"A search for Geographic Information Systems (GIS)" matching MCP servers:

An MCP server that allows users to run and visualize systems models using the lethain:systems library, including capabilities to run model specifications and load systems documentation into the context window.

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 draw GIS geometry on an interactive map and get clean, validated GeoJSON to hand off to other GIS MCP servers such as FEMA flood screening and USGS hydrography.

Enables users to turn natural-language requests into validated QGIS Processing plans that are executed step-by-step through a QGIS plugin, with safety checks, path confinement, and confirmation gates. It also supports diagnosing GIS errors, resuming blocked runs, and inspecting supported algorithms and past executions.

Enables AI agents to manage system updates, application installations, and remote host orchestration through MCP tools.

Serves SANDAG/SanGIS regional GIS data from SANDAG's ArcGIS Enterprise portal, enabling natural-language queries for parcels, floodplains, address points, transit, land use, and hundreds of other layers.

Glama Dockerfile for YUYU20061107/gis-agent-bridges（合集仓） 使用方式：在 Glama 该 listing 的 Admin -> Dockerfile 页面直接粘贴本文件内容。 构建上下文为仓库根目录。 合集仓含 9 个包、9 个独立的 live/mcp_server.py；Glama 一个 listing 只能 对应一个 Dockerfile / 一个入口。本文件选 supermap 包作为合集的 Glama 入口 （依据见同目录 RESEARCH.md 第四节：旗舰包、唯一实机校准、且该文件与单仓 supermap-gis-bridge 的 live/mcp_server.py 逐字节相同）。 其余 8 个包同为纯标准库、同架构，技术上任选其一都能通过检查。 FROM python:3.12-sli

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.

Glama Dockerfile for YUYU20061107/supermap-gis-bridge 使用方式：在 Glama 该 listing 的 Admin -> Dockerfile 页面直接粘贴本文件内容 （awesome-mcp-servers 机器人要求 "add Dockerfile directly to Glama"）。 构建上下文为仓库根目录。 为什么这么小就够：live/mcp_server.py 是纯 Python 标准库手写 stdio MCP 服务端（仅 import io/json/os/socket/subprocess/sys/time），无任何第三方 依赖、无 requirements.txt。initialize / tools/list / ping 全部由静态 TOOL_DEFS 在本地应答，不需要 Su

HandaaS的MCP服务器，提供全域资讯搜索、企业新闻、行业资讯、主题跟踪和企业动态监控能力，帮助用户开展行业研究和舆情分析。

Enables MCP clients to run whole-dataset GIS operations such as buffer, clip, reproject, overlay, spatial join, dissolve, zonal statistics, and attribute selection by passing file paths in and out, so an entire dataset is processed in a single call instead of feature by feature. It works over Streamable HTTP with a shared filesystem or base64 upload/download tools for remote clients.

Enables MCP clients like Claude to query Chinese A-share market data, including K-line charts with forward/backward adjustment, limit-up and limit-down pools, per-stock fund flows, index quotes, and stock news, with automatic symbol normalization and retry handling for throttled data sources.

Provides A-share (Chinese stock market) quantitative analysis through tools for stock screening, northbound capital flow tracking, dragon-tiger list analysis, margin trading, sector analysis, technical indicators, IPO info, and limit-up/down statistics using akshare data.

Enables AI coding agents to request a second opinion from a different frontier model via a single tool call, with PII scrubbed before transit, live web search, and support for Claude, ChatGPT, Cursor, and Gemini.

提供A股实时行情、历史K线、财务报表、技术指标等全方位数据查询的MCP服务器，支持盘中即时更新及批量查询。

Enables AI agents to request an independent second opinion from a different frontier model, with PII scrubbing before transit, live web search grounding, caching, and multi-provider failover.

Runs a local, file-based toolkit of 100 systems engineering skills that lets an AI assistant clean and map requirements, review specifications against ECSS, derive sub-requirements, check interfaces and budgets, and build verification and compliance matrices. It works on documents in a user-chosen local folder without sending customer data to a remote service or requiring an account or API key.

This MCP server provides secure access to databases for AI agents, enforcing authentication, authorization, human approval, logging, and notifications to prevent dangerous actions.

Local MCP server for A-share stock trading via Tonghuashun, offering account/position queries, buy/sell/cancel orders with risk controls and forced user confirmation; currently simulated with a reserved interface for real broker channels.

Provides current weather information for any location and generates AI-powered responses using Google Gemini through FastMCP.