MCP GitHub Issue Server
Servidor de problemas de GitHub de MCP
Un servidor MCP que permite a los LLM usar las incidencias de GitHub como tarea a completar. Este servidor permite a los LLM obtener detalles de las incidencias de GitHub y usarlos como descripciones de tareas.
Instalación
Instalación manual
npx mcp-github-issueInstalación mediante herrería
Para instalar MCP GitHub Issue Server para Claude Desktop automáticamente a través de Smithery :
npx -y @smithery/cli install mcp-github-issue --client claudeRelated MCP server: mcp-github-issues
Uso
Como servidor MCP
Añade a tu configuración de MCP:
{
"mcpServers": {
"github-issue": {
"command": "npx",
"args": ["mcp-github-issue"]
}
}
}Herramientas disponibles
obtener_tarea_de_problema
Obtiene detalles del problema de GitHub para usarlos como tarea.
Esquema de entrada:
{
"type": "object",
"properties": {
"url": {
"type": "string",
"description": "GitHub issue URL (https://github.com/owner/repo/issues/number)"
}
},
"required": ["url"]
}Ejemplo de uso:
<use_mcp_tool>
<server_name>github-issue</server_name>
<tool_name>get_issue_task</tool_name>
<arguments>
{
"url": "https://github.com/owner/repo/issues/123"
}
</arguments>
</use_mcp_tool>Formato de respuesta:
{
"task": {
"title": "Issue Title",
"description": "Issue Description/Body",
"source": "https://github.com/owner/repo/issues/123"
}
}Características
Obtiene detalles de problemas de GitHub de repositorios públicos
No se requiere autenticación para repositorios públicos
Devuelve datos de tareas estructurados, incluidos título, descripción y URL de origen.
Compatible con el Protocolo de Contexto de Modelo (MCP)
Desarrollo
# Install dependencies
npm install
# Build the project
npm run build
# Run the server locally
npm run serve
# Format code
npm run format
# Run MCP inspector
npm run inspectorLicencia
Instituto Tecnológico de Massachusetts (MIT)
Autor
Sam McLeod ( https://smcleod.net )
Available Tools
1 toolget_issue_taskC
Fetch GitHub issue details to use as a task
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | GitHub issue URL (https://github.com/owner/repo/issues/number) |
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 of behavioral disclosure. It states 'Fetch' which implies a read operation, but doesn't mention any behavioral traits like rate limits, authentication needs, error handling, or what 'as a task' entails. This leaves significant gaps in understanding 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.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that directly states the tool's purpose without unnecessary words. It's front-loaded with the core action and resource, making it easy to parse quickly.
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 has no annotations and no output schema, the description is incomplete. It doesn't explain what 'GitHub issue details' includes, how the data is returned, or what 'as a task' means operationally. For a tool with no structured support, more descriptive context is needed to be fully helpful.
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 schema description coverage is 100%, with the parameter 'url' fully documented in the schema. The description doesn't add any parameter-specific information beyond what the schema provides, such as format details or usage examples. With high schema coverage, the baseline score of 3 is appropriate.
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 ('Fetch') and resource ('GitHub issue details'), making the purpose understandable. It adds context about using the fetched data 'as a task', which provides additional intent. However, with no sibling tools, it doesn't need to differentiate from alternatives, so it doesn't reach the highest 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 provides no guidance on when to use this tool versus alternatives or any prerequisites. It mentions using the fetched details 'as a task', which hints at a potential use case but doesn't offer explicit when/when-not instructions or context for selection.
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
get_issue_task
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools, as there are no other tools to compare it against. The tool's purpose is clearly defined as fetching GitHub issue details for task usage.
The single tool name 'get_issue_task' follows a consistent verb_noun pattern, using snake_case. Since there is only one tool, naming consistency is inherently perfect with no deviations to assess.
A single tool is too few for a server named 'MCP GitHub Issue Server', as this suggests a broader scope for managing GitHub issues. Typically, such a server would include multiple tools for operations like creating, updating, listing, or closing issues, making this set feel incomplete and thin.
The tool set is severely incomplete for the apparent domain of GitHub issue management. It only provides a 'get' operation, lacking essential CRUD/lifecycle coverage such as create, update, delete, list, or search, which will likely cause agent failures in handling issue-related tasks.
Maintenance
Related MCP Connectors
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Access the GitHub API, enabling file operations, repository management, search functionality, and…
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Related MCP Servers
- FlicenseNot gradedqualityFmaintenanceEnables interaction with GitHub issues via the Model Context Protocol, allowing users to list and create issues with secure authentication.-
- AlicenseAqualityDmaintenanceEnables LLMs to list, create, and comment on GitHub issues using your own GitHub identity via stdio transport.3MIT
- AlicenseBqualityDmaintenanceIntegrates with GitHub REST API to allow LLM agents to list and create repository issues.2295 npmISC
- AlicenseNot gradedqualityDmaintenanceEnables LLM agents to search, read, and create GitHub issues and pull requests via natural language, using the GitHub API.1MIT