karandeepsingh-blog

Search and read Karandeep Singh's DevOps and AWS blog: articles and cheatsheets.

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
96%
Vollständigkeit des Schemas
77%
Qualität der Benennung
93%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
90%
Einhaltung des Protokolls
100%

Befunde (1)

  • LOWTool 'browse_by_tag' suggests web access but openWorldHint=falsein browse_by_tag

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~1,205Tokens (Tool-Definitionen)
~448 BTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (0.94% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

{
  "mcpServers": {
    "karandeepsingh-blog": {
      "url": "https://karandeepsingh.ca/mcp"
    }
  }
}

Remote-Endpunkte

https://karandeepsingh.ca/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (11)

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🟢search_posts(query, limit, section)

Search Karandeep Singh's blog (DevOps/AWS articles and cheatsheets). Returns ranked cards with title, URL, tags, date, reading time, and summary.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Search terms, e.g. 'aurora failover' or 'lambda cold start'."
    },
    "limit": {
      "type": "number",
      "description": "Max results (default 8, cap 20)."
    },
    "section": {
      "type": "string",
      "enum": [
        "posts",
        "cheatsheets"
      ],
      "description": "Optional: restrict to 'posts' or 'cheatsheets'."
    }
  },
  "required": [
    "query"
  ]
}
🟢read_post(url, offset)

Read a post's full text by URL, paginated. Returns a window of characters; call again with the returned next offset to continue.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "description": "Post URL or path, e.g. /posts/aurora-postgresql-setup-guide/."
    },
    "offset": {
      "type": "number",
      "description": "Character offset to start from (default 0)."
    }
  },
  "required": [
    "url"
  ]
}
🟢list_recent(limit)

List the most recently published posts.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "limit": {
      "type": "number",
      "description": "Default 8, cap 20."
    }
  }
}
🟢browse_by_tag(tag, limit)

List posts with a given tag (e.g. aws, lambda, cost, aurora). Use list_topics to see all tags.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "tag": {
      "type": "string",
      "description": "A tag name."
    },
    "limit": {
      "type": "number"
    }
  },
  "required": [
    "tag"
  ]
}
🟢list_topics

List every tag on the blog with a post count, for discovering what's covered.

Eingabe-Schema

{
  "type": "object",
  "properties": {}
}
🟢related_posts(url, limit)

Given a post URL, find other posts that share the most tags with it.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "description": "Post URL or path."
    },
    "limit": {
      "type": "number"
    }
  },
  "required": [
    "url"
  ]
}
🟢random_post

Return a random post from the blog — a surprise pick.

Eingabe-Schema

{
  "type": "object",
  "properties": {}
}
🟢get_cheatsheet(topic)

Jump straight to a cheatsheet by topic (docker, cloudformation, cost, aurora, kubernetes, …) and get its full text.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "topic": {
      "type": "string",
      "description": "Cheatsheet topic or name."
    }
  },
  "required": [
    "topic"
  ]
}
🟢list_cheatsheets

List all cheatsheets (quick-reference guides) on the blog.

Eingabe-Schema

{
  "type": "object",
  "properties": {}
}
🟢quiz_me(topic, count)

Test the user's knowledge with real multiple-choice questions written for the blog's articles. Returns questions, options, and an answers section with explanations. Ask the questions first, then reveal the answers.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "topic": {
      "type": "string",
      "description": "Topic to be quizzed on, e.g. aurora, lambda, docker. Omit for a random quiz."
    },
    "count": {
      "type": "number",
      "description": "How many questions (default 3, max 10)."
    }
  }
}
🟢get_commands(topic, limit)

Return just the runnable commands and code blocks from the best-matching article or cheatsheet — no prose. Use when the user wants the command, not the explanation.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "topic": {
      "type": "string",
      "description": "Topic or tool, e.g. docker, kubectl, terraform, psql."
    },
    "limit": {
      "type": "number",
      "description": "Max code blocks to return (default 6, max 12)."
    }
  },
  "required": [
    "topic"
  ]
}

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