MCP（模型上下文协议）服务器，提供访问 STAC（时空资产目录）API 以实现地理空间数据的发现和访问。支持所有工具的双输出模式（text 和结构化 json）。

覆盖徽章会在CI工作流程推送到main时自动更新。

概述

该MCP服务器使AI助手和应用程序能够与STAC目录交互，以实现：

• 搜索和浏览STAC集合
• 查找地理空间数据集（卫星图像、天气数据等）
• 访问元数据和资产信息
• 执行空间和时间查询

特色

可用工具

所有工具都接受可选的 output_format 参数（默认为 "text" 或 "json"。JSON 模式返回一个 MCP TextContent，其 text 字段为紧凑的 JSON 包封：{ "mode": "json", "data": { ... } }（如果处理程序缺少 JSON 分支则为 { "mode": "text_fallback", "content": ["..."] }。这既保持向后兼容性，又支持结构化消耗（参见 ADR 0006 和 ASR 1003）。

• get_root：获取根文档（id/title/description/links/conformance 子集）

STAC MCP Server

An MCP (Model Context Protocol) Server that provides access to STAC (SpatioTemporal Asset Catalog) APIs for geospatial data discovery and access. Supports dual output modes (text and structured json) for all tools.

The coverage badge is updated automatically on pushes to main by the CI workflow.

Overview

This MCP server enables AI assistants and applications to interact with STAC catalogs to:

• Search and browse STAC collections
• Find geospatial datasets (satellite imagery, weather data, etc.)
• Access metadata and asset information
• Perform spatial and temporal queries

Features

Available Tools

All tools accept an optional output_format parameter ("text" default, or "json"). JSON mode returns a single MCP TextContent whose text field is a compact JSON envelope: { "mode": "json", "data": { ... } } (or { "mode": "text_fallback", "content": ["..."] } if a handler lacks a JSON branch). This preserves backward compatibility while enabling structured consumption (see ADR 0006 and ASR 1003).

• get_root: Fetch root document (id/title/description/links/conformance subset)
• get_conformance: List all conformance classes; optionally verify specific URIs
• get_capabilities: Get a summary of STAC API capabilities (query, sort, fields, queryables, aggregation, filter)
• search_collections: List and search available STAC collections
• get_collection: Get detailed information about a specific collection