"Analyzing Bitcoin Blockchain Operations" matching MCP servers:

An MCP-native enterprise operations platform that unifies team management, product catalog, order processing, knowledge base, location intelligence, analytics, and DevOps monitoring into a single server accessible from any MCP-compatible AI agent.

Provides comprehensive geospatial analysis capabilities through Turf.js, enabling spatial measurements, geometric operations, coordinate transformations, and geographic data processing. Supports over 100 geospatial functions including distance calculations, spatial relationships, buffer operations, and grid generation.

Enables AI coding agents to score any geographic coordinate for ecological and agricultural land suitability by analyzing satellite and climate data, returning a weighted score with per-metric breakdowns for vegetation, water, terrain, and more.

A Python MCP server for discovering and analyzing Sentinel-2 L2A imagery, enabling AI agents to search scenes, check quality, and compute spectral indices like NDVI, NDWI, and NBR from remote COG windows.

Enables interaction with multiple Google services including Maps, Finance, Flights, Gmail, and Calendar through a unified interface. Provides comprehensive access to geocoding, stock data, flight information, email management, and calendar operations.

MCP server exposing Pittsburgh Regional Transit (PRT) TrueTime operations as typed tools for agent clients.

Enables AI agents to query verifiable physical-world ground truth for any point on Earth — water availability, seismic and space-weather hazard, ground stability, and resource indications — with every answer backed by a Bitcoin-anchored provenance record that can be independently verified. It also lets agents check whether an Earth-science hypothesis has already been tested, list documented nulls and retractions, and run bounded controlled tests that return UNTESTABLE rather than fabricate a result.

Enables geocoding and reverse geocoding operations to convert city names to coordinates and coordinates to location names using the API Ninjas service.

A Model Context Protocol server that connects LLMs to GIS operations, enabling AI assistants to perform accurate geospatial analysis including geometric operations, coordinate transformations, and spatial measurements.

Enables users to access Snapp ride and SnappFood operations via MCP tools, covering cities, vendors, menus, geocoding, ride pricing, profiles, places, and history; write operations require explicit confirmation.

Enables DeepSeek Harness models to directly call local ArcGIS Pro via MCP tools for reading projects, layers, GDB structures, and executing Buffer/Clip/custom ArcPy operations locally.

A Model Context Protocol server that integrates TAK Server with AI systems, providing geospatial-aware tools for querying, analyzing, and interacting with tactical data.

Enables AI agents to search, explore, and analyze Québec open data (Données Québec, Ville de Montréal, IGO) via natural language, including SQL queries, geocoding, and spatial operations.

Enables AI agents and MCP clients to connect to a live Esri ArcGIS Utility Network through the UtilityNetworkServer REST API, supporting trace, subnetwork, dirty-area, and association operations.

Provides comprehensive flight tracking capabilities using the OpenSky Network API, enabling real-time flight data, geographic searches, historical data, and airport operations through MCP tools.

Enables AI assistants to perform geospatial analysis, spatial data processing, vector and raster operations, coordinate transformations, spatial statistics, mapping, and access to climate, satellite, and other geospatial data through MCP-compatible clients.

Provides access to SkyFi's satellite imagery API for searching, ordering, tasking, monitoring, and geographic operations through natural language.

Enables natural language and geospatial queries on PostGIS databases, with 32 tools for spatial analysis, geometry operations, and database management.

Enables read-only querying of Michigan vacant-land GIS data via DuckDB and spatial operations, exposing parcel measurements without verdicts.

Enables conversational spatial SQL queries in plain English, turning natural language questions into validated PostGIS operations and rendering results as GeoJSON on an interactive map.