Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
作者による説明(英語の原文)
Swiss Ephemeris for AI agents: exact natal charts, transits, synastry and birth-place resolution
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
STELLARA_API_KEY, STELLARA_API_BASE_URL「秘密」と表示された値は、あなたのアカウントの鍵です。絶対に人に教えたり、チャットに貼り付けたりしないでください。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
ウェブ、デスクトップ、モバイルのClaudeで使えます:
https://mcp.stellara.natlex.it/mcpClaude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"mcpServers": {
"stellara": {
"command": "npx",
"args": [
"-y",
"stellara-mcp"
],
"env": {
"STELLARA_API_KEY": "your-value",
"STELLARA_API_BASE_URL": "your-value"
}
}
}
}ターミナルでこれを実行します
claude mcp add --transport http stellara https://mcp.stellara.natlex.it/mcpclaude mcp add stellara --env STELLARA_API_KEY=your-value --env STELLARA_API_BASE_URL=your-value -- npx -y stellara-mcp動かす前に、空欄の値を入力してください。
プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"stellara": {
"url": "https://mcp.stellara.natlex.it/mcp"
}
}
}プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"stellara": {
"command": "npx",
"args": [
"-y",
"stellara-mcp"
],
"env": {
"STELLARA_API_KEY": "your-value",
"STELLARA_API_BASE_URL": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"stellara": {
"type": "http",
"url": "https://mcp.stellara.natlex.it/mcp"
}
}
}プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"stellara": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"stellara-mcp"
],
"env": {
"STELLARA_API_KEY": "your-value",
"STELLARA_API_BASE_URL": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
ChatGPTがつなげるのは、インターネット上のサーバーだけです:
https://mcp.stellara.natlex.it/mcpメニューの名前は、プランや時期によって少し違うことがあります。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
STELLARA_API_BASE_URL envこの設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
このサーバーのツール一覧はまだ読み取っていません。エンドポイントは順番にチェックしています。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月8日にチェック
公開者(natlex.it)がリポジトリの所有者(mihnin)ではありません。別の人が登録した可能性があります
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
まだチェックしていません。エンドポイントは順番にチェックしています
まだチェックしていません。エンドポイントは順番にチェックしています
まだチェックしていません。エンドポイントをチェックするときにツール一覧を読み取ります
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち0項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
入力が必要なもの:STELLARA_API_KEY
どちらでも使えます。パソコンにインストールしても、クラウド版につないでもかまいません。
GitHubリポジトリの最終更新は–、最新バージョン(0.2.2)がレジストリに届いたのは2 か月前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。URLでつながるので、リモートMCPサーバーに対応したアプリ(開発者モードのChatGPTなど)でも使えます。
同じカテゴリには:Figma Context MCP, Claude Real Video, Figma MCP Server
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:↓ 週あたりのダウンロードi★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
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.
The Figma MCP server brings Figma design context directly into your AI workflow.
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
Give your AI agent a real astronomical calculator. stellara-mcp is a tiny, open-source Model Context Protocol server that turns any MCP-capable agent — Claude.ai / Claude Desktop / Claude Code, ChatGPT, Codex, Cursor, Windsurf, Gemini CLI, Grok, Hermes — into an astrologer that never invents a planetary position. Connect by URL (no install) or run the package locally with an API key.
It exposes four tools backed by Swiss Ephemeris (the same engine professional astrologers use) running in the Stellara cloud:
| Tool | What you get back (exact JSON) |
|---|---|
resolve_birth_place | "Warsaw, 14:30" → latitude / longitude, IANA timezone and a tz-aware birth_datetime with the historically correct UTC offset (old DST rules, decree time), plus age and DST-ambiguity flags — so the agent never guesses coordinates or offsets |
calculate_natal_chart | 14 points (Sun → Pluto, Chiron, Lilith, North/South Node) with sign, degree, absolute longitude, house, retrograde, speed, declination · 12 house cusps · Ascendant / MC / Descendant / IC · every major aspect with its exact orb and applying / separating |
get_transits_and_aspects | Transiting positions at any moment · every transit-to-natal aspect (planets and angles) with orb and applying / separating · which natal house each transiting planet occupies |
calculate_synastry | All inter-chart aspects between two people with exact orbs · house overlays (A's planets in B's houses and vice versa) |
Plus two MCP prompts: collect_birth_profile, a guided intake of the data every reading depends on (date → time with certainty → place → optional city, name, gender → confirmation card with age), and astrologer_system_prompt, which switches the agent into a disciplined professional-astrologer style for interpreting that JSON.
The server does not interpret and does not call any LLM. It is a proxy adapter: numbers in, numbers out. Your agent does the reading; Swiss Ephemeris does the math.
Ask a language model "where was my Moon on 17 May 1990 at 14:30 in Warsaw?" and it will answer confidently — and, more often than not, wrongly. Ecliptic longitudes, house cusps and aspect orbs are the output of numerical integration of planetary motion plus spherical trigonometry for the local horizon. That is not something a next-token predictor can do in its head. Typical failure modes:
Every one of those errors poisons the whole interpretation that follows. A reading built on a wrong Ascendant is worthless no matter how eloquent it is.
stellara-mcp fixes this at the root. The agent calls a tool; the tool returns Swiss-Ephemeris-grade positions (sub-arcsecond precision, tropical zodiac, ten house systems, exact orbs, applying/separating derived from real planetary speeds); the agent interprets only that data. Deterministic senses, deterministic calculator — the language model is left to do what it is actually good at.
Two ways to connect:
claude mcp add --transport http stellara https://mcp.stellara.natlex.it/mcp, then /mcp to sign in. Nothing to install, nothing to configure; tokens are short-lived and can be revoked from the app.The package runs on Node.js ≥ 18.17 and is launched with
npx, so nothing to
install globally. All configs below are the same three lines: command, args, env.
Edit claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\):
{
"mcpServers": { "stellara": { "command": "npx", "args": ["-y", "stellara-mcp"], "env": { "STELLARA_API_KEY": "sk_stellara_your_key_here" } } } }
Restart Claude Desktop. The three tools appear under the 🔌 icon; the astrologer_system_prompt prompt appears in the prompts (+) menu.
Add the same block to ~/.hermes/config.json:
{
"mcpServers": { "stellara": { "command": "npx", "args": ["-y", "stellara-mcp"], "env": { "STELLARA_API_KEY": "sk_stellara_your_key_here" } } } }
Hermes discovers the tools on next launch. If your Hermes build uses a different top-level key for MCP servers, keep the command / args / env triple as is — it is the standard stdio launch spec.
Cursor: Settings → MCP → Add new global MCP server (or .cursor/mcp.json in a project). Windsurf: Settings → Cascade → MCP servers (or ~/.codeium/windsurf/mcp_config.json). Both take the identical JSON:
{
"mcpServers": { "stellara": { "command": "npx", "args": ["-y", "stellara-mcp"], "env": { "STELLARA_API_KEY": "sk_stellara_your_key_here" } } } }
Launch npx -y stellara-mcp as a stdio server with the environment variable STELLARA_API_KEY set. That is the whole integration surface.
git clone https://github.com/mihnin/stellara-mcp.git
cd stellara-mcp npm install && npm run build
then use "command": "node", "args": ["/absolute/path/to/stellara-mcp/dist/index.js"] in any of the configs above.
User: Build my natal chart — I was born on 17 May 1990 at 14:30 in Warsaw —
and tell me why work feels so heavy today.
Agent *(loads
astrologer_system_prompt, asks whether 14:30 is exact or
approximate, calls
resolve_birth_place("Warsaw, Poland", "1990-05-17T14:30")→
52.23 / 21.01, Europe/Warsaw,
1990-05-17T14:30:00+02:00, then
calculate_natal_chartwith those values, thenget_transits_and_aspectsfor today)*
Your chart is built from Swiss Ephemeris positions, so let's start with what's
actually there. Sun at 26°14' Taurus in the 9th house, Moon at 3°52' Capricorn in
the 4th, Ascendant 8°41' Virgo. The tightest natal aspect is Saturn conjunct
Neptune (orb 0.6°) sitting in your 5th house — a lifelong tension between structure
and drift in creative work.
Why today is heavy: transiting Saturn is squaring your natal Sun with an orb of
1.2° and it is applying, so the pressure is still building toward exact in
about two weeks. Saturn squares to the Sun feel like carrying a backpack of
obligations — output is fine, but everything costs more effort. At the same time
transiting Mars is passing through your natal 6th house of daily work
(Aquarius), conjunct your natal Mercury with a 0.4° orb: fast, irritable, prone to
arguing with tools and colleagues.
Practical read: this is a "finish, don't start" window. Close the two tasks with
deadlines, defer the brainstorming to after the Saturn square separates, and
don't read the Mars–Mercury irritability as a sign that the job is wrong. If you
can, I'd like your birth time to the minute — the Ascendant at 8° Virgo is close
to a sign boundary, and the house placements above depend on it.
Every degree, orb and "applying" in that answer came from a tool result; the interpretation is the agent's. That separation is the entire point.
Chart tools take datetimes as ISO-8601 with a timezone (1990-05-17T14:30:00+02:00 or ...Z); naive values are rejected before any network call. Coordinates are decimal degrees (north / east positive). The intended flow is resolve_birth_place first — it produces exactly those values from what the user actually says.
resolve_birth_place| Input | Type | Notes |
|---|---|---|
place | string | Free text, any language: Warsaw, Варшава, Springfield, Illinois, USA |
local_datetime | string (optional) | Local wall-clock time without an offset: 1990-05-17T14:30, or 1990-05-17 if the time is unknown (12:00 assumed and flagged) |
Output:
{
"query": "Warsaw", "display_name": "Warszawa, województwo mazowieckie, Polska", "latitude": 52.2333742, "longitude": 21.0711489, "timezone": "Europe/Warsaw", "local_datetime": "1990-05-17T14:30:00", "utc_offset": "+02:00", "birth_datetime": "1990-05-17T14:30:00+02:00", "birth_datetime_utc": "1990-05-17T12:30:00Z", "time_assumed_noon": false, "local_time_ambiguity": "none", "age_years": 36, "source": "nominatim" }
birth_datetime, latitude and longitude go straight into the chart tools. local_time_ambiguity is ambiguous_dst_fallback when the wall time happened twice (autumn clock change) and nonexistent_dst_gap when the clocks skipped it — the agent should ask which one the user means. Offsets come from the IANA tz database, so 1985 Moscow resolves to +04:00 and 2015 Moscow to +03:00. Errors: PLACE_NOT_FOUND (try a larger nearby city / add the country) and GEOCODER_UNAVAILABLE (transient — retry). Geocoding uses OpenStreetMap Nominatim; nothing about the request is stored.
calculate_natal_chart| Input | Type | Notes |
|---|---|---|
birth_datetime | string | ISO-8601 with tz |
latitude | number | −90 … 90 |
longitude | number | −180 … 180 |
house_system | enum | placidus (default), koch, porphyry, regiomontanus, campanus, equal, whole_sign, topocentric, morinus, alcabitius |
include_minor_aspects | boolean | default false — majors only (conjunction 10°, opposition 10°, trine 8°, square 8°, sextile 6°) |
Output (abridged):
{
"input": { "birth_datetime_utc": "1879-03-14T10:30:00Z", "latitude": 48.4011, "longitude": 9.9876, "house_system": "placidus" }, "planets": [ { "name": "Sun", "sign": "Pisces", "degree": 23.498749, "absolute_longitude": 353.498749, "house": 10, "retrograde": false, "speed": 0.995959, "declination": -2.585261 } ], "houses": [ { "house": 1, "sign": "Cancer", "degree": 7.4423, "absolute_longitude": 97.4423 } ], "angles": { "ascendant": {...}, "midheaven": {...}, "descendant": {...}, "imum_coeli": {...} }, "aspects": [ { "point_a": "Sun", "point_b": "Mercury", "aspect": "conjunction", "exact_degrees": 0, "orb": 9.627514, "movement": "separating" } ], "meta": { "engine": "Swiss Ephemeris (kerykeion 5.12.7)", "zodiac": "tropical", "house_system": "placidus", "orbs": {...}, "time_resolution": "minute" } }
get_transits_and_aspects| Input | Type |
|---|---|
natal | object — same fields as calculate_natal_chart |
target_datetime | string — ISO-8601 with tz |
include_minor_aspects | boolean |
Returns natal (the full chart above), target_datetime_utc, transiting_planets (same point shape plus natal_house), and aspects_to_natal:
{ "transiting": "Saturn", "natal": "Sun", "aspect": "square", "exact_degrees": 90, "orb": 1.21, "move冒頭だけを表示しています。続きはリポジトリで読めます