una rama específicahistory [branchId?]: Muestra el historial de pensamientos en una rama
Instalación
Coloque este proyecto en su directorio de herramientas MCP personalizado.
npm install
npm run build Añade a tu claude_desktop_config.json :
"branch-thinking": {
"command": "node",
"args": [
"/your-custom-mcp-dir-here/branch-thinking/dist/index.js"
]
}Consejos
Claude a menudo no utiliza herramientas a menos que se le solicite explícitamente que lo haga.
Si desea utilizar esta herramienta sin que se le solicite, agregue a la configuración de su perfil de Claude (o a un aviso del sistema) algo como esto:
Si te pido que "pienses paso a paso", "piensas antes de responder" o "usas la cadena de pensamiento", eso significa usar la herramienta de pensamiento ramificado. No dudes en usarla por tu cuenta si crees que tu respuesta se beneficiaría de varios pasos.
Créditos
No puedo fingir que escribí la mayor parte de este código. La mayor parte fue generada por Claude. El concepto fue mío, al igual que las pruebas, las correcciones y la implementación.
Available Tools
1 toolbranch-thinkingC
A tool for managing multiple branches of thought with insights and cross-references.
Each thought can:
Belong to a specific branch
Generate insights
Create cross-references to other branches
Include confidence scores and key points
The system tracks:
Branch priorities and states
Relationships between thoughts
Accumulated insights
Cross-branch connections
Commands:
list: Show all branches and their status
focus [branchId]: Switch focus to a specific branch
history [branchId?]: Show the history of thoughts in a branch (uses active branch if none specified)
| Name | Required | Description | Default |
|---|---|---|---|
| branchId | No | Optional: ID of the branch (generated if not provided) | |
| command | No | Optional: Navigation command | |
| confidence | No | Optional: Confidence score (0-1) | |
| content | No | The thought content | |
| crossRefs | No | Optional: Cross-references to other branches | |
| keyPoints | No | Optional: Key points identified in the thought | |
| parentBranchId | No | Optional: ID of the parent branch | |
| relatedInsights | No | Optional: IDs of related insights | |
| type | No | Type of thought (e.g., 'analysis', 'hypothesis', 'observation') |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It describes system tracking (priorities, states, relationships) and thought capabilities (insights, cross-references), but it fails to disclose critical behavioral traits such as whether operations are read-only or destructive, authentication needs, rate limits, or how data is persisted. This leaves significant gaps for an agent to understand the tool's behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is appropriately sized and front-loaded with a purpose statement, followed by bullet points and commands. Each sentence earns its place by detailing capabilities and usage, though it could be slightly more streamlined by integrating the commands into the flow rather than as a separate section.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity (9 parameters, nested objects, no output schema) and lack of annotations, the description is incomplete. It covers basic functionality but misses critical context like return values, error handling, or operational constraints, making it inadequate for an agent to fully understand how to invoke and interpret results from this tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema already documents all 9 parameters thoroughly. The description adds no specific parameter semantics beyond what the schema provides, such as explaining how 'confidence' scores affect operations or the meaning of 'crossRefs' in practice. Baseline 3 is appropriate as the schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states the tool is for 'managing multiple branches of thought with insights and cross-references,' which gives a general purpose but lacks a specific verb and resource. It doesn't distinguish from siblings (none provided), but the purpose remains somewhat vague without concrete examples of what 'managing' entails beyond the listed commands.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage through the 'Commands' section (list, focus, history), suggesting when to use these specific actions, but it lacks explicit guidance on when to use this tool overall versus alternatives (none provided) or any exclusions. The context is implied rather than clearly stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
v1.0.0- First observed
branch-thinking
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool 'branch-thinking' has a clear and distinct purpose for managing thought branches, making disambiguation perfect.
Since there is only one tool, naming consistency is inherently perfect. The tool name 'branch-thinking' follows a clear noun-based pattern, and there are no other tools to cause inconsistency.
A single tool is too few for the apparent scope of managing multiple branches of thought with features like listing, focusing, and showing history. This server likely needs additional tools (e.g., for creating branches, adding thoughts, or deleting branches) to be well-scoped, making the count inappropriate.
The tool surface is severely incomplete for the domain of thought management. While the tool handles listing, focusing, and history, there are significant gaps such as creating or deleting branches, adding or modifying thoughts, and managing insights or cross-references directly, which will cause agent failures in comprehensive workflows.
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