Todoist MCP Server
Servidor MCP de Todoist
Una implementación de servidor MCP (Protocolo de Contexto de Modelo) que integra Claude con Todoist, lo que permite la gestión de tareas en lenguaje natural. Este servidor permite a Claude interactuar con tus tareas de Todoist con lenguaje cotidiano.
Características
Gestión de tareas en lenguaje natural : cree, actualice, complete y elimine tareas utilizando lenguaje cotidiano
Búsqueda inteligente de tareas : encuentre tareas usando coincidencias de nombres parciales
Filtrado flexible : filtre tareas por fecha de vencimiento, prioridad y otros atributos
Detalles de tareas enriquecidos : soporte para descripciones, fechas de vencimiento y niveles de prioridad
Manejo intuitivo de errores : comentarios claros para una mejor experiencia del usuario
Related MCP server: Enhanced Todoist MCP Server Extended
Instalación
Instalación mediante herrería
Para instalar Todoist MCP Server para Claude Desktop automáticamente a través de Smithery :
npx -y @smithery/cli install @abhiz123/todoist-mcp-server --client claudeInstalación manual
npm install -g @abhiz123/todoist-mcp-serverHerramientas
todoist_crear_tarea
Crea nuevas tareas con varios atributos:
Requerido: contenido (título de la tarea)
Opcional: descripción, fecha de vencimiento, nivel de prioridad (1-4)
Ejemplo: "Crear tarea 'Reunión de equipo' con descripción 'Sincronización semanal' con vencimiento mañana"
todoist_obtener_tareas
Recuperar y filtrar tareas:
Filtrar por fecha de vencimiento, prioridad o proyecto
Filtrado de fechas en lenguaje natural
Límite de resultados opcional
Ejemplo: "Mostrar tareas de alta prioridad con vencimiento esta semana"
tarea_de_actualización_de_todoist
Actualizar tareas existentes mediante la búsqueda en lenguaje natural:
Buscar tareas por coincidencia parcial de nombre
Actualizar cualquier atributo de la tarea (contenido, descripción, fecha de vencimiento, prioridad)
Ejemplo: "Actualizar la tarea de la reunión que vence el próximo lunes"
tarea_completa_de_todoist
Marcar tareas como completadas mediante la búsqueda en lenguaje natural:
Buscar tareas por coincidencia parcial de nombre
Confirmar el estado de finalización
Ejemplo: "Marcar la tarea de documentación como completada"
todoist_eliminar_tarea
Eliminar tareas mediante la búsqueda en lenguaje natural:
Buscar y eliminar tareas por nombre
Mensajes de confirmación
Ejemplo: "Eliminar la tarea de revisión de relaciones públicas"
Configuración
Obtener un token de API de Todoist
Inicia sesión en tu cuenta de Todoist
Vaya a Configuración → Integraciones
Encuentra tu token de API en "Desarrollador"
Uso con Claude Desktop
Añade a tu claude_desktop_config.json :
{
"mcpServers": {
"todoist": {
"command": "npx",
"args": ["-y", "@abhiz123/todoist-mcp-server"],
"env": {
"TODOIST_API_TOKEN": "your_api_token_here"
}
}
}
}Ejemplo de uso
Creación de tareas
"Create task 'Team Meeting'"
"Add task 'Review PR' due tomorrow at 2pm"
"Create high priority task 'Fix bug' with description 'Critical performance issue'"Obtener tareas
"Show all my tasks"
"List tasks due today"
"Get high priority tasks"
"Show tasks due this week"Actualización de tareas
"Update documentation task to be due next week"
"Change priority of bug fix task to urgent"
"Add description to team meeting task"Completar tareas
"Mark the PR review task as complete"
"Complete the documentation task"Eliminar tareas
"Delete the PR review task"
"Remove meeting prep task"Desarrollo
Construyendo desde la fuente
# Clone the repository
git clone https://github.com/abhiz123/todoist-mcp-server.git
# Navigate to directory
cd todoist-mcp-server
# Install dependencies
npm install
# Build the project
npm run buildContribuyendo
¡Agradecemos sus contribuciones! No dude en enviar una solicitud de incorporación de cambios.
Licencia
Este proyecto está licenciado bajo la licencia MIT: consulte el archivo de LICENCIA para obtener más detalles.
Problemas y soporte
Si encuentra algún problema o necesita ayuda, informe un problema en el repositorio de GitHub .
Available Tools
5 toolstodoist_complete_taskB
Mark a task as complete by searching for it by name
| Name | Required | Description | Default |
|---|---|---|---|
| task_name | Yes | Name/content of the task to search for and complete |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose behavior. It mentions it searches by name and marks complete, but omits important details: what happens if no task is found, if multiple tasks match, whether the action is reversible, or any authentication/permission requirements. The mutation and side effects are under-described.
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 a single sentence that concisely conveys the purpose. It is front-loaded with the verb 'Mark'. However, it could be slightly more structured by separating the searching and completion steps.
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 simplicity of the tool (one param, no output schema, no nested objects), the description is adequate for understanding the core functionality. It does not explain return values, but that is acceptable without an output schema.
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?
The input schema has 100% description coverage for the single parameter 'task_name'. The description adds 'search for and complete' which is already implied by the schema description. No additional semantic meaning beyond the schema.
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 action: 'Mark a task as complete', specifying the resource (task) and the operation (complete). It distinguishes from sibling tools like create, delete, get, update by focusing on completion, but the phrase 'searching for it by name' adds a minor nuance that could imply searching behavior beyond completion.
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 when to use the tool (when you want to complete a task by name) but does not provide explicit guidance on when not to use it or mention alternatives. For example, it doesn't clarify if this is preferred over updating the task's status via 'todoist_update_task'.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
todoist_create_taskB
Create a new task in Todoist with optional description, due date, and priority
| Name | Required | Description | Default |
|---|---|---|---|
| content | Yes | The content/title of the task | |
| priority | No | Task priority from 1 (normal) to 4 (urgent) (optional) | |
| due_string | No | Natural language due date like 'tomorrow', 'next Monday', 'Jan 23' (optional) | |
| description | No | Detailed description of the task (optional) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description bears full responsibility. It lacks disclosure of side effects, return values, or error conditions. Only states basic creation with optional fields.
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?
Single sentence, 15 words, no redundancy. Core action and resource are front-loaded. Every word adds value, and the structure is efficient.
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 (4 parameters, no output schema, no annotations), the description lacks completeness. It does not mention what the tool returns on success, error handling, or prerequisites for use.
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 baseline is 3. The description adds minimal value by restating that fields are optional, which is already clear from the schema. No additional semantics beyond what the schema provides.
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 specifies the action 'Create' and the resource 'task in Todoist', and lists optional fields. It distinguishes the tool from siblings like update, delete, complete, and get by focusing on creation.
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?
No guidance on when to use this tool versus alternatives. No prerequisites or context provided, leaving the agent to infer based solely on the tool name and sibling list.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
todoist_delete_taskB
Delete a task from Todoist by searching for it by name
| Name | Required | Description | Default |
|---|---|---|---|
| task_name | Yes | Name/content of the task to search for and delete |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must fully disclose behavior. It states the tool searches by name and deletes, but fails to clarify behavior for ambiguous names (e.g., multiple matches), required authentication, side effects, or success/failure responses.
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 a single, clear sentence with no unnecessary words. It is efficient, though it could be slightly more precise by specifying what happens with multiple matches or the return type.
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?
For a simple one-parameter delete tool, the description covers the basic action. However, it lacks details on return values, error handling, and differentiation from sibling tools, which an agent would need for robust invocation.
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?
Although the schema already describes the 'task_name' parameter, the description adds value by indicating that the tool performs a search by name before deletion, which is not explicit in the schema. This helps the agent understand the lookup behavior.
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 action ('delete'), the resource ('task from Todoist'), and the specific method ('by searching for it by name'). It distinguishes from sibling tools like todoist_complete_task and todoist_update_task by focusing on deletion.
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?
No guidance is provided on when to use this tool versus alternatives (e.g., todoist_complete_task for marking done, todoist_update_task for editing). No prerequisites, edge cases, or contexts are mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
todoist_get_tasksA
Get a list of tasks from Todoist with various filters
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Maximum number of tasks to return (optional) | |
| filter | No | Natural language filter like 'today', 'tomorrow', 'next week', 'priority 1', 'overdue' (optional) | |
| priority | No | Filter by priority level (1-4) (optional) | |
| project_id | No | Filter tasks by project ID (optional) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations; description only mentions filters without disclosing read-only nature, pagination, or response structure.
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?
Single, concise sentence with no extraneous information.
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?
While schema covers parameters, missing output schema and no mention of pagination or error handling leaves gaps for a retrieval 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 provides 100% coverage with descriptions; the tool description adds negligible value over the schema.
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 retrieves a list of tasks with filters, distinct from CRUD siblings.
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?
Implied retrieval usage but no explicit when-to-use or when-not-to-use guidance compared to siblings.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
todoist_update_taskB
Update an existing task in Todoist by searching for it by name and then updating it
| Name | Required | Description | Default |
|---|---|---|---|
| content | No | New content/title for the task (optional) | |
| priority | No | New priority level from 1 (normal) to 4 (urgent) (optional) | |
| task_name | Yes | Name/content of the task to search for and update | |
| due_string | No | New due date in natural language like 'tomorrow', 'next Monday' (optional) | |
| description | No | New description for the task (optional) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must disclose behaviors. It mentions 'search by name' but fails to explain ambiguity handling (e.g., multiple matches), partial vs full update, side effects, or authorization needs. Lacks critical behavioral context.
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?
Single sentence that is front-loaded with the primary action. No unnecessary words, though slightly more structure could improve readability. Good conciseness overall.
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?
No output schema, so description should cover return values. It does not mention what the tool returns (e.g., updated task object, success flag). Missing details on search behavior and partial update semantics make it incomplete for a mutation 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 coverage is 100%, so baseline is 3. The description adds minimal value beyond the schema—only clarifying 'search by name' which is already implied by the task_name parameter description. No extra context for optional parameters.
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 verb 'Update', the resource 'existing task', and the method 'by searching for it by name'. It distinguishes from sibling tools like create, delete, complete, and get tasks.
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?
No explicit guidance on when to use this tool vs alternatives. There is no mention of using todoist_complete_task for completion or delete for removal, leaving the agent to infer from sibling tool names alone.
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.
5 tool updates
v1.0.1- First observed
todoist_complete_task - First observed
todoist_create_task - First observed
todoist_delete_task - First observed
todoist_get_tasks - First observed
todoist_update_task
TDQS
Scored across 5 tools
Each tool targets a distinct operation (create, read, update, delete, complete) on tasks, with no overlap. The descriptions clearly differentiate the actions.
All tools follow a consistent 'todoist_verb_task' pattern (e.g., todoist_complete_task, todoist_create_task), using snake_case and clear verbs.
With 5 tools, the set covers the essential CRUD operations plus a completion action, which is appropriate for a task management server. No excessive or missing tools.
The tools cover full CRUD (create, get, update, delete) and a common operation (complete), which is sufficient for basic task management. Minor gaps like reordering or sharing tasks are not critical.
Maintenance
Related MCP Connectors
- mcpOAuthnet.todoist
Official Todoist MCP server for AI assistants to manage tasks, projects, and workflows.
Hosted MCP server connecting claude.ai, ChatGPT and other AI apps to your own computer
Create, list, and complete todo items through MCP.
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