MCP Servers

Google Maps integration for location services, routing, and place details

Geospatial tools for AI agents: geocoding, routing, elevation, spatial analysis, and file I/O (Shapefile, GeoJSON, GeoPackage)

A Model Context Protocol (MCP) server implementation that connects Large Language Models (LLMs) to GIS operations using GIS libraries, enabling AI assistants to perform accurate geospatial operations and transformations.

A Model Context Protocol (MCP) server implementation that connects LLMs to the GeoServer REST API, enabling AI assistants to interact with geospatial data and services.

An MCP server for nearby place searches with IP-based location detection.

An OpenStreetMap MCP server with location-based services and geospatial data.

Get weather information from https://api.open-meteo.com API.

🎖️ - Look up IP address geolocation, network information, detect proxies and VPNs, and find abuse contact details using IPLocate.io

MCP Server for the Aiwen IP Location, Get user network IP location, get IP details (country, province, city, lat, lon, ISP, owner, etc.)

IP Address location service using the IP Find API

Official IP2Location.io MCP server to obtain the geolocation, proxy and network information of an IP address utilizing IP2Location.io API.

Access real-time weather data for any location using the WeatherAPI.com API, providing detailed forecasts and current conditions.

Explore French communes and cadastral parcels based on name and surface

IP address geolocation and network information using IPInfo API

An MCP server that provides comprehensive US legislation.

Regulatory compliance (AI Act, GDPR, DORA) with article-level citations

Hindsight: Agent Memory That Works Like Human Memory - Built for AI Agents to manage Long Term Memory

Cognitive memory for AI agents with Hebbian learning, 3-tier architecture, and knowledge graphs. Single ~15MB binary, runs offline on edge devices.

Up-to-date code documentation for LLMs and AI code editors.

Save and query your agent memory in distributed way by Membase

Persistent identity architecture for AI agents. 16 MCP servers covering drives, emotional relationships, semantic memory with decay, working threads, learned patterns, journal, genesis (identity discovery), creative collision engine, forecasting, and voice. Zero dependencies beyond Python 3.8. Built across 938 conversations.

Your AI agents' home directory — privacy-first MCP server for portable AI identity. Configure once, use everywhere. It supports profile management, skills, resume import, and team sync.

7-layer recursive agent memory with context branching, holographic recall, dream consolidation, and on-chain persistence. MCP-native with 10 tools for persistent agent cognition.

Let AI tools like Cursor, VS Code, or Claude Desktop answer questions using your product docs. Biel.ai provides the RAG system and MCP server.