Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Description from the maker (original English)
True solar time correction for BaZi charts: historical DST, longitude, equation of time.
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"true-solar-time": {
"command": "npx",
"args": [
"-y",
"true-solar-time-mcp"
]
}
}
}Run this in your terminal
claude mcp add true-solar-time -- npx -y true-solar-time-mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"true-solar-time": {
"command": "npx",
"args": [
"-y",
"true-solar-time-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"true-solar-time": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"true-solar-time-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
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Runs on your computer; the tool list appears in your AI app after you install it.
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This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
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The GitHub repo last changed –, and the latest version (1.0.1) reached the registry 3 months ago.
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In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server
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Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Let any LLM watch a video locally — and search everything it has ever watched.
Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.
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True solar time correction for BaZi / Four Pillars charts — the step most calculators skip.
An MCP server, CLI, and TypeScript library that converts a recorded birth time (wall clock + IANA time zone + longitude) into the sun's actual time at the birthplace. Deterministic: same input, same output, every time.
$ npx true-solar-time 1988-07-01 08:00 Asia/Shanghai 121.47
clock time 1988-07-01 08:00 (Asia/Shanghai, DST GMT+9) true solar 1988-07-01 07:02 correction -58 min DST -60 longitude +6 eq. of time -4 hour branch 辰 (2 min from 卯) ⚠ within 8 min of a branch boundary — cast both candidates
A BaZi chart is a function of the sun's position, but birth records are written in civil clock time. Between the two sit three corrections that nearly every chart tool — including the popular open-source LLM "skills" — silently skips:
This library also reports two things most tools won't tell you:
It does not cast charts, pick favorable elements, or interpret anything. Casting is a solved problem with good open-source implementations; interpretation has no unique right answer and doesn't belong in a lookup library. One step, done carefully.
The full methodology — every constant, threshold, and convention, including the ones this library uses — is published at [auspiceoracle.com/en/method](https://auspiceoracle.com/en/method). Three worked examples with full derivations: [the birth-time test](https://auspiceoracle.com/en/content/birth-time-test). Background essay: [true solar time](https://auspiceoracle.com/en/content/true-solar-time).
To try it on your own birth data without installing anything: [free BaZi calculator](https://auspiceoracle.com/en/chart) (true solar time applied).
Hosted endpoint (no install): https://auspiceoracle.com/mcp — stateless streamable HTTP, no auth. Works as a claude.ai custom connector or in any MCP client that speaks streamable HTTP:
{
"mcpServers": { "true-solar-time": { "url": "https://auspiceoracle.com/mcp" } } }
Local (stdio):
{
"mcpServers": { "true-solar-time": { "command": "npx", "args": ["-y", "true-solar-time-mcp"] } } }
Tools:
The hosted endpoint additionally exposes `cast_pillars` — solar-corrected four pillars with hidden stems, Na Yin and luck cycles, computed by the production Auspice Oracle engine (closed source; same conventions as the published methodology). Facts only — no strength verdicts, no interpretation.
If you're building a BaZi skill or agent: call true_solar_time before casting, and pass the corrected time to your caster. An LLM cannot do this conversion in-context — the equation of time is a trigonometric series and the DST history lives in a database, not in model weights.
import { toTrueSolarTime } from 'true-solar-time-mcp'
const r = toTrueSolarTime(1992, 6, 15, 7, 10, 'Asia/Shanghai', 87.6) // r.hour === 4, r.minute === 59, r.correctionMinutes === -130 // r.hourBranch === '寅' — two branches away from what the clock says
The MCPB bundle in the releases packages this server for one-click install, with the full charting flow added:
| Tool | Where it runs |
|---|---|
true_solar_time, hour_branch | locally, offline, from the code in this repo |
cast_chart, personality_sketch, compose_sketch | remotely, on https://auspiceoracle.com/mcp/bazi |
Casting the four pillars needs the production engine (solar-term instants, luck-cycle start dates, the late-Zi convention), which is not part of this package — so the bundle forwards those three calls over HTTPS and passes the result through unchanged. Build it yourself with npm run build:mcpb.
The same hosted endpoint works as a plain remote MCP server, no install required:
claude mcp add --transport http bazi https://auspiceoracle.com/mcp/bazi
Full policy: https://auspiceoracle.com/en/privacy
true_solar_time, hour_branch) send nothing anywhere. No network, no telemetry, no files written.cast_chart, personality_sketch, compose_sketch) send the birth details you provide — date, clock time, IANA time zone, longitude, and for casting the gender flag that sets luck-cycle direction — to https://auspiceoracle.com/mcp/bazi over HTTPS, to compute that one response.This is an extracted mirror of the solar-time layer of the engine behind Auspice Oracle. The main engine is the source of truth; the golden tests here pin this mirror to the same published examples. Bug reports are very welcome; PRs that change the conventions above will be declined (a convention fork would make the published methodology untrue).
MIT © Shan Liu