Power your agent
คำสั่งของผู้เผยแพร่เอง ไม่ใช่เอนด์พอยต์ของ PlugMCP
Host a copy with our keys and logs.
npx -y [email protected]Claude Code ไม่มีลิงก์ติดตั้งสำหรับคำสั่งแบบโลคัล ให้คัดลอกคำสั่งด้านล่างแล้วรันในเทอร์มินัล
claude mcp add io.github.jmeg8r-astgl-knowledge -- npx -y mcp-astgl-knowledge@1.3.1รันในเทอร์มินัล
{ "mcpServers": { "io.github.jmeg8r-astgl-knowledge": { "command": "npx", "args": [ "-y", "[email protected]" ] } }}claude_desktop_config.json
URL แบบรีโมตหรือคำสั่งบนเครื่องของคุณ? การติดตั้งสองแบบต่างกันอย่างไร
รันบน PlugMCP
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
เปิดจากผู้เผยแพร่
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 can search the indexed ASTGL entries (articles, tutorials, comparisons, guides, and project docs). Search results include source URLs back to astgl.ai.
Search and cite ASTGL articles about MCP servers, local AI, and AI automation.
Requirement: the semantic tools (
search_articles,get_answer,get_tutorial,compare_topics) embed your query at runtime with a local Ollama runningnomic-embed-text(defaulthttp://localhost:11434). The metadata tools (find_articles,list_tags,list_topics,get_latest) work without Ollama.
Add to your claude_desktop_config.json:
{
"mcpServers": {
"astgl-knowledge": {
"command": "npx",
"args": ["-y", "mcp-astgl-knowledge"]
}
}
}
Add to your project's .mcp.json:
{
"mcpServers": {
"astgl-knowledge": {
"command": "npx",
"args": ["-y", "mcp-astgl-knowledge"]
}
}
}
{
"mcpServers": {
"astgl-knowledge": {
"command": "npx",
"args": ["-y", "mcp-astgl-knowledge"]
}
}
}
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"
}
}
}
}
search_articlesSearch the knowledge base by query. Returns ranked results with relevance scores and source URLs.
get_answerGet a direct answer to a specific question. Prefers FAQ entries for concise responses.
get_tutorialGet step-by-step instructions from tutorial and guide content.
compare_topicsSide-by-side comparison of two topics.
get_latestGet the most recently added content.
list_topicsBrowse all topics in the knowledge base with content types and section headings.
registerRegister your email to unlock 500 queries/day (up from 50).
The server registers 17 tools in total. The others:
Counts change as content is added; call list_topics or list_tags for the current index.
draft and synthesis entries exist only in the maintainer database and are removed from the
published one. The content_type descriptions in the tool schemas list only the first seven types.
Limits reset at midnight UTC. Rate limit info is included in every response.
Limits and registrations are enforced by the server process itself: usage and registrations are kept in a local SQLite file (data/query-log.db next to the package, or ASTGL_QUERY_LOG_DB), and anonymous clients get a persistent ID in ~/.astgl-client-id. An ASTGL_API_KEY only counts as registered if it exists in that local registrations table.
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.
Article embeddings are pre-computed and shipped in the npm package, so you never re-index content. Your query is still embedded at runtime through Ollama for the semantic tools (see the requirement above).
The server opens data/knowledge.db when it exists (a maintainer checkout) and otherwise build/knowledge-public.db. The npm package ships only build/knowledge-public.db, which npm run build-public-db produces by physically removing every non-public row (see docs/adr/).
git clone https://github.com/Jmeg8r/mcp-astgl-knowledge.git
cd mcp-astgl-knowledge
npm install
Other maintainer scripts (draft ingest and reconcile, rewrite queue, wiki sync, backup pruning, dashboard data, MCPB bundle) are listed in package.json.
Schedules are defined in cron/*.json; the scheduled report jobs print JSON that an external scheduler picks up and delivers. Run the report scripts with --discord to post to DISCORD_WEBHOOK_URL instead. macOS launchd plists for the pipeline, draft and wiki jobs are in launchd/.
flowchart TD
Client["MCP client<br/>(Claude, Cursor, ...)"] -->|"stdio"| Server["MCP server<br/>src/index.ts (17 tools)"]
Server --> RL["Rate limit + query log<br/>data/query-log.db"]
Server --> Search["src/search.ts"]
Search -->|"embed query"| Ollama["Ollama<br/>nomic-embed-text"]
Search -->|"sqlite-vec KNN"| KDB[("knowledge.db<br/>or knowledge-public.db")]
Sources["astgl.ai RSS / sitemap<br/>+ local markdown"] -->|"discover, structure, ingest"| KDB
KDB -->|"build-public-db"| Pub[("build/knowledge-public.db<br/>(shipped in npm)")]
Jobs["Report jobs<br/>daily report, alerts, freshness"] -.->|"--discord (manual)"| Discord["Discord webhook"]
A rendered diagram is in docs/diagrams/mcp-astgl-knowledge.architecture.svg
(source: docs/diagrams/mcp-astgl-knowledge.architecture.json).
MIT
Search and cite ASTGL articles about MCP servers, local AI, and AI automation.
{ "mcpServers": { "io.github.jmeg8r-astgl-knowledge": { "command": "npx", "args": [ "-y", "[email protected]" ] } }}เครื่องมือ
ยังไม่มีรายการเครื่องมือ เซิร์ฟเวอร์แบบรีโมตจะได้รายการหลังการตรวจสอบสถานะครั้งแรก
FAQ
คัดลอกคอนฟิก stdio สำหรับ Cursor, Claude Desktop, Claude Code หรือ VS Code ได้ในหน้านี้ คอนฟิกนี้ใช้การติดตั้งของผู้เผยแพร่ ไม่ใช่พร็อกซีของ PlugMCP
ระเบียนนี้ไม่ได้ระบุตัวแปรสภาพแวดล้อมที่จำเป็น
ASTGL Knowledge ทำงานแบบโลคัลผ่าน stdio
ตรวจสอบล่าสุดเมื่อ 2026-11-09 Search and cite ASTGL articles about MCP servers, local AI, and AI automation.