MCP-сервер ToolFront (доступ к базам данных).
Website: https://statespace.com
Search Markdown and .txt pages from llms.txt sites. Available as a CLI, SDK, MCP server, and agent skill.
npm install @statespace-tech/statespace
Plain queries search across all sites:
mcp server setup
vector database embeddings
rate limiting middleware
oauth2 token refresh
websocket reconnection strategy
Scope a query to a specific site with site: query:
stripe: webhook verification
supabase: edge functions auth
vercel: edge middleware caching
mistral.ai: function calling # match by domain
docs.aws.amazon.com: s3 presigned urls # match by subdomain
Use quotes for exact phrase matching:
"context window limit"
vector database "semantic search"
stripe: "webhook signature verification"
Search documentation from the command line: npx @statespace-tech/statespace search <query> [options]
npx @statespace-tech/statespace search "mcp server setup"
npx @statespace-tech/statespace search "stripe: webhook verification" --limit 5
npx @statespace-tech/statespace search "redis connection pooling" --limit 10 --offset 3
npx @statespace-tech/statespace search "anthropic: tool function calling" --limit 5 --human
| Flag | Short | Default | Max | Description |
|---|---|---|---|---|
--limit <n> | -l | 10 | 50 | Max results to return |
--offset <n> | -o | 0 | — | Results to skip (for pagination) |
--human | — | — | — | Human-readable output instead of JSON |
Import and call search() directly from TypeScript or JavaScript.
import { search } from '@statespace-tech/statespace';
const results = await search("mcp server setup");
const results = await search("stripe: webhook verification", { limit: 5 });
const results = await search("redis connection pooling", { limit: 10, offset: 3 });
Add to your MCP config to expose a search tool to your agents:
{
"mcpServers": {
"statespace": {
"command": "npx",
"args": ["@statespace-tech/statespace", "mcp"]
}
}
}
See SKILL.md
Node.js 18+
MIT