Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
Read-only Animica chain data, free AI inference, verifiable quantum randomness, and mining stats.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
ANIMICA_API_KEY, ANIMICA_RPC_URL, ANIMICA_BASE_URL, ANIMICA_POOL_URL, ANIMICA_BEACON_URL, ANIMICA_MODEL, ANIMICA_MCP_TIMEOUT_S标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
适用于网页版、桌面版和手机版 Claude:
https://mcp.animica.org/mcp打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"animica": {
"command": "uvx",
"args": [
"animica-mcp"
],
"env": {
"ANIMICA_API_KEY": "your-value",
"ANIMICA_RPC_URL": "your-value",
"ANIMICA_BASE_URL": "your-value",
"ANIMICA_POOL_URL": "your-value",
"ANIMICA_BEACON_URL": "your-value",
"ANIMICA_MODEL": "your-value",
"ANIMICA_MCP_TIMEOUT_S": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add --transport http animica https://mcp.animica.org/mcpclaude mcp add animica --env ANIMICA_API_KEY=your-value --env ANIMICA_RPC_URL=your-value --env ANIMICA_BASE_URL=your-value --env ANIMICA_POOL_URL=your-value --env ANIMICA_BEACON_URL=your-value --env ANIMICA_MODEL=your-value --env ANIMICA_MCP_TIMEOUT_S=your-value -- uvx animica-mcp运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"animica": {
"url": "https://mcp.animica.org/mcp"
}
}
}粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"animica": {
"command": "uvx",
"args": [
"animica-mcp"
],
"env": {
"ANIMICA_API_KEY": "your-value",
"ANIMICA_RPC_URL": "your-value",
"ANIMICA_BASE_URL": "your-value",
"ANIMICA_POOL_URL": "your-value",
"ANIMICA_BEACON_URL": "your-value",
"ANIMICA_MODEL": "your-value",
"ANIMICA_MCP_TIMEOUT_S": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"animica": {
"type": "http",
"url": "https://mcp.animica.org/mcp"
}
}
}粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"animica": {
"type": "stdio",
"command": "uvx",
"args": [
"animica-mcp"
],
"env": {
"ANIMICA_API_KEY": "your-value",
"ANIMICA_RPC_URL": "your-value",
"ANIMICA_BASE_URL": "your-value",
"ANIMICA_POOL_URL": "your-value",
"ANIMICA_BEACON_URL": "your-value",
"ANIMICA_MODEL": "your-value",
"ANIMICA_MCP_TIMEOUT_S": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
ChatGPT 只能连接互联网上的服务器:
https://mcp.animica.org/mcp菜单名称可能因套餐和版本不同而略有差异。
你的选择通过 Cookie 保存在这台设备上,无需账户。
ANIMICA_RPC_URL envANIMICA_BASE_URL envANIMICA_POOL_URL envANIMICA_BEACON_URL envANIMICA_MODEL envANIMICA_MCP_TIMEOUT_S env这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册名称已通过 GitHub 账户 animicaorg 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
尚未检查;我们会轮流检查各个端点
尚未检查;我们会轮流检查各个端点
尚未检查;我们会在检查端点时读取工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
你需要填写:ANIMICA_API_KEY
两种方式都可以:安装在你的电脑上,或者连接云端版本。
GitHub 仓库最后更新于–,最新版本(0.2.2)于3个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
同一分类中有:Spec Driven Development, Remote Desktop Commander, ScienceShot science reference
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Sourced, citable answers in radiation and particle physics, photonics, electronics and quantum.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Registry & packaging mirror. The server source lives in the monorepo:
https://github.com/animicaorg/all/tree/main/python/animica/mcp — it ships inside
the
animicaPyPI wheel (animica.mcp.server,
[mcp]extra). This repo holds the registry/packaging metadata (server.json,
Smithery/Docker files) and contains zero server code, so it can never drift from
the shipped implementation.
MCP (Model Context Protocol) server for the Animica AI + blockchain network. One command gives any MCP client (Claude Code, Claude Desktop, Cursor, VS Code, …) 15 read/compute tools: OpenAI-compatible AI inference, a verifiable quantum randomness beacon, read-only chain and account lookups, mining-pool stats, and Studio compute cost estimates.
The installable package is animica-mcp — a thin console wrapper around animica[mcp]; installing it pulls in the server and exposes the animica-mcp command.
pip install animica-mcp
uvx animica-mcp
| Tool | What it does |
|---|---|
animica_info | Orientation: what Animica is, the AI API, quantum beacon, endpoints, docs. Start here. |
animica_ai_ask | Ask Animica's ENA AI a question (OpenAI-compatible chat inference). |
animica_ai_models | List the AI models available on Animica's OpenAI-compatible API. |
animica_ai_job_status | Read the status of an ENA AI request/job by id (read-only). |
animica_quantum_beacon_latest | Latest round of the verifiable quantum randomness beacon. |
animica_quantum_draw | Compute a verifiable quantum-random draw off a beacon round (lottery, choice, weighted, shuffle, range, coin, dice, bytes). |
animica_quantum_verify | Re-verify a quantum-random draw client-side — pure offline compute. |
animica_qdna_verify_gene | Verify a qDNA training-genome gene seal (tamper-evidence) — pure offline compute. |
animica_chain_head | Chain head: current height/hash and chain id. Read-only. |
animica_chain_block | Read a block by height or hash (head block with neither). Read-only. |
animica_chain_account | Balance + nonce for an anim1… address. Read-only — no keys, no signing. |
animica_pool_stats | Live mining-pool stats: pool status plus active miner count. |
animica_network_hashrate | Current network hashrate from the chain. |
animica_studio_estimate | Estimate the ANM cost of an Animica Studio run before paying — local quote, charges nothing. |
animica_studio_functions | List functions deployed to Animica Studio. Read-only. |
claude mcp add animica -- uvx animica-mcp
Add to claude_desktop_config.json:
{
"mcpServers": { "animica": { "command": "uvx", "args": ["animica-mcp"] } } }
Add to ~/.cursor/mcp.json (or project .cursor/mcp.json):
{
"mcpServers": { "animica": { "command": "uvx", "args": ["animica-mcp"] } } }
Add to .vscode/mcp.json:
{
"servers": { "animica": { "type": "stdio", "command": "uvx", "args": ["animica-mcp"] } } }
If you installed with pip install animica-mcp, replace "command": "uvx", "args": ["animica-mcp"] with "command": "animica-mcp" in any of the configs above.
All endpoints default to public Animica infrastructure — the server works with zero configuration.
| Variable | Default | Purpose |
|---|---|---|
ANIMICA_BASE_URL | https://pool.animica.org/v1 | OpenAI-compatible inference API base (chat + models). https://animica.dev/v1 is the free keyless endpoint if you prefer it. |
ANIMICA_RPC_URL | https://rpc.animica.org/rpc | Node JSON-RPC endpoint (read-only calls). |
ANIMICA_POOL_URL | https://pool.animica.org | Mining-pool stats API. |
ANIMICA_BEACON_URL | https://pool.animica.org | Quantum randomness beacon (/beacon/*). |
ANIMICA_API_KEY | *(empty)* | Optional Bearer key for the inference API; not required. |
ANIMICA_MODEL | anm-fast-8b | Default model for animica_ai_ask. |
ANIMICA_MCP_TIMEOUT_S | 60 | HTTP timeout (seconds) for backend calls. |
MCP_TRANSPORT | stdio | Transport: stdio (default), streamable-http, or sse. |
animica-mcp.MCP_TRANSPORT=streamable-http animica-mcp serves HTTP on 127.0.0.1:8765. For host/port flags use the full CLI from the animica package: animica mcp serve --transport http --host 0.0.0.0 --port 8765 (serves MCP at /mcp).MCP_TRANSPORT=sse animica-mcp (legacy SSE clients).The Dockerfile + smithery.yaml in this repo package the streamable-HTTP mode for Smithery and other container hosts (listens on $PORT, serves MCP at /mcp).
RPC_READ_ALLOWLIST in the source); mutating methods (send, sign, deploy, claim) are not on the list and cannot be reached, even by a bug.https://animica.dev/v1)Apache-2.0