MCP Servers

espaciarte-mcp

Minimal MCP server exposing Espaciarte's public space discovery API to AI clients, enabling geo-search and retrieval of published space details.

README

espaciarte-mcp

Minimal MCP server exposing Espaciarte's public space discovery to external AI clients (Claude Desktop, Cursor). A thin, read-only wrapper over the backend REST API — no database access, no LLM calls, no auth, no secrets.

Tools

Tool	Wraps	Purpose
`search_spaces`	`GET /api/discovery/spaces`	Geo-search published spaces (`lat`/`lng`/`radius` + optional filters)
`get_space_details`	`GET /api/discovery/spaces/:id`	Full public detail of one published space

The backend already handles privacy (published spaces only, obfuscated locations, no PII); this server returns its responses untouched.

Setup

pnpm install
pnpm build

Requires the backend running (default http://localhost:8000 — pnpm dev in espaciarte-backend/ with the DB up).

Configuration

Single env var:

Var	Default	Purpose
`BACKEND_BASE_URL`	`http://localhost:8000`	Espaciarte backend URL

Claude Desktop (`claude_desktop_config.json`)

{
  "mcpServers": {
    "espaciarte": {
      "command": "node",
      "args": ["/Users/vicentecantu/Development/espaciarte/espaciarte-mcp/dist/index.js"],
      "env": { "BACKEND_BASE_URL": "http://localhost:8000" }
    }
  }
}

Cursor (`~/.cursor/mcp.json` or `.cursor/mcp.json`)

{
  "mcpServers": {
    "espaciarte": {
      "command": "node",
      "args": ["/Users/vicentecantu/Development/espaciarte/espaciarte-mcp/dist/index.js"],
      "env": { "BACKEND_BASE_URL": "http://localhost:8000" }
    }
  }
}

Smoke test

pnpm smoke     # 9-check battery: both tools live, error paths, privacy fields (needs backend up)
pnpm inspect   # MCP Inspector UI against the built server

Or headless: npx @modelcontextprotocol/inspector --cli node dist/index.js --method tools/list

Note: local seed data is geo-centered on Monterrey (25.6866, -100.3161) — searches around other cities correctly return 0 items.

Recommended Servers

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official

Featured

TypeScript

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official

Featured

Local

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official

Featured

TypeScript

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official

Featured

Python

Neon Database

MCP server for interacting with Neon Management API and databases

Official

Featured

E2B

Using MCP to run code via e2b.

Official

Featured

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official

Featured