archimate-mcp 1.0.1

ArchiMate model engine + MCP Server + A2A Server for Agentic AI!

archimate-mcp

A self-contained ArchiMate model engine exposed as a Model Context Protocol (MCP) server and an A2A agent. It gives AI agents full ArchiMate 3.x authoring capabilities — create/load/save models, full CRUD on elements, relationships, folders, and views (diagrams), query/traverse the model, and import/export the Open Group Model Exchange File Format so the models open directly in Archi.

Archi has no native server API, so archimate-mcp ships its own dependency-light engine built on the Python standard library (xml.etree.ElementTree).

Documentation — Installation, deployment, usage across the API, CLI, and MCP interfaces, and the A2A agent server are maintained in the official documentation.

Table of Contents

• Overview
• Installation
• Usage
• Architecture
• Deployment
• Environment Variables
• MCP Tools

Overview

archimate-mcp exposes a standardized interface for authoring ArchiMate models via the Model Context Protocol. The full ArchiMate vocabulary (Strategy, Business, Application, Technology, Physical, Motivation, Implementation layers) and all relationship types are supported, with structural validation and round-trip Open Exchange Format serialization.

Installation

Pick the extra that matches what you want to run:

Extra	Installs	Use when
archimate-mcp[mcp]	Slim MCP server only (agent-utilities[mcp] — FastMCP/FastAPI)	You only run the MCP server (smallest install / image)
archimate-mcp[agent]	Full agent runtime (agent-utilities[agent,logfire] — Pydantic AI + the epistemic-graph engine)	You run the integrated agent
archimate-mcp[all]	Everything (mcp + agent + logfire)	Development / both surfaces

# MCP server only (recommended for tool hosting — slim deps)
uv pip install "archimate-mcp[mcp]"

# Full agent runtime (Pydantic AI + epistemic-graph engine)
uv pip install "archimate-mcp[agent]"

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

Container images (:mcp vs :agent)

One multi-stage docker/Dockerfile builds two right-sized images, selected by --target:

Image tag	Build target	Contents	Entrypoint
knucklessg1/archimate-mcp:mcp	--target mcp	archimate-mcp[mcp] — slim, no engine/pydantic-ai/dspy/llama-index/tree-sitter	archimate-mcp
knucklessg1/archimate-mcp:latest	--target agent (default)	archimate-mcp[agent] — full agent runtime + epistemic-graph engine	archimate-agent

docker build --target mcp   -t knucklessg1/archimate-mcp:mcp    docker/   # slim MCP server
docker build --target agent -t knucklessg1/archimate-mcp:latest docker/   # full agent

docker/mcp.compose.yml runs the slim :mcp server; docker/agent.compose.yml runs the agent (:latest) with a co-located :mcp sidecar.

Knowledge-graph database (epistemic-graph)

The full agent ([agent] / :latest) embeds the epistemic-graph engine (pulled in transitively via agent-utilities[agent]). 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.

Usage

Run the MCP server directly:

archimate-mcp

Or run the agent server:

archimate-agent

Architecture

See /docs for architectural diagrams and further documentation. The model engine lives in archimate_mcp/api/ (archimate_model.py, api_client_archi.py), the MCP tools in archimate_mcp/mcp/mcp_archi.py.

Deployment

Bare-metal

archimate-agent

Docker

docker build -f docker/Dockerfile -t archimate-mcp .

Additional Deployment Options

archimate-mcp can also run as a local container (Docker / Podman / uv) or be consumed from a remote deployment. The Deployment guide has full, copy-paste mcp_config.json for all four transports — stdio, streamable-http, local container / uv, and remote URL:

• Local container / uv — launch the server from mcp_config.json via uvx, docker run, or podman run, or point at a local streamable-http container by url.
• Remote URL — connect to a server deployed behind Caddy at http://archimate-mcp.arpa/mcp using the "url" key.

Environment Variables

Package environment variables

Variable	Example	Description
ARCHI_MODEL_PATH	./model.archimate
ARCHITOOL	True

Inherited agent-utilities variables (apply to every connector)

Variable	Example	Description
TRANSPORT	stdio	MCP transport: stdio
HOST	0.0.0.0	Bind host (HTTP transports)
PORT	8000	Bind port (HTTP transports)
MCP_TOOL_MODE	condensed	Tool surface: condensed
MCP_ENABLED_TOOLS	—	Comma-separated tool allow-list
MCP_DISABLED_TOOLS	—	Comma-separated tool deny-list
MCP_ENABLED_TAGS	—	Comma-separated tag allow-list
MCP_DISABLED_TAGS	—	Comma-separated tag deny-list
EUNOMIA_TYPE	none	Authorization mode: none
EUNOMIA_POLICY_FILE	mcp_policies.json	Embedded Eunomia policy file
EUNOMIA_REMOTE_URL	—	Remote Eunomia authorization server URL
ENABLE_OTEL	False	Enable OpenTelemetry export
OTEL_EXPORTER_OTLP_ENDPOINT	—	OTLP collector endpoint
MCP_CLIENT_AUTH	—	Outbound MCP auth (oidc-client-credentials for fleet calls)
OIDC_CLIENT_ID	—	OIDC client id (service-account auth)
OIDC_CLIENT_SECRET	—	OIDC client secret (service-account auth)
DEBUG	False	Verbose logging
PYTHONUNBUFFERED	1	Unbuffered stdout (recommended in containers)
MCP_URL	http://localhost:8000/mcp	URL of the MCP server the agent connects to
PROVIDER	openai	LLM provider for the agent
MODEL_ID	gpt-4o	Model id for the agent
ENABLE_WEB_UI	True	Serve the AG-UI web interface

2 package + 22 inherited variable(s). Auto-generated from .env.example + the shared agent-utilities set — do not edit.

Every variable the server reads, grouped by concern.

Model & engine

Variable	Description	Default
ARCHI_MODEL_PATH	Path to the working model file (Open Exchange Format)	./model.archimate

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 single action-routed tool family can be disabled via its toggle env var (set to false). The toggle is in the MCP Tools table below (ARCHITOOL).

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

MCP Tools

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

Condensed action-routed tools (default — MCP_TOOL_MODE=condensed)

MCP Tool	Toggle Env Var	Description
archi_element	ARCHITOOL	Create, read, update, delete, list, or search elements.
archi_folder	ARCHITOOL	Manage organizations (folders) and place items in them.
archi_model	ARCHITOOL	Manage the model lifecycle and Open Exchange import/export.
archi_query	ARCHITOOL	Traverse and introspect the model and its vocabulary.
archi_relationship	ARCHITOOL	Create, read, update, delete, list, or validate relationships.
archi_view	ARCHITOOL	Create views (diagrams) and place elements/connections on them.

Verbose 1:1 API-mapped tools (MCP_TOOL_MODE=verbose or both)

31 per-operation tools — one per public API method (click to expand)

MCP Tool	Toggle Env Var	Description
archimate_add_connection_to_view	ARCHI_APITOOL	Invoke the add_connection_to_view operation.
archimate_add_element	ARCHI_APITOOL	Invoke the add_element operation.
archimate_add_element_to_view	ARCHI_APITOOL	Invoke the add_element_to_view operation.
archimate_add_folder	ARCHI_APITOOL	Invoke the add_folder operation.
archimate_add_relationship	ARCHI_APITOOL	Invoke the add_relationship operation.
archimate_create_view	ARCHI_APITOOL	Invoke the create_view operation.
archimate_delete_element	ARCHI_APITOOL	Invoke the delete_element operation.
archimate_delete_relationship	ARCHI_APITOOL	Invoke the delete_relationship operation.
archimate_element_types	ARCHI_APITOOL	Invoke the element_types operation.
archimate_elements_by_type	ARCHI_APITOOL	Invoke the elements_by_type operation.
archimate_export_open_exchange	ARCHI_APITOOL	Invoke the export_open_exchange operation.
archimate_find_elements	ARCHI_APITOOL	Invoke the find_elements operation.
archimate_get_element	ARCHI_APITOOL	Invoke the get_element operation.
archimate_get_relationship	ARCHI_APITOOL	Invoke the get_relationship operation.
archimate_get_view	ARCHI_APITOOL	Invoke the get_view operation.
archimate_import_open_exchange	ARCHI_APITOOL	Invoke the import_open_exchange operation.
archimate_list_elements	ARCHI_APITOOL	Invoke the list_elements operation.
archimate_list_folders	ARCHI_APITOOL	Invoke the list_folders operation.
archimate_list_relationships	ARCHI_APITOOL	Invoke the list_relationships operation.
archimate_list_views	ARCHI_APITOOL	Invoke the list_views operation.
archimate_load	ARCHI_APITOOL	Invoke the load operation.
archimate_model_summary	ARCHI_APITOOL	Invoke the model_summary operation.
archimate_move_to_folder	ARCHI_APITOOL	Invoke the move_to_folder operation.
archimate_neighbors	ARCHI_APITOOL	Invoke the neighbors operation.
archimate_new_model	ARCHI_APITOOL	Invoke the new_model operation.
archimate_relationship_types	ARCHI_APITOOL	Invoke the relationship_types operation.
archimate_relationships_of	ARCHI_APITOOL	Invoke the relationships_of operation.
archimate_save	ARCHI_APITOOL	Invoke the save operation.
archimate_update_element	ARCHI_APITOOL	Invoke the update_element operation.
archimate_update_relationship	ARCHI_APITOOL	Invoke the update_relationship operation.
archimate_validate_relationship	ARCHI_APITOOL	Return True if type is plausible between the given endpoints.

6 action-routed tool(s) (default) · 31 verbose 1:1 tool(s). Each is enabled unless its <DOMAIN>TOOL toggle is set false; MCP_TOOL_MODE selects the surface (condensed default · verbose 1:1 · both). Auto-generated — do not edit.

Documentation

The complete documentation is published as the official documentation site and is the recommended reference for installation, deployment, and day-to-day operation.

Page	Contents
Installation	pip, source, extras, prebuilt Docker image
Deployment	run the MCP and agent servers, Compose, Caddy + Technitium, env config
Usage	the MCP tools, the ArchiApi client, the CLI
Overview	the model engine, layered façade, MCP/A2A surface
Concepts	concept registry (CONCEPT:ARCHI-*)

AGENTS.md is the canonical contributor/agent guidance.

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 archimate-mcp with agent-os-genesis".

Install mode	Command
Bare-metal, prod (PyPI)	uvx archimate-mcp · or uv tool install archimate-mcp
Bare-metal, dev (editable)	uv pip install -e ".[all]" · or pip install -e ".[all]"
Container, prod	deploy knucklessg1/archimate-mcp:latest 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.