
Solar Data
io.github.hoodsy由 GitHub 账号 hoodsy 发布v0.1.1更新于 Oct 24, 2026
US open solar data for agents: PVWatts production, tariffs & ROI, market data, forecasts. 18 tools.
概览
本地 MCP 服务器,为助手提供 18 个工具,覆盖美国公开太阳能数据:PVWatts 发电建模、电价与投资回报、市场数据和发电预测。
- 可以做什么
- 发电建模:估算发电量、太阳辐照资源、比较不同朝向并反推系统容量
- 经济性分析:查询公用事业电价方案、电力价格、补贴激励与回本/投资回报
- 市场研究:已安装系统价格、审批周期、公用事业级电站与审批机构查询
- 发电预测,并将预测结果与模型输出对比
- 内置技能与报告提示词(市场简报、场地评估、报价审查、方案书),引导助手串联工具
- 适用场景
- 适合需要回答美国太阳能相关问题的场景,例如家庭回本测算与报价合理性判断、安装商方案书撰写,或市场价格与趋势研究,且要求数字带单位、来源和假设说明。
- 运行要求
- 通过 uvx(Python)以 stdio 在本地运行,仅支持桌面客户端。可选免费 API 密钥:NREL_API_KEY(发电、辐照与 ROI 工具需要)、OPENEI_API_KEY(电价方案)、EIA_API_KEY(电力价格)、AHJ_REGISTRY_TOKEN(审批机构查询)。市场与预测工具无需密钥;完整预测需另装 Quartz 模型。需要网络访问。
安装
在 SourceWeft 中
- 打开 控制台中的 Solar Data,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
README
☀️ solar-data-mcp
US solar data, agent-accessible.
[CI] [Python 3.11+] [License: MIT] [MCP]
One MCP server that brings US open solar data to Claude, ChatGPT, and anything else that speaks MCP.
Install one server — uvx solar-data-mcp — and your agent gets all 18 tools, 11
skills that teach it how to use them, and 4 ready-made report prompts, across four
data domains: production modeling, economics, market data, and forecasts. Every tool
returns the same envelope — data + units + source + assumptions + warnings —
so the agent always knows what a number means, where it came from, and which defaults
were injected on its behalf.
What can you ask it?
- Thinking about solar at home — "Would a 6 kW system pay off at my house?" · "Is this $21,000 quote fair?" · "What will my array generate tomorrow?"
- Selling or installing solar — "Build a proposal for this customer" · "How long does permitting take in Phoenix?" · "Where should we expand next?"
- Studying the market — "Brief me on the Texas solar market" · "How have installed prices trended in Colorado?" · "Which big plants have batteries?"
Behind each question the agent picks the right tools (or a skill routes it), and every number comes back with units, a source, and the assumptions made on your behalf.
Quickstart
-
Get a free NREL API key — https://developer.nlr.gov/signup/ (or use
DEMO_KEYto try it out — 10 requests/hour). -
Add the server to your agent — snippets for every major agent below; for Claude Desktop, merge this into
claude_desktop_config.json(full example inexamples/):Only
NREL_API_KEYis needed to start: the server runs with any subset of keys, and a tool missing its key returns setup instructions instead of failing silently. -
Restart your client and ask — try "Compare annual production for an 8 kW system in Mesa, AZ at 10° vs 25° tilt."
Verify keys and connectivity anytime:
Add it to your agent
Claude Code
(or commit the quickstart JSON to your project's .mcp.json)
Codex CLI — ~/.codex/config.toml:
(or codex mcp add solar-data --env NREL_API_KEY=YOUR_KEY -- uvx solar-data-mcp;
use env_vars = ["NREL_API_KEY"] to forward keys from your shell instead of
hardcoding them)
OpenCode — opencode.json in your project (or ~/.config/opencode/opencode.json):
Hermes — ~/.hermes/config.yaml, then /reload-mcp:
Claude Desktop — the quickstart JSON above.
Anything else that speaks MCP (stdio) — command uvx, args ["solar-data-mcp"],
keys in the env block.
API keys
All free, and every one optional — the server starts with none set.
Market tools (USPVDB, Tracking the Sun, SolarTRACE) and forecasts need no key.
Full forecast output additionally needs the Quartz model installed into a persistent
environment (see packages/solar-forecast/);
without it the forecast tools return install instructions.
Servers
uvx solar-data-mcp — the install above — serves all four domains on one stdio entry.
Each domain also ships as a standalone server:
Per-server config:
examples/claude_desktop_config.per-server.json.
⚠️ Run the combined
solar-dataserver or the per-domain servers, not both — and neversolar-economicsandsolar-marketside by side. Both open the same local DuckDB bulk store, which allows only one process at a time.
Tools
Eighteen tools across four domains; parameter details live in each tool's docstring and each domain package's README.
Skills & reports
Skills are procedures shipped inside the combined server that teach an agent to chain
the tools correctly — ordering, sync prerequisites, honest reporting. They're MCP
resources: skill://solar/index routes by question shape, skill://solar/<name> is
the procedure. Grouped by who's asking:
- Homeowners — site assessment, quote review, performance check
- Installers — proposal builder, territory expansion
- Analysts — market brief, pricing analysis, utility-scale scout, incentive scan
- Cross-cutting — data sync (bulk snapshots), data conventions (envelope literacy)
Four of these render reports with a fixed document shape and are also exposed as
MCP prompts your host surfaces natively — market_brief, site_assessment,
quote_review, proposal_builder (in Claude Code: /mcp__solar-data__market_brief).
Full catalog, routing design, and report templates: docs/skills.md.
Development
Layout: packages/core (shared HTTP client, cache, envelope), one package per domain
server, and packages/solar-data-mcp (the umbrella that mounts all four on one stdio
entry). Smallest possible client:
examples/example_client.py.
License
MIT. Per-source data licensing/attribution is exposed as MCP resources
(source://<name>/license).
来源:README.md,提交 7181708
工具
0版本历史
1- v0.1.1最新Sep 16, 2026
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