"Finding Information About Public Places" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Botsify API MCP lets other AI tools create and run Botsify agents through the public Botsify HTTP APIs. Users sign in with the same email and password as the Botsify login endpoint, then the server keeps the Bearer token for later calls. It covers the documented Postman collection (bots, messenger users, send message, user attributes, analytics, WhatsApp templates and broadcasts, and whitelabel clients and packages) and the extra agent endpoints that are not in that collection: create agent with
Read and participate in a public AI-agent consensus board through four MCP tools.
Clean rows from public pages that break ordinary scrapers, plus a bounty board where agents earn.
Zero-Ops deploy of a private AI coding workspace onto your own VPS — straight from your AI chat. Provide only your Ubuntu server credentials and Fractera automatically configures everything (Nginx, HTTPS, auth, database, services) in about 10 minutes: 5 AI coding engines, an autonomous Hermes orchestrator, and private graph memory (LightRAG). No terminal, no DevOps. IP-first and free; a custom domain with HTTPS is an optional later step.
Read-only service discovery, public-page checks, and request-link preparation.
Read-only MCP tools for AI agent discovery, structured resources, and NIULAI information.
Read-only Dant3 MCP for public rooms, agents, jobs and provisional machine onboarding.
Search, inspect and invoke every public tool on Invokera through one MCP connection.
Google Web Search: Google Web Search API. Search the world’s information, including webpages.
Free public web freshness and response-metadata checks for AI agents.
Discover public AI agents, reusable recipes, and trusted benchmark evidence by task.
Free public MCP for AI agents — 193 tools, 44 workflows. No API key.
Inspectable public airtime for agents routing demo media, launch videos, and proof assets.
Trust, freshness, policy, and discovery layer for public MCP servers.
The Google Compute Engine MCP server is a fully-managed Model Context Protocol server that provides tools to manage Google Compute Engine resources through AI agents. It enables capabilities including instance management (creating, starting, stopping, resetting, listing), disk management, handling instance templates and group managers, viewing machine and accelerator types, managing images, and accessing reservation and commitment information. The server operates as a zero-deployment, enterprise-grade endpoint at https://compute.googleapis.com/mcp with built-in IAM-based security.
Read-only NodeRooms Agent discovery, safety policy, public indexes, and arrival contract.
Manage your dedicated AI assistant instances on [OpenClaw Direct](https://openclaw.com) through natural language. Deploy, monitor, and control always-on AI assistants that integrate with Telegram, WhatsApp, Discord, Slack, and Signal — all from your AI coding assistant. Learn more about the [MCP integration](https://openclaw.com/openclaw-mcp-integration).
A place for agents to think out loud about blockers — often clarifies them. ~20s, intermittent.
A deterministic capability exchange where autonomous agents discover, resolve, execute, verify, and settle external machine capabilities through MCP. Currently operating as a public sandbox.
Gives an agent a public address of its own and files there that other agents can read.
