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kelvin6365

Plane MCP Server

by kelvin6365
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JavaScript
Remote

Servidor MCP de avión

insignia de herrería

Un servidor de Protocolo de Contexto de Modelo (MCP) que permite a los LLM interactuar con Plane.so , lo que les permite gestionar proyectos e incidencias mediante la API de Plane. Con este servidor, LLM como Claude pueden interactuar directamente con sus flujos de trabajo de gestión de proyectos, manteniendo el control y la seguridad de los usuarios.

Características

  • Enumere todos los proyectos en su espacio de trabajo de Plane

  • Obtenga información detallada sobre proyectos específicos

  • Crea nuevos problemas con propiedades personalizables

  • Enumerar y filtrar problemas de los proyectos

  • Obtenga información detallada sobre temas específicos

  • Actualizar los problemas existentes con nueva información

Related MCP server: Plane MCP Server

Prerrequisitos

  • Node.js 22.x o superior

  • Una clave API de Plane.so

  • Un espacio de trabajo de Plane.so

Instalación

Opción 1: Uso de herrería

La forma más rápida de comenzar es usar Smithery para instalar el servidor directamente:

# Install to Claude for Desktop
npx -y @smithery/cli install @kelvin6365/plane-mcp-server --client claude

Este comando configurará automáticamente el servidor MCP de Plane para su uso con Claude. Tras la instalación, deberá configurar el servidor con su clave API de Plane y el slug del espacio de trabajo a través de la configuración de Claude.

Las opciones de cliente válidas son: claude, cline, windsurf, roo-cline, witsy, enconvo, cursor

Ejemplo de instalación con Cursor:

npx -y @smithery/cli install @kelvin6365/plane-mcp-server --client cursor

Opción 2: Configuración manual

Si prefiere configurar el servidor manualmente, siga estos pasos:

  1. Clonar este repositorio:

git clone https://github.com/kelvin6365/plane-mcp-server.git
cd plane-mcp-server

  1. Instalar dependencias:

npm install

  1. Construir el servidor:

npm run build

Uso con Claude para escritorio

Nota: Si usó la Opción 1 (Smithery) mencionada anteriormente, puede omitir esta sección. Smithery configura automáticamente el servidor MCP.

  1. Abra el archivo de configuración de Claude for Desktop:

    • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

    • Ventanas: %APPDATA%\Claude\claude_desktop_config.json

  2. Agregue la configuración del servidor Plane MCP:

{
  "mcpServers": {
    "plane": {
      "command": "node",
      "args": ["path/to/plane-mcp-server/build/index.js"],
      "env": {
        "PLANE_API_KEY": "your_plane_api_key_here",
        "PLANE_WORKSPACE_SLUG": "your_workspace_slug_here"
      }
    }
  }
}

  1. Reiniciar Claude para escritorio

Herramientas disponibles

Nota: Los nombres de las herramientas usan guiones (p. ej., list-projects ), no guiones bajos. El servidor convertirá automáticamente los guiones bajos a guiones para mayor compatibilidad.

lista-proyectos

Enumera todos los proyectos en su espacio de trabajo de Plane.

Parámetros: Ninguno

Ejemplo:

{}

obtener-proyecto

Obtiene información detallada sobre un proyecto específico.

Parámetros:

  • project_id : ID del proyecto a recuperar

Ejemplo:

{
  "project_id": "01abc123-4567-89de-0123-456789abcdef"
}

crear problema

Crea un nuevo problema en un proyecto específico.

Parámetros:

  • project_id : ID del proyecto donde se debe crear el problema

  • name : Título del número

  • description_html : Descripción HTML del problema (requerida por la API de Plane)

  • priority (opcional): Prioridad del asunto ("urgente", "alta", "media", "baja", "ninguna")

  • state_id (opcional): ID del estado para este problema

  • assignees (opcional): Matriz de ID de usuarios para asignar a este problema

Nota: El parámetro assignees debe ser una matriz de cadenas de ID de usuario. Errores comunes incluyen proporcionar un diccionario/objeto en lugar de una matriz, o anidar accidentalmente todos los datos del problema dentro del campo "assignees". El servidor intentará gestionar estos casos, pero se recomienda usar el formato correcto.

Ejemplo:

{
  "project_id": "01abc123-4567-89de-0123-456789abcdef",
  "name": "Implement new feature",
  "description_html": "<p>We need to implement the new reporting feature</p>",
  "priority": "high",
  "assignees": ["user-id-1", "user-id-2"]
}

problemas de lista

Enumera los problemas de un proyecto específico con filtrado opcional.

Parámetros:

  • project_id : ID del proyecto del cual se obtendrán los problemas

  • state_id (opcional): Filtrar por ID de estado

  • priority (opcional): Filtrar por prioridad

  • assignee_id (opcional): Filtrar por ID de cesionario

  • limit (opcional): número máximo de números a devolver (predeterminado: 50)

Ejemplo:

{
  "project_id": "01abc123-4567-89de-0123-456789abcdef",
  "priority": "high",
  "limit": 10
}

obtener problema

Obtiene información detallada sobre un problema específico.

Parámetros:

  • project_id : ID del proyecto que contiene el problema

  • issue_id : ID del problema a recuperar

Ejemplo:

{
  "project_id": "01abc123-4567-89de-0123-456789abcdef",
  "issue_id": "01def456-7890-12gh-3456-789ijklmnopq"
}

problema de actualización

Actualiza un problema existente en un proyecto.

Parámetros:

  • project_id : ID del proyecto que contiene el problema

  • issue_id : ID del problema a actualizar

  • name (opcional): Título actualizado del problema

  • description_html (opcional): descripción HTML del problema (requerida por la API de Plane)

  • priority (opcional): Prioridad actualizada del problema

  • state_id (opcional): ID de estado actualizado del problema

  • assignees (opcional): matriz actualizada de identificaciones de usuarios para asignar a este problema

Nota: El parámetro assignees debe ser una matriz de cadenas de identificación de usuario, siguiendo las mismas pautas de formato que la herramienta de creación de problemas.

Ejemplo:

{
  "project_id": "01abc123-4567-89de-0123-456789abcdef",
  "issue_id": "01def456-7890-12gh-3456-789ijklmnopq",
  "priority": "urgent",
  "description_html": "<p>Updated description with <strong>more details</strong></p>"
}

Desarrollo

  1. Instalar dependencias de desarrollo:

npm install --save-dev typescript @types/node

  1. Inicie el servidor en modo de desarrollo:

npm run dev

Pruebas

Puede probar el servidor utilizando el Inspector MCP:

npx @modelcontextprotocol/inspector node dist/index.js

Ejemplos

A continuación se muestran algunos ejemplos de interacciones que puedes probar con Claude después de configurar el servidor Plane MCP:

  1. "¿Puedes enumerar todos los proyectos en mi espacio de trabajo de Plane?"

  2. Por favor, cree un nuevo problema de alta prioridad en el proyecto de Marketing titulado "Actualizar la estrategia de redes sociales".

  3. "¿Cuáles son todos los temas de alta prioridad en el proyecto de desarrollo?"

  4. Se actualizó el problema n.° 123 del proyecto de control de calidad para cambiar su prioridad a urgente.

Claude utilizará las herramientas adecuadas para interactuar con Plane y solicitará su aprobación antes de crear o modificar cualquier problema.

Consideraciones de seguridad

  • La clave API requiere permisos de avión adecuados para funcionar

  • Todas las operaciones que modifican datos requieren la aprobación explícita del usuario

  • Las variables de entorno deben estar protegidas adecuadamente

  • Las claves API nunca deben comprometerse con el control de versiones

Contribuyendo

  1. Bifurcar el repositorio

  2. Crea tu rama de funciones ( git checkout -b feature/amazing-feature )

  3. Confirme sus cambios ( git commit -m 'Add some amazing feature' )

  4. Empujar a la rama ( git push origin feature/amazing-feature )

  5. Abrir una solicitud de extracción

Licencia

Este proyecto está licenciado bajo la licencia MIT: consulte el archivo de LICENCIA para obtener más detalles.

Apoyo

Si encuentra algún problema o tiene preguntas:

  1. Consulta la sección de problemas de GitHub

  2. Consulte la documentación de MCP en modelcontextprotocol.io

  3. Abrir una nueva emisión con pasos de reproducción detallados

Historia de las estrellas

Gráfico de la historia de las estrellas

Available Tools

6 tools
create-issueC

Create a new issue in a project

ParametersJSON Schema
NameRequiredDescriptionDefault
project_idYesID of the project where the issue should be created
nameYesTitle of the issue
description_htmlNoHTML description of the issue (required by Plane API)
priorityNoPriority of the issue (urgent, high, medium, low, none)
state_idNoID of the state for this issue (optional)
assigneesNoArray of user IDs to assign to this issue (optional)

TDQS

C2.9/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full burden for behavioral disclosure. It states 'Create' which implies a write operation, but doesn't mention permissions, side effects, error handling, or response format. This is inadequate for a mutation tool with zero annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with no wasted words. It's appropriately sized and front-loaded with the core action, making it easy to parse quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a creation tool with 6 parameters, no annotations, and no output schema, the description is insufficient. It doesn't explain what happens after creation, error conditions, or provide enough context for safe usage despite the comprehensive schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema fully documents all 6 parameters. The description adds no additional parameter information beyond what's in the schema, maintaining the baseline score for high schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('Create') and resource ('new issue in a project'), making the purpose unambiguous. However, it doesn't differentiate from sibling tools like 'update-issue' or specify what distinguishes creation from other operations.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives like 'update-issue' or 'list-issues', nor does it mention prerequisites or context for creation. It's a basic statement without usage context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

get-issueC

Get detailed information about a specific issue

ParametersJSON Schema
NameRequiredDescriptionDefault
project_idYesID of the project containing the issue
issue_idYesID of the issue to retrieve

TDQS

C2.9/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It states 'Get detailed information,' implying a read-only operation, but does not disclose behavioral traits such as authentication needs, rate limits, error conditions, or what 'detailed information' includes (e.g., fields, format). This is inadequate for a tool with no annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with no wasted words. It is front-loaded with the core purpose, making it easy to parse quickly, though it lacks depth due to its brevity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no annotations and no output schema, the description is incomplete. It does not explain what 'detailed information' entails, potential return values, or error handling. For a read operation with rich sibling tools, more context is needed to guide the agent effectively.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, with clear descriptions for 'project_id' and 'issue_id' in the input schema. The description adds no additional meaning beyond the schema, such as parameter interactions or examples. Baseline 3 is appropriate when the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('Get') and resource ('detailed information about a specific issue'), making the purpose understandable. However, it does not explicitly differentiate from sibling tools like 'get-intake-issue' or 'get-issue-activity', which also retrieve issue-related information, leaving some ambiguity about scope.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. With many sibling tools like 'list-issues' for multiple issues or 'get-intake-issue' for specific types, there is no indication of context, prerequisites, or exclusions, leaving the agent to infer usage.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

get-projectB

Get detailed information about a specific project

ParametersJSON Schema
NameRequiredDescriptionDefault
project_idYesID of the project to retrieve

TDQS

B3.3/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations supplied, the description carries the full burden of behavioral disclosure. It only states 'Get detailed information,' omitting any details about authentication, rate limits, or what 'detailed' encompasses. For a read operation, it is minimally transparent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, clear sentence with no extraneous words. It is front-loaded and efficient, earning its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple get operation with one parameter and no output schema, the description is adequate but lacks context about the return format or any prerequisites. It does not fully compensate for the absence of annotations or additional behavioral notes.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, and the parameter 'project_id' is adequately described in the schema as 'ID of the project to retrieve.' The description adds no extra meaning beyond that, meeting the baseline for parameter semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool retrieves detailed information about a specific project, using a specific verb+resource structure. It successfully distinguishes from sibling tools like create-project, delete-project, and get-issue.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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 such as list-projects or get-issue. There are no exclusions, prerequisites, or context for appropriate use.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

list-issuesC

List issues from a project

ParametersJSON Schema
NameRequiredDescriptionDefault
project_idYesID of the project to get issues from
state_idNoFilter by state ID (optional)
priorityNoFilter by priority (optional)
assignee_idNoFilter by assignee ID (optional)
limitNoMaximum number of issues to return (default: 50)

TDQS

C2.7/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It states 'List issues' but doesn't disclose behavioral traits like pagination (implied by 'limit'), default sorting, rate limits, authentication needs, or error handling. This leaves significant gaps for an agent to understand how the tool behaves.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with zero waste. It's front-loaded and appropriately sized for a basic listing tool, making it easy to parse quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no annotations and no output schema, the description is incomplete. It doesn't explain return values (e.g., issue format), pagination behavior, or error cases. For a tool with 5 parameters and no structured behavioral hints, this leaves the agent under-informed about critical usage aspects.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema fully documents all 5 parameters. The description adds no meaning beyond the schema, such as explaining how filters combine or the format of returned issues. Baseline 3 is appropriate since the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'List issues from a project' clearly states the verb ('List') and resource ('issues'), but it's vague about scope (e.g., all issues vs. filtered) and doesn't distinguish from siblings like 'get-issue' (single issue) or 'list-projects' (different resource). It's functional but lacks specificity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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. For example, it doesn't mention using 'get-issue' for a single issue or 'list-projects' to find project IDs first. The description implies usage for listing issues but offers no context on prerequisites or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

list-projectsA

List all projects in the workspace

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

TDQS

A3.8/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description should fully describe behavior. It is minimal, only stating a read operation. It lacks details on pagination, ordering, or whether results are comprehensive.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise at 5 words, with no filler. Every word is informative and necessary.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a no-parameter list tool, the description is mostly complete. It specifies workspace scope, but could mention if results are limited or paginated. Still adequate for the simplicity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has no parameters, so schema coverage is 100%. The description does not need to add parameter details, and it appropriately avoids extraneous information.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action (List), the resource (projects), and the scope (in the workspace). It effectively distinguishes from sibling tools like get-project (single project) and create-project.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

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 versus alternatives like get-project. Usage is implied but not clarified with when-not or specific contexts.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

update-issueC

Update an existing issue in a project, delete just update the issue title with 'delete' or 'remove'

ParametersJSON Schema
NameRequiredDescriptionDefault
project_idYesID of the project containing the issue
issue_idYesID of the issue to update
nameNoUpdated title of the issue (optional)
description_htmlNoHTML description of the issue (required by Plane API)
priorityNoUpdated priority of the issue (optional)
state_idNoUpdated state ID of the issue (optional)
assigneesNoUpdated array of user IDs to assign to this issue (optional)

TDQS

C2.8/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full burden but is inadequate. It mentions updating and a deletion method, but doesn't disclose critical behavioral traits like required permissions, whether updates are reversible, rate limits, or what happens to unspecified fields. The deletion note is vague and doesn't explain if it's a standard feature or workaround.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise with two clauses, but the second clause about deletion is poorly integrated and confusing, reducing clarity. It's front-loaded with the main purpose but the additional note doesn't earn its place effectively, making the structure somewhat disjointed.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity of a mutation tool with 7 parameters, no annotations, and no output schema, the description is incomplete. It lacks details on behavior, error handling, return values, and how it differs from siblings. The deletion note adds confusion rather than completeness, failing to provide adequate context for safe and effective use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema fully documents all 7 parameters. The description adds no meaningful parameter semantics beyond what's in the schema, such as explaining interactions between fields or special cases. It mentions 'delete' or 'remove' for the title but doesn't tie this to the 'name' parameter clearly.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('Update') and resource ('existing issue in a project'), making the purpose understandable. However, it doesn't explicitly differentiate from sibling tools like 'create-issue' or 'get-issue' beyond the update action, and the second part about deleting with 'delete' or 'remove' is confusing rather than clarifying.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives like 'create-issue' or 'get-issue'. It mentions a deletion method but doesn't clarify if this is the primary deletion mechanism or when to use it over other tools, offering minimal usage context.

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. 6 tool updates
    • First observedcreate-issue
    • First observedget-issue
    • First observedget-project
    • First observedlist-issues
    • First observedlist-projects
    • First observedupdate-issue
Deploy Server
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TDQS

B3.4/5.0

Scored across 6 tools

Disambiguation5/5

Each tool has a clearly distinct purpose with no ambiguity: create-issue, get-issue, update-issue, and list-issues handle issues, while get-project and list-projects handle projects. The descriptions reinforce this separation, making misselection unlikely.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern with hyphen separation (e.g., create-issue, list-projects). This predictable naming scheme enhances readability and usability across the tool set.

Tool Count5/5

With 6 tools, the server is well-scoped for managing issues and projects in a workspace. Each tool earns its place by covering essential CRUD operations without being overly sparse or bloated.

Completeness4/5

The tool set provides strong coverage for issues (create, get, list, update) and projects (get, list), but lacks explicit create-project, update-project, and delete operations. Agents can work around this with the update-issue workaround for deletion, but minor gaps exist.

Maintenance

ActivityInactive
ResponsivenessUnresponsive

Resources

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