Animica

mcpkey · package

dev.animica/animica · v0.2.2

Animica chain data, free keyless AI inference, quantum randomness, x402 discovery, mining stats.

run it

on your own machines, one way per deploy method

generated from the record, not tested yet

#!/usr/bin/env bash
# animica (dev.animica/animica), recipe baremetal (generated).
# Generated by Hub for toolset "my-agent"; started by mcp-my-agent-animica.service.
set -euo pipefail
export HOST=127.0.0.1 PORT=8101
exec uvx mcp-proxy --host 127.0.0.1 --port 8101 --pass-environment -- uvx animica-mcp==0.2.2

[Unit]
Description=MCP server animica (toolset my-agent), generated by Hub
After=network-online.target
Wants=network-online.target

[Service]
Type=simple
User=mcp
Group=mcp
EnvironmentFile=/etc/mcp/my-agent.env
Environment=HOME=/var/lib/mcp/animica
WorkingDirectory=/var/lib/mcp/animica
ExecStart=/opt/mcp/my-agent/bin/animica.sh
Restart=on-failure
RestartSec=5
NoNewPrivileges=true
ProtectSystem=strict
ProtectHome=true
PrivateTmp=true
ReadWritePaths=/var/lib/mcp/animica

[Install]
WantedBy=multi-user.target

generated from the record, not tested yet

docker run --rm -p 127.0.0.1:8101:8000 -e ANIMICA_API_KEY -e ANIMICA_RPC_URL -e ANIMICA_BASE_URL -e ANIMICA_POOL_URL -e ANIMICA_BEACON_URL -e ANIMICA_MODEL -e ANIMICA_MCP_TIMEOUT_S ghcr.io/astral-sh/uv:python3.12-bookworm-slim sh -c 'uvx mcp-proxy --host 0.0.0.0 --port 8000 --pass-environment -- uvx animica-mcp==0.2.2'

generated from the record, not tested yet

# Generated by Hub for toolset "my-agent" (2026-10-18T04:24:49+00:00).
# Each package server runs behind a stdio->HTTP bridge and listens on localhost only.
#   cp .env.example .env    # fill the ${VAR}s
#   docker compose up -d && bash smoke.sh
# Remote servers are not here: clients reach them directly (see clients/).
name: mcp-my-agent
services:
  animica:
    image: ghcr.io/astral-sh/uv:python3.12-bookworm-slim
    command:
    - sh
    - -c
    - uvx mcp-proxy --host 0.0.0.0 --port 8000 --pass-environment -- uvx animica-mcp==0.2.2
    ports:
    - 127.0.0.1:8101:8000
    volumes:
    - uv-cache:/root/.cache/uv
    healthcheck:
      test:
      - CMD
      - python3
      - -c
      - import urllib.request; urllib.request.urlopen('http://127.0.0.1:8000/status')
      interval: 30s
      timeout: 5s
      retries: 5
      start_period: 2m
    restart: unless-stopped
    environment:
      ANIMICA_API_KEY: ${ANIMICA_API_KEY}
      ANIMICA_RPC_URL: ${ANIMICA_RPC_URL}
      ANIMICA_BASE_URL: ${ANIMICA_BASE_URL}
      ANIMICA_POOL_URL: ${ANIMICA_POOL_URL}
      ANIMICA_BEACON_URL: ${ANIMICA_BEACON_URL}
      ANIMICA_MODEL: ${ANIMICA_MODEL}
      ANIMICA_MCP_TIMEOUT_S: ${ANIMICA_MCP_TIMEOUT_S}
volumes:
  npm-cache: {}
  uv-cache: {}

generated from the record, not tested yet

# Generated by Hub for toolset "my-agent" (2026-10-18T04:24:49+00:00).
#   kubectl create namespace mcp
#   kubectl -n mcp create secret generic mcp-credentials --from-env-file=.env
#   kubectl apply -f kubernetes.yaml
# Services are cluster-internal: <name>.mcp.svc.cluster.local:8000/mcp. Put an ingress
# with auth in front before exposing any of them.
apiVersion: v1
kind: Namespace
metadata:
  name: mcp
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: animica
  namespace: mcp
  labels: &id001
    app: animica
spec:
  replicas: 1
  selector:
    matchLabels: *id001
  template:
    metadata:
      labels: *id001
    spec:
      containers:
      - name: animica
        image: ghcr.io/astral-sh/uv:python3.12-bookworm-slim
        ports:
        - containerPort: 8000
          name: http
        env:
        - name: ANIMICA_API_KEY
          valueFrom:
            secretKeyRef:
              name: mcp-credentials
              key: ANIMICA_API_KEY
        - name: ANIMICA_RPC_URL
          valueFrom:
            secretKeyRef:
              name: mcp-credentials
              key: ANIMICA_RPC_URL
        - name: ANIMICA_BASE_URL
          valueFrom:
            secretKeyRef:
              name: mcp-credentials
              key: ANIMICA_BASE_URL
        - name: ANIMICA_POOL_URL
          valueFrom:
            secretKeyRef:
              name: mcp-credentials
              key: ANIMICA_POOL_URL
        - name: ANIMICA_BEACON_URL
          valueFrom:
            secretKeyRef:
              name: mcp-credentials
              key: ANIMICA_BEACON_URL
        - name: ANIMICA_MODEL
          valueFrom:
            secretKeyRef:
              name: mcp-credentials
              key: ANIMICA_MODEL
        - name: ANIMICA_MCP_TIMEOUT_S
          valueFrom:
            secretKeyRef:
              name: mcp-credentials
              key: ANIMICA_MCP_TIMEOUT_S
        command:
        - sh
        - -c
        - uvx mcp-proxy --host 0.0.0.0 --port 8000 --pass-environment -- uvx animica-mcp==0.2.2
        readinessProbe:
          httpGet:
            path: /status
            port: http
          initialDelaySeconds: 10
---
apiVersion: v1
kind: Service
metadata:
  name: animica
  namespace: mcp
spec:
  selector:
    app: animica
  ports:
  - port: 8000
    targetPort: http
    name: http

generated from the record, not tested yet

# Generated by Hub for toolset "my-agent" (2026-10-18T04:24:49+00:00).
# Credentials come from the Secret 'mcp-credentials' (kubectl create secret generic ... --from-env-file=.env).
# Each server under `servers` is one Deployment + Service; the keys after it configure
# upstream charts a worker verified.
servers:
  animica:
    enabled: true
    replicas: 1
    port: 8000
    path: /mcp
    container:
      name: animica
      image: ghcr.io/astral-sh/uv:python3.12-bookworm-slim
      ports:
      - containerPort: 8000
        name: http
      env:
      - name: ANIMICA_API_KEY
        valueFrom:
          secretKeyRef:
            name: mcp-credentials
            key: ANIMICA_API_KEY
      - name: ANIMICA_RPC_URL
        valueFrom:
          secretKeyRef:
            name: mcp-credentials
            key: ANIMICA_RPC_URL
      - name: ANIMICA_BASE_URL
        valueFrom:
          secretKeyRef:
            name: mcp-credentials
            key: ANIMICA_BASE_URL
      - name: ANIMICA_POOL_URL
        valueFrom:
          secretKeyRef:
            name: mcp-credentials
            key: ANIMICA_POOL_URL
      - name: ANIMICA_BEACON_URL
        valueFrom:
          secretKeyRef:
            name: mcp-credentials
            key: ANIMICA_BEACON_URL
      - name: ANIMICA_MODEL
        valueFrom:
          secretKeyRef:
            name: mcp-credentials
            key: ANIMICA_MODEL
      - name: ANIMICA_MCP_TIMEOUT_S
        valueFrom:
          secretKeyRef:
            name: mcp-credentials
            key: ANIMICA_MCP_TIMEOUT_S
      command:
      - sh
      - -c
      - uvx mcp-proxy --host 0.0.0.0 --port 8000 --pass-environment -- uvx animica-mcp==0.2.2
      readinessProbe:
        httpGet:
          path: /status
          port: http
        initialDelaySeconds: 10

# helm install my-agent helm/my-agent -n mcp

in the cloud

one click: the provider's deploy form opens filled in, in your own account

koyeb

deploy to koyeb

The form opens with CHANGE_ME for each value you supply: ANIMICA_API_KEY, ANIMICA_RPC_URL, ANIMICA_BASE_URL, ANIMICA_POOL_URL, ANIMICA_BEACON_URL, ANIMICA_MODEL, ANIMICA_MCP_TIMEOUT_S. Fill them in before you deploy.

Clients connect to the service's https://…koyeb.app address plus /mcp.

azure

deploy to azure template

A Container Apps environment with one app per server, each with HTTPS ingress and one replica. The portal asks for each value you supply as a secure parameter; the deployment's outputs list the endpoints.

connect to it

copy what your client needs

uvx animica-mcp==0.2.2
# env: ANIMICA_API_KEY, ANIMICA_RPC_URL, ANIMICA_BASE_URL, ANIMICA_POOL_URL, ANIMICA_BEACON_URL, ANIMICA_MODEL, ANIMICA_MCP_TIMEOUT_S

{
  "mcpServers": {
    "animica": {
      "command": "uvx",
      "args": [
        "animica-mcp==0.2.2"
      ],
      "env": {
        "ANIMICA_API_KEY": "${ANIMICA_API_KEY}",
        "ANIMICA_RPC_URL": "${ANIMICA_RPC_URL}",
        "ANIMICA_BASE_URL": "${ANIMICA_BASE_URL}",
        "ANIMICA_POOL_URL": "${ANIMICA_POOL_URL}",
        "ANIMICA_BEACON_URL": "${ANIMICA_BEACON_URL}",
        "ANIMICA_MODEL": "${ANIMICA_MODEL}",
        "ANIMICA_MCP_TIMEOUT_S": "${ANIMICA_MCP_TIMEOUT_S}"
      }
    }
  }
}

#!/usr/bin/env bash
# Registers every server with Claude Code (run once; `claude mcp list` to check).
set -euo pipefail
set -a; [ -f .env ] && source .env; set +a
claude mcp add animica -e "ANIMICA_API_KEY=${ANIMICA_API_KEY}" -e "ANIMICA_RPC_URL=${ANIMICA_RPC_URL}" -e "ANIMICA_BASE_URL=${ANIMICA_BASE_URL}" -e "ANIMICA_POOL_URL=${ANIMICA_POOL_URL}" -e "ANIMICA_BEACON_URL=${ANIMICA_BEACON_URL}" -e "ANIMICA_MODEL=${ANIMICA_MODEL}" -e "ANIMICA_MCP_TIMEOUT_S=${ANIMICA_MCP_TIMEOUT_S}" -- uvx animica-mcp==0.2.2

{
  "mcpServers": {
    "animica": {
      "command": "uvx",
      "args": [
        "animica-mcp==0.2.2"
      ],
      "env": {
        "ANIMICA_API_KEY": "${ANIMICA_API_KEY}",
        "ANIMICA_RPC_URL": "${ANIMICA_RPC_URL}",
        "ANIMICA_BASE_URL": "${ANIMICA_BASE_URL}",
        "ANIMICA_POOL_URL": "${ANIMICA_POOL_URL}",
        "ANIMICA_BEACON_URL": "${ANIMICA_BEACON_URL}",
        "ANIMICA_MODEL": "${ANIMICA_MODEL}",
        "ANIMICA_MCP_TIMEOUT_S": "${ANIMICA_MCP_TIMEOUT_S}"
      }
    }
  }
}

{
  "servers": {
    "animica": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "animica-mcp==0.2.2"
      ],
      "env": {
        "ANIMICA_API_KEY": "${ANIMICA_API_KEY}",
        "ANIMICA_RPC_URL": "${ANIMICA_RPC_URL}",
        "ANIMICA_BASE_URL": "${ANIMICA_BASE_URL}",
        "ANIMICA_POOL_URL": "${ANIMICA_POOL_URL}",
        "ANIMICA_BEACON_URL": "${ANIMICA_BEACON_URL}",
        "ANIMICA_MODEL": "${ANIMICA_MODEL}",
        "ANIMICA_MCP_TIMEOUT_S": "${ANIMICA_MCP_TIMEOUT_S}"
      }
    }
  }
}

name: my-agent
target: local
servers:
- hub: dev.animica/animica

not probed yet: tools unpinned, ingest lists them

tools

Not probed yetThe tools appear once the hub or its worker has listed this entry. Running it still works: your client lists them on first start.