DOCS
Technical documentation for the machine-readable layer.
⚡ MCP Server
The Context Window exposes a Model Context Protocol server that lets AI agents — Claude Code, Cursor, custom agents — query our knowledge graph directly. No scraping, no HTML parsing. Structured data over JSON-RPC.
Connection
ProtocolJSON-RPC 2.0 over HTTP POST
Endpoint
/api/mcpDiscoveryGET /api/mcp returns server info + tool list
AuthNone required (public, rate-limited)
Available Tools
search_articles(query: string, limit?: number)Semantic search across all articles. Returns title, slug, TL;DR.
get_article(slug: string)Full article by slug — key claims, predictions, metadata.
get_concept(name: string)Look up an AI/tech concept — definition, related concepts.
list_topics((none))All topic clusters with descriptions and article counts.
get_predictions(status?: string)Timestamped predictions with confidence and tracking status.
Example
curl -X POST https://thecontextwindow.com/api/mcp \
-H "Content-Type: application/json" \
-d '{
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"name": "search_articles",
"arguments": { "query": "how do AI agents work" }
},
"id": 1
}'Claude Code Integration
claude mcp add tcw https://thecontextwindow.com/api/mcpAfter adding, Claude Code can search articles, look up concepts, and query predictions directly.