developer-toolkit-mcp
The documentation, as a tool your agent can call: 950+ AI-dev guides. Search + fetch tools.
¿Debería usar esto?
Calidad y seguridad
Hallazgos (1)
- LOWTool 'fetch' suggests web access but openWorldHint=falseen fetch
Basado en el análisis automatizado de las definiciones de herramientas y el cumplimiento del protocolo.
Costo de contexto
Este es el número aproximado de tokens que se consumen cada vez que las herramientas del servidor se cargan en el contexto de un modelo. Los recuentos más altos reducen la atención disponible para otras tareas.
Instalar
Instalación con un clic
Agrega esto a tu archivo `claude_desktop_config.json`:
{
"mcpServers": {
"developer-toolkit-mcp": {
"url": "https://developertoolkit.ai/mcp"
}
}
}Puntos de conexión remotos
https://developertoolkit.ai/mcpstreamable-httpQué puede hacer
Inventario de herramientas
Herramientas (2)
🟢search(query, llm_model)
Search the AI Developer Toolkit documentation: 950+ guides on Cursor, Claude Code and OpenAI Codex, covering setup, agent workflows, hooks, MCP, testing, CI and deployment, in English and Polish. Returns at most 10 ranked results, each with a short snippet rather than the article text; an empty list means the corpus has nothing on the topic. Pass a result id to `fetch` for the full text.
Esquema de entrada
{
"type": "object",
"properties": {
"query": {
"type": "string",
"minLength": 1,
"maxLength": 1024,
"description": "Natural-language query or keywords. Polish queries return Polish articles."
},
"llm_model": {
"type": "string",
"description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess."
}
},
"required": [
"query",
"llm_model"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}Esquema de salida
{
"type": "object",
"properties": {
"results": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"title": {
"type": "string"
},
"url": {
"type": "string"
},
"snippet": {
"type": "string"
},
"lang": {
"type": "string"
}
},
"required": [
"id",
"title",
"url",
"snippet",
"lang"
],
"additionalProperties": false
}
}
},
"required": [
"results"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}🟢fetch(id, llm_model)
Retrieve the complete markdown of one documentation article by the id returned from `search` (for example `en/claude-code/advanced-techniques/hooks-automation`). The text is returned in full; `metadata.gated` only reports whether the article sits behind the paywall on the web. An unknown id is an error — call `search` first.
Esquema de entrada
{
"type": "object",
"properties": {
"id": {
"type": "string",
"minLength": 1,
"description": "Article id from a `search` result."
},
"llm_model": {
"type": "string",
"description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess."
}
},
"required": [
"id",
"llm_model"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}Esquema de salida
{
"type": "object",
"properties": {
"id": {
"type": "string"
},
"title": {
"type": "string"
},
"text": {
"type": "string"
},
"url": {
"type": "string"
},
"metadata": {
"type": "object",
"properties": {
"lang": {
"type": "string"
},
"section": {
"type": "string"
},
"lastUpdated": {
"type": "string"
},
"gated": {
"type": "boolean"
}
},
"required": [
"lang",
"section",
"lastUpdated",
"gated"
],
"additionalProperties": false
}
},
"required": [
"id",
"title",
"text",
"url",
"metadata"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}Comunidad
Evidencia