MCP Sequential Thinking Tools
herramientas de pensamiento secuencial mcp
Una adaptación delServidor de Pensamiento Secuencial MCP, diseñada para guiar el uso de herramientas en la resolución de problemas. Este servidor ayuda a desglosar problemas complejos en pasos manejables y ofrece recomendaciones sobre las herramientas MCP más efectivas en cada etapa.
Un servidor de Protocolo de Contexto de Modelo (MCP) que combina el pensamiento secuencial con sugerencias de herramientas inteligentes. Para cada paso del proceso de resolución de problemas, proporciona recomendaciones basadas en la confianza sobre las herramientas a utilizar, junto con la justificación de su idoneidad.
Características
🤔 Resolución dinámica y reflexiva de problemas a través de pensamientos secuenciales
🔄 Proceso de pensamiento flexible que se adapta y evoluciona
🌳 Apoyo a la ramificación y revisión de pensamientos
🛠️ Recomendaciones de herramientas inteligentes para cada paso
Puntuación de confianza para sugerencias de herramientas
🔍 Justificación detallada de las recomendaciones de herramientas
📝 Seguimiento de pasos con resultados esperados
🔄 Seguimiento del progreso con pasos anteriores y restantes
🎯 Sugerencias de herramientas alternativas para cada paso
Related MCP server: Clear Thought Server
Cómo funciona
Este servidor analiza cada paso de su proceso de pensamiento y recomienda las herramientas MCP adecuadas para ayudarle a completar la tarea. Cada recomendación incluye:
Una puntuación de confianza (0-1) que indica qué tan bien la herramienta se adapta a la necesidad actual
Una justificación clara que explique por qué la herramienta sería útil
Un nivel de prioridad para sugerir el orden de ejecución de la herramienta
Herramientas alternativas que también podrían utilizarse
El servidor funciona con cualquier herramienta MCP disponible en su entorno. Ofrece recomendaciones basadas en los requisitos del paso actual, pero la ejecución de la herramienta la gestiona el consumidor (como Claude).
Ejemplo de uso
A continuación se muestra un ejemplo de cómo el servidor guía el uso de la herramienta:
{
"thought": "Initial research step to understand what universal reactivity means in Svelte 5",
"current_step": {
"step_description": "Gather initial information about Svelte 5's universal reactivity",
"expected_outcome": "Clear understanding of universal reactivity concept",
"recommended_tools": [
{
"tool_name": "search_docs",
"confidence": 0.9,
"rationale": "Search Svelte documentation for official information",
"priority": 1
},
{
"tool_name": "tavily_search",
"confidence": 0.8,
"rationale": "Get additional context from reliable sources",
"priority": 2
}
],
"next_step_conditions": [
"Verify information accuracy",
"Look for implementation details"
]
},
"thought_number": 1,
"total_thoughts": 5,
"next_thought_needed": true
}El servidor rastrea tu progreso y admite:
Creando ramas para explorar diferentes enfoques
Revisar pensamientos previos con nueva información
Mantener el contexto a lo largo de múltiples pasos
Sugerir próximos pasos en función de los hallazgos actuales
Configuración
Este servidor requiere configuración a través de su cliente MCP. A continuación, se muestran ejemplos para diferentes entornos:
Configuración de Cline
Agregue esto a su configuración de Cline MCP:
{
"mcpServers": {
"mcp-sequentialthinking-tools": {
"command": "npx",
"args": ["-y", "mcp-sequentialthinking-tools"]
}
}
}Escritorio Claude con configuración WSL
Para entornos WSL, agregue esto a su configuración de Claude Desktop:
{
"mcpServers": {
"mcp-sequentialthinking-tools": {
"command": "wsl.exe",
"args": [
"bash",
"-c",
"source ~/.nvm/nvm.sh && /home/username/.nvm/versions/node/v20.12.1/bin/npx mcp-sequentialthinking-tools"
]
}
}
}API
El servidor implementa una única herramienta MCP con parámetros configurables:
herramientas de pensamiento secuencial
Una herramienta para la resolución dinámica y reflexiva de problemas a través del pensamiento, con recomendaciones de herramientas inteligentes.
Parámetros:
thought(cadena, obligatorio): Tu paso de pensamiento actualnext_thought_needed(booleano, obligatorio): si se necesita otro paso de pensamientothought_number(entero, obligatorio): Número de pensamiento actualtotal_thoughts(entero, obligatorio): Total estimado de pensamientos necesariosis_revision(booleano, opcional): si esto revisa el pensamiento previorevises_thought(entero, opcional): ¿Qué pensamiento se está reconsiderando?branch_from_thought(entero, opcional): Número de pensamiento del punto de ramificaciónbranch_id(cadena, opcional): identificador de ramaneeds_more_thoughts(booleano, opcional): Si se necesitan más pensamientoscurrent_step(objeto, opcional): Recomendación de paso actual con:step_description: Qué se debe hacerrecommended_tools: Matriz de recomendaciones de herramientas con puntuaciones de confianzaexpected_outcome: Qué esperar de este pasonext_step_conditions: Condiciones para el siguiente paso
previous_steps(matriz, opcional): Pasos ya recomendadosremaining_steps(matriz, opcional): descripciones de alto nivel de los próximos pasos
Desarrollo
Configuración
Clonar el repositorio
Instalar dependencias:
pnpm installConstruir el proyecto:
pnpm buildEjecutar en modo de desarrollo:
pnpm devPublicación
El proyecto utiliza conjuntos de cambios para la gestión de versiones. Para publicar:
Crear un conjunto de cambios:
pnpm changesetVersionar el paquete:
pnpm changeset versionPublicar en npm:
pnpm releaseContribuyendo
¡Agradecemos sus contribuciones! No dude en enviar una solicitud de incorporación de cambios.
Licencia
Licencia MIT: consulte el archivo LICENCIA para obtener más detalles.
Expresiones de gratitud
Construido sobre el Protocolo de Contexto Modelo
Adaptado delservidor de pensamiento secuencial MCP
Available Tools
1 toolsequentialthinking_toolsA
A detailed tool for dynamic and reflective problem-solving through thoughts. This tool helps analyze problems through a flexible thinking process that can adapt and evolve. Each thought can build on, question, or revise previous insights as understanding deepens.
IMPORTANT: When initializing this tool, you must pass all available tools that you want the sequential thinking process to be able to use. The tool will analyze these tools and provide recommendations for their use.
When to use this tool:
Breaking down complex problems into steps
Planning and design with room for revision
Analysis that might need course correction
Problems where the full scope might not be clear initially
Problems that require a multi-step solution
Tasks that need to maintain context over multiple steps
Situations where irrelevant information needs to be filtered out
When you need guidance on which tools to use and in what order
Key features:
You can adjust total_thoughts up or down as you progress
You can question or revise previous thoughts
You can add more thoughts even after reaching what seemed like the end
You can express uncertainty and explore alternative approaches
Not every thought needs to build linearly - you can branch or backtrack
Generates a solution hypothesis
Verifies the hypothesis based on the Chain of Thought steps
Recommends appropriate tools for each step
Provides rationale for tool recommendations
Suggests tool execution order and parameters
Tracks previous recommendations and remaining steps
Parameters explained:
thought: Your current thinking step, which can include:
Regular analytical steps
Revisions of previous thoughts
Questions about previous decisions
Realizations about needing more analysis
Changes in approach
Hypothesis generation
Hypothesis verification
Tool recommendations and rationale
next_thought_needed: True if you need more thinking, even if at what seemed like the end
thought_number: Current number in sequence (can go beyond initial total if needed)
total_thoughts: Current estimate of thoughts needed (can be adjusted up/down)
is_revision: A boolean indicating if this thought revises previous thinking
revises_thought: If is_revision is true, which thought number is being reconsidered
branch_from_thought: If branching, which thought number is the branching point
branch_id: Identifier for the current branch (if any)
needs_more_thoughts: If reaching end but realizing more thoughts needed
current_step: Current step recommendation, including:
step_description: What needs to be done
recommended_tools: Tools recommended for this step
expected_outcome: What to expect from this step
next_step_conditions: Conditions to consider for the next step
previous_steps: Steps already recommended
remaining_steps: High-level descriptions of upcoming steps
You should:
Start with an initial estimate of needed thoughts, but be ready to adjust
Feel free to question or revise previous thoughts
Don't hesitate to add more thoughts if needed, even at the "end"
Express uncertainty when present
Mark thoughts that revise previous thinking or branch into new paths
Ignore information that is irrelevant to the current step
Generate a solution hypothesis when appropriate
Verify the hypothesis based on the Chain of Thought steps
Consider available tools that could help with the current step
Provide clear rationale for tool recommendations
Suggest specific tool parameters when appropriate
Consider alternative tools for each step
Track progress through the recommended steps
Provide a single, ideally correct answer as the final output
Only set next_thought_needed to false when truly done and a satisfactory answer is reached
| Name | Required | Description | Default |
|---|---|---|---|
| branch_from_thought | No | Branching point thought number | |
| branch_id | No | Branch identifier | |
| current_step | No | Current step recommendation | |
| is_revision | No | Whether this revises previous thinking | |
| needs_more_thoughts | No | If more thoughts are needed | |
| next_thought_needed | Yes | Whether another thought step is needed | |
| previous_steps | No | Steps already recommended | |
| remaining_steps | No | High-level descriptions of upcoming steps | |
| revises_thought | No | Which thought is being reconsidered | |
| thought | Yes | Your current thinking step | |
| thought_number | Yes | Current thought number | |
| total_thoughts | Yes | Estimated total thoughts needed |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively describes key behavioral traits such as adaptability ('adjust total_thoughts up or down'), revision capabilities ('question or revise previous thoughts'), and process flow ('Generates a solution hypothesis,' 'Verifies the hypothesis'), though it lacks details on error handling or performance limits.
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 excessively long and repetitive, with multiple sections (e.g., 'Key features,' 'Parameters explained,' 'You should') that overlap in content. It includes unnecessary verbosity, such as listing 15 'You should' items, which reduces clarity and efficiency without adding proportional value.
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 tool's high complexity (12 parameters, nested objects) and no annotations or output schema, the description does a good job covering the tool's purpose, usage, and behavioral aspects. However, it lacks details on output format or error conditions, which are important for such a sophisticated tool, preventing a perfect score.
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 parameters thoroughly. The description adds some value by explaining the 'thought' parameter with examples (e.g., 'Regular analytical steps,' 'Hypothesis generation') and listing other parameters, but this largely repeats schema information, resulting in a baseline score.
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 clearly states the tool's purpose as 'dynamic and reflective problem-solving through thoughts' and 'analyze problems through a flexible thinking process,' which is specific and actionable. However, with no sibling tools provided, it cannot differentiate from alternatives, preventing a perfect score.
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 includes an explicit 'When to use this tool' section with 8 specific scenarios (e.g., 'Breaking down complex problems into steps,' 'Planning and design with room for revision'), providing clear guidance on when to apply this tool. No alternatives are mentioned due to no siblings, but the context is comprehensive.
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
sequentialthinking_tools
TDQS
Scored across 1 tool
There is only one tool, so there is no ambiguity or overlap with other tools. The tool has a clearly defined and distinct purpose focused on sequential thinking and problem-solving.
With only one tool, naming consistency is inherently perfect. The tool name 'sequentialthinking_tools' uses snake_case, which is consistent within itself, and there are no other tools to cause inconsistency.
The server is named 'MCP Sequential Thinking Tools' and has only one tool, which suggests a thin or incomplete surface. For a domain focused on dynamic problem-solving and tool orchestration, a single tool may not adequately cover the expected scope, such as separate tools for planning, analysis, or verification steps.
The tool aims to handle complex problem-solving, planning, and tool recommendations, but as a single tool, it likely consolidates multiple functionalities into one interface. This can lead to gaps in modularity and clarity, as agents might expect separate tools for distinct phases like hypothesis generation, verification, or step tracking, rather than a monolithic solution.
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