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Aris

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Connects agentic AI to Software AG ARIS platforms, enabling model and object operations via MCP tools.

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Описание

Connects agentic AI to Software AG ARIS platforms, enabling model and object operations via MCP tools.

README

Software AG ARIS REST API + MCP Server for Agentic AI.

aris-mcp connects the agent ecosystem to an ARIS tenant (ARIS Connect / ARIS Enterprise / ARIS Cloud). It is the inbound and outbound bridge for the agent-connector-sdk Knowledge Graph's Camunda + ARIS ↔ KG integration:

  • Inbound — the KG ARIS extractor (enrichment/extractors/aris.py) consumes this client to lift ARIS models + their EPC structure (functions → BusinessTask, rule operators → gateways, events collapsed, connections → FLOWS_TO) into the canonical ArchiMate ontology, where they reconcile with Camunda/Egeria via ALIGNED_WITH and are reasoned over in OWL/RDF.
  • Outbound — the KG process-intelligence writeback (enrichment/process_writeback.py) uses set_model_attributes to write a kg_intelligence attribute back onto ARIS models (gated by ARIS_ENABLE_WRITE).

Available MCP Tools

The table below is auto-generated from the live server — do not edit by hand.

Intent tools

MCP Tool Kind Description
aris_ingest_model_export intent Store a raw ARIS model export (bytes) as a content-addressed KG blob.
aris_ingest_models intent Natively ingest ARIS models into epistemic-graph as typed nodes.
aris_model intent Work with ARIS models and their EPC structure.
aris_object intent Write attributes on a single ARIS object.

4 intent tool(s) · 0 operation(s). Call an operation as act(action='<operation>', params={...}) (ask for reads); find(action='describe', params={'action': '<operation>'}) returns its arguments. An operation is enabled unless its <DOMAIN>TOOL toggle is set false. Auto-generated — do not edit.

Writes require ARIS_ENABLE_WRITE=True.

Environment Variables

Package environment variables

Variable Example Description
ARIS_API_BASE http://localhost/abs/api ARIS REST base URL (tenant API root). Default follows the ARIS Connect ABS layout.
ARIS_TLS_PROFILE — Named outbound TLS policy from AgentConfig (system trust store by default). Peer and hostname verification are mandatory and cannot be disabled. Point a self-signed / private-PKI tenant at its CA either with the standard SSL_CERT_FILE / SSL_CERT_DIR (applies to every service), or by naming a profile here (ARIS_TLS_PROFILE=) resolved from a TLS_PROFILES / TLS_PROFILES_REF catalog (ca_bundle_path, ca_directory, client_cert_path/ client_key_path, minimum_version) — see agent-connector-sdk' transport_security.
ARIS_TLS_PROFILE_REF —
ARIS_OAUTH_URL — 1. OAuth2 client-credentials (preferred for ARIS Cloud / Connect)
ARIS_CLIENT_ID —
ARIS_CLIENT_SECRET secret-injected
ARIS_TENANT —
ARIS_TOKEN secret-injected 2. Static bearer token (alternative to OAuth)
ARIS_USERNAME — 3. HTTP basic auth (alternative)
ARIS_PASSWORD secret-injected
ARIS_PATHS_JSON — Optional JSON overriding the default ARIS REST path templates per tenant e.g. {"models":"v2/repository/models","model_objects":"v2/models/{model_id}/objects"}
ARIS_ENABLE_WRITE False Allow (gated) attribute writes back onto ARIS models (KG writeback)
TRANSPORT stdio stdio, streamable-http, or sse
HOST 0.0.0.0
PORT 8000
MCP_ENABLED_TOOLS — Comma-separated tool / tag allow/deny lists
MCP_DISABLED_TOOLS —
MCP_ENABLED_TAGS —
MCP_DISABLED_TAGS —
DEBUG False
PYTHONUNBUFFERED 1
ARISTOOL True The action-routed ARIS tools (aris_model, aris_object) share this toggle.
ENABLE_OTEL True
OTEL_EXPORTER_OTLP_ENDPOINT —
OTEL_EXPORTER_OTLP_PROTOCOL —
EUNOMIA_TYPE none
EUNOMIA_POLICY_FILE mcp_policies.json
EUNOMIA_REMOTE_URL —

Inherited agent-connector-sdk variables (apply to every connector)

Variable Example Description
MCP_CLIENT_AUTH — Outbound MCP child auth: oidc-client-credentials | basic | none
OIDC_CLIENT_ID — OIDC client id (service-account auth)
OIDC_CLIENT_SECRET_REF secret://identity/oidc-client-secret Runtime secret reference for the OIDC service account
MCP_BASIC_AUTH_USERNAME — HTTP Basic username (MCP_CLIENT_AUTH=basic)
MCP_BASIC_AUTH_PASSWORD_REF secret://identity/mcp-basic-password Runtime secret reference for HTTP Basic auth (MCP_CLIENT_AUTH=basic)
MCP_URL http://localhost:8000/mcp URL of the MCP server the agent connects to
PROVIDER — Operator-configured LLM provider for the agent
MODEL_ID — Operator-configured model id for the agent
ENABLE_WEB_UI True Serve the AG-UI web interface

28 package + 9 inherited variable(s). Auto-generated from .env.example + the shared agent-connector-sdk set — do not edit.

Every variable the server reads, grouped by concern.

Connection & Credentials

Variable Purpose Default
ARIS_API_BASE ARIS REST base URL (tenant API root) http://localhost/abs/api
ARIS_TLS_PROFILE / ARIS_TLS_PROFILE_REF named outbound TLS policy from AgentConfig; verification is mandatory (empty, system trust)
ARIS_OAUTH_URL / ARIS_CLIENT_ID / ARIS_CLIENT_SECRET / ARIS_TENANT OAuth2 client-credentials (preferred) —
ARIS_TOKEN static bearer token (alt to OAuth) —
ARIS_USERNAME / ARIS_PASSWORD HTTP basic (alt) —
ARIS_PATHS_JSON JSON overriding REST path templates per tenant —
ARIS_ENABLE_WRITE allow attribute writes False

Tenant differences. ARIS deployments vary (Connect ABS portal vs the public ARIS API; on-prem vs Cloud). The defaults follow the common ARIS Connect ABS REST layout. If the operator's tenant's paths differ, set ARIS_PATHS_JSON, e.g. {"models":"v2/repository/models","model_objects":"v2/models/{model_id}/objects"}.

MCP server / transport

Variable Description Default
TRANSPORT stdio, streamable-http, or sse stdio
HOST Bind host (HTTP transports) 0.0.0.0
PORT Bind port (HTTP transports) 8000
MCP_TOOL_MODE Tool surface: condensed, verbose, or both condensed
MCP_ENABLED_TOOLS / MCP_DISABLED_TOOLS Comma-separated tool allow/deny list —
MCP_ENABLED_TAGS / MCP_DISABLED_TAGS Comma-separated tag allow/deny list —
DEBUG Verbose logging False
PYTHONUNBUFFERED Unbuffered stdout (recommended in containers) 1

Tool toggles

The action-routed tools can be disabled via their toggle env var (set to false): ARISTOOL (see the Available MCP Tools table above).

Telemetry & governance

Variable Description Default
ENABLE_OTEL Enable OpenTelemetry export True
OTEL_EXPORTER_OTLP_ENDPOINT OTLP collector endpoint —
OTEL_EXPORTER_OTLP_PUBLIC_KEY / OTEL_EXPORTER_OTLP_SECRET_KEY OTLP auth keys —
OTEL_EXPORTER_OTLP_PROTOCOL OTLP protocol (e.g. http/protobuf) —
EUNOMIA_TYPE Authorization mode: none, embedded, remote none
EUNOMIA_POLICY_FILE Embedded policy file mcp_policies.json
EUNOMIA_REMOTE_URL Remote Eunomia server URL —

Agent CLI (full [agent] runtime only)

Variable Description Default
MCP_URL URL of the MCP server the agent connects to http://localhost:8000/mcp
PROVIDER LLM provider (e.g. openai) openai
MODEL_ID Model id (e.g. gpt-4o) gpt-4o
ENABLE_WEB_UI Serve the AG-UI web interface True

Installation

Install the slim [mcp] extra. Install aris-mcp[mcp] — the MCP-server extra that pulls only the FastMCP / FastAPI tooling (agent-connector-sdk). It deliberately excludes the heavy agent runtime (the epistemic-graph engine, pydantic-ai, dspy, llama-index, tree-sitter), so uvx/container installs are dramatically Pydantic AI agent.

Pick the extra that matches what the operator want to run:

Extra Installs Use when
aris-mcp[mcp] Slim MCP server only (agent-connector-sdk — FastMCP/FastAPI) The operator only run the MCP server (smallest install / image)
aris-mcp[all] Everything (mcp + agent + logfire) Development / both surfaces
# MCP server only (recommended for tool hosting — slim deps)
uv pip install "aris-mcp[mcp]"

# Everything (development)
uv pip install "aris-mcp[all]"      # or: python -m pip install "aris-mcp[all]"

Container images (:mcp)

One multi-stage docker/Dockerfile builds the MCP-only image (--target mcp):

Image tag Build target Contents Entrypoint
knucklessg1/aris-mcp:mcp --target mcp aris-mcp[mcp] — slim, no engine/pydantic-ai/dspy/llama-index/tree-sitter aris-mcp
docker build --target mcp   -t knucklessg1/aris-mcp:mcp    docker/   # slim MCP server

agent (:1.3.1) with a co-located :mcp sidecar.

Knowledge-graph database (epistemic-graph)

transitively via agent-connector-sdk). For production — or to share one knowledge graph across multiple agents — run epistemic-graph as its own database container and point the agent at it instead of embedding it. Deployment recipes (single-node + Raft HA), connection config, and the full database architecture (with diagrams) are documented in the epistemic-graph deployment guide. The slim [mcp] server does not require the database.

Run

aris-mcp                       # stdio (default)
aris-mcp --transport streamable-http --host 0.0.0.0 --port 8000

MCP Configuration Examples

Install the connector-focused [mcp] extra. Examples use aris-mcp[mcp] to add FastMCP / FastAPI through agent-connector-sdk; the required Agent Connector SDK core still carries epistemic-graph[full]. The [agent-runtime] extra additionally enables model orchestration.

stdio Transport (local IDEs — Cursor, Claude Desktop, VS Code)

{
  "mcpServers": {
    "aris-mcp": {
      "command": "uvx",
      "args": [
        "--from",
        "aris-mcp[mcp]",
        "aris-mcp"
      ],
      "env": {
        "ARISTOOL": "True",
        "ARIS_API_BASE": "http://localhost/abs/api",
        "ARIS_ENABLE_WRITE": "False"
      }
    }
  }
}

Runtime references require an alias-aware launcher such as Arbora. Other launchers must omit those entries and inject the resolved values through their own runtime secret boundary.

Streamable-HTTP Transport (networked / production)

{
  "mcpServers": {
    "aris-mcp": {
      "command": "uvx",
      "args": [
        "--from",
        "aris-mcp[mcp]",
        "aris-mcp",
        "--transport",
        "streamable-http",
        "--port",
        "8000"
      ],
      "env": {
        "TRANSPORT": "streamable-http",
        "HOST": "127.0.0.1",
        "PORT": "8000",
        "ARISTOOL": "True",
        "ARIS_API_BASE": "http://localhost/abs/api",
        "ARIS_ENABLE_WRITE": "False"
      }
    }
  }
}

Alternatively, connect to a pre-deployed Streamable-HTTP instance by url:

{
  "mcpServers": {
    "aris-mcp": {
      "url": "http://localhost:8000/aris-mcp/mcp"
    }
  }
}

Run a reviewed container image as a least-privilege stdio child (no listener or published port):

docker run -i --rm \
  --read-only \
  --cap-drop=ALL \
  --security-opt=no-new-privileges \
  --pids-limit=256 \
  --tmpfs /tmp:rw,noexec,nosuid,nodev,size=64m \
  -e TRANSPORT=stdio \
  -e ARISTOOL=True \
  -e ARIS_API_BASE=http://localhost/abs/api \
  -e ARIS_ENABLE_WRITE=False \
  registry.example.invalid/aris-mcp@sha256:<digest> aris-mcp

For containerized network HTTP, supply an authenticated TLS ingress (or direct server TLS), exact MCP_ALLOWED_HOSTS, and an exact trusted-proxy CIDR policy through the operator-owned deployment profile. The generator does not emit an unauthenticated non-loopback listener.

Auto-generated from the code-read env surface (package vars) — do not edit.

Deployment

  1. stdio — uv run aris-mcp (see mcp_config.json).
  2. streamable-http — aris-mcp --transport streamable-http --port 8000.
  3. local container — build from docker/ and run with the env above.
  4. remote — point the operator's client at https://aris-mcp.example.invalid/mcp.

Deploy with agent-os-genesis

This package can be provisioned for you — skill-guided — by the agent-os-genesis universal skill (its single-package deploy mode): it picks your install method, seeds secrets to OpenBao/Vault (or .env), trusts your enterprise CA, registers the MCP server, and verifies it — the same machinery that stands up the whole Agent OS, narrowed to just this package. Ask your agent to "deploy aris-mcp with agent-os-genesis".

Install mode Command
Bare-metal, prod (PyPI) uvx aris-mcp · or uv tool install aris-mcp
Bare-metal, dev (editable) uv pip install -e ".[all]" · or pip install -e ".[all]"
Container, prod deploy knucklessg1/aris-mcp:1.3.1 via docker-compose / swarm / podman / podman-compose / kubernetes
Container, dev (editable) deploy docker/compose.dev.yml (source-mounted at /src; edits live on restart)

Secrets are read-existing + seeded via vault_sync — you are only prompted for what's missing.

Governed capability contract

This package ships a compact canonical skill surface with specialist procedures kept as referenced workflows. The current MCP tools, skill metadata, connector_manifest.yml, ontology, mappings, shapes, fixtures, migrations, tool-schema fingerprints, and certification metadata form one versioned capability contract. Validate them together; do not rely on stale tool names or historical per-task skill wrappers.

Runtime endpoints, credentials, certificate trust, tenant identity, retention, and observability policy are deployment inputs and are never packaged values. See Configuration, trust, and privacy before enabling a network transport, connector ingestion, Arbora delegation, or trace export.

from github.com/Knuckles-Team/aris-mcp

Установка Aris

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/Knuckles-Team/aris-mcp

FAQ

Aris MCP бесплатный?

Да, Aris MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Aris?

Нет, Aris работает без API-ключей и переменных окружения.

Aris — hosted или self-hosted?

Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.

Как установить Aris в Claude Desktop, Claude Code или Cursor?

Открой Aris на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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