"GPT-SoVITS MCP (Model Context Protocol) Integration" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
IPStack MCP Adapter turns IPStack's REST APIs into Model Context Protocol tools so any MCP-compatible client can call them directly in conversation. The first release ships IPStack IP geolocation and security lookups (single IP, caller's IP, and bulk). Additional APILayer services are added by registering them in a single config file, so the catalog grows without client-side changes.
Shared, verifiable memory for machines and AI. Encode where data lives; decode with any AI.
Read-only German street search and context across 593,062 historical records.
Read/verify the public map of location-anchored BSV pins; build place/mint payloads. No auth.
Forecasts for any US point, with context: alerts, what changed overnight, why, and history.
Marine and outdoor weather: multi-model forecasts, official bulletins, tides, anchorages.
Your own closet in your AI: outfits from clothes you own, rendered on a model inline.
Hosted MCP server for solar vitamin D. Six public tools, no account needed: find a city, sun times and golden hour, the synthesis window for a day, the whole year of viable months at a latitude, whether right now is a good moment from live UV, and what a sun session produced. Four more read a signed-in user profile, cities and sun history over OAuth 2.1. Built on NOAA solar geometry, a Madronich clear-sky UV model with ozone, MED by Fitzpatrick skin type, and live Open-Meteo data.
Model Context Protocol extension for Hebrew calendar
Discover 356K+ restaurants in 20 countries: search, reviews, cultural context, time-based offers.
Live used-car stock on named NZ dealer yards. Search make, model, price, city. Not Trade Me.
Geolocate Me turns your phone into location context for any AI assistant. Install the iOS or Android app, connect once with OAuth, and your GPS is queryable in natural language. Ask where you are, where you parked, where you were yesterday at 3pm, or how long you were at the office — the assistant calls the tool and answers with a real street address. https://geolocateme.app
Pay people nearby for physical work: find out if something is true, or have it done.
The context layer for the physical world: filmed spaces as cited context for agents.
Seoul building context for AI agents, delivery/logistics, maps and robotics.
Context-aware reminders that surface when your situation matches, not at a fixed time.
