ASTGL Knowledge

An MCP server that lets AI assistants search and cite content from As The Geek Learns — covering MCP servers, local AI, AI automation, and ASTGL project documentation.

When an AI assistant connects to this server, it gains access to 49 indexed entries (articles, tutorials, comparisons, guides, and project docs). Every response includes source URLs back to astgl.ai.

Quick Start

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "astgl-knowledge": {
      "command": "npx",
      "args": ["-y", "mcp-astgl-knowledge"]
    }
  }
}

Claude Code

Add to your project's .mcp.json:

{
  "mcpServers": {
    "astgl-knowledge": {
      "command": "npx",
      "args": ["-y", "mcp-astgl-knowledge"]
    }
  }
}

Cursor / Generic MCP Client

{
  "mcpServers": {
    "astgl-knowledge": {
      "command": "npx",
      "args": ["-y", "mcp-astgl-knowledge"]
    }
  }
}

With Registration (500 queries/day)

Register via the register tool to get an API key, then add it to your config:

{
  "mcpServers": {
    "astgl-knowledge": {
      "command": "npx",
      "args": ["-y", "mcp-astgl-knowledge"],
      "env": {
        "ASTGL_API_KEY": "astgl_your_api_key_here"
      }
    }
  }
}

Tools

search_articles

Search the knowledge base by query. Returns ranked results with relevance scores and source URLs.

Parameter	Type	Required	Description
query	string	Yes	Search query (e.g., "how to build an MCP server")
limit	number	No	Max results, 1-20 (default: 5)
content_type	string	No	Filter by type: article, tutorial, faq, comparison, guide, newsletter, project

get_answer

Get a direct answer to a specific question. Prefers FAQ entries for concise responses.

Parameter	Type	Required	Description
question	string	Yes	A specific question (e.g., "What is an MCP server?")
content_type	string	No	Filter by content type

get_tutorial

Get step-by-step instructions from tutorial and guide content.

Parameter	Type	Required	Description
query	string	Yes	What you want to learn (e.g., "setup Ollama on Mac")

compare_topics

Side-by-side comparison of two topics.

Parameter	Type	Required	Description
topic_a	string	Yes	First topic
topic_b	string	Yes	Second topic

get_latest

Get the most recently added content.

Parameter	Type	Required	Description
limit	number	No	Max results, 1-20 (default: 5)

list_topics

Browse all topics in the knowledge base with content types and section headings.

register

Register your email to unlock 500 queries/day (up from 50).

Parameter	Type	Required	Description
email	string	Yes	Your email address

Content Types

Type	Count	Description
article	29	Informational content about MCP, local AI, automation
project	9	ASTGL project documentation (KlockThingy, Revri, Cortex, etc.)
tutorial	8	Step-by-step how-to guides
comparison	2	Side-by-side topic analysis
guide	1	Comprehensive reference material
newsletter	—	Personal updates and announcements
faq	—	Primarily Q&A content

Rate Limits

Tier	Limit	How to Get
Public	50 queries/day	Default (anonymous)
Registered	500 queries/day	Use the register tool with your email

Limits reset at midnight UTC. Rate limit info is included in every response.

How It Works

The knowledge base is pre-built from ASTGL articles using semantic embeddings (nomic-embed-text, 768 dimensions). Content is chunked by section and FAQ entry, embedded, and stored in a SQLite database with sqlite-vec for vector similarity search.

End users don't need Ollama — all embeddings are pre-computed and shipped in the npm package. The only runtime requirement is Node.js.

Performance

• Typical response time: 100-500ms (embedding lookup + vector search)
• Embedding results are cached in memory (LRU, 200 entries) — repeated queries are near-instant
• Ollama calls include 10s timeout + automatic retry
• Query logging is async/batched to avoid blocking responses
• Rate limit checks are cached for 5 seconds

For Maintainers

Setup

git clone https://github.com/Jmeg8r/mcp-astgl-knowledge.git
cd mcp-astgl-knowledge
npm install

Scripts

Script	Description
npm run build	Compile TypeScript
npm run dev	Run MCP server in dev mode (tsx)
npm start	Run compiled MCP server
npm run ingest	Rebuild knowledge.db from local markdown (requires Ollama)
npm run ingest-projects	Index project docs from astgl-site projects.json
npm run discover	Poll RSS/sitemap for new content
npm run structure	Process discovered content (classify, embed, index)
npm run pipeline	Discover + structure in one step
npm run daily-report	Generate AEO analytics report
npm run alerts	Run content gap alert checks
npm run freshness	Check for stale content and ecosystem version changes
npm run citation-test	Manual AI citation testing
npm run related	Generate internal article links via vector similarity

Environment Variables

Variable	Default	Description
OLLAMA_URL	http://localhost:11434	Ollama endpoint (dev/rebuild only)
EMBED_MODEL	nomic-embed-text	Embedding model
DISCORD_WEBHOOK_URL	—	Discord webhook for reports/alerts
ASTGL_API_KEY	—	Registered tier API key
ASTGL_ARTICLES_DIR	~/Projects/astgl-site/src/content/answers	Local markdown source
ASTGL_PROJECTS_JSON	~/Projects/astgl-site/src/data/projects.json	Projects data source

Automated Jobs

Job	Schedule	Purpose
Content pipeline	Every 6h	Discover + structure new content
Daily report	8 AM	Query analytics + health metrics → Discord
Content alerts	9 AM	Gap detection, zero-citation, competitor scan → Discord
Freshness check	10 AM	Stale content + ecosystem version tracking → Discord

License

MIT