Postiz Agent

CLI or API | MCP | Agent

Version: 2.0.0

Documentation — Installation, deployment, usage across the API, CLI, and MCP interfaces, and guidance for provisioning a self-hosted Postiz instance are maintained in the official documentation.

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Overview

Postiz Agent is a production-grade Agent and Model Context Protocol (MCP) server designed to interface directly with Agent for interacting with Postiz Public API.

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Key Features

• Consolidated Action-Routed MCP Tools: Minimizes token overhead and eliminates tool bloat in LLM contexts by grouping methods into optimized, togglable tool modules.
• Enterprise-Grade Security: Comprehensive support for Eunomia policies, OIDC token delegation, and granular execution context tracking.
• Integrated Graph Agent: Built-in Pydantic AI agent supporting the Agent Control Protocol (ACP) and standard Web interfaces (AG-UI).
• Native Telemetry & Tracing: Out-of-the-box OpenTelemetry exports and native Langfuse tracing.

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CLI or API

This agent wraps the Agent for interacting with Postiz Public API API. You can interact with it programmatically or via its integrated execution entrypoints.

Detailed instructions on how to use the underlying API wrappers, extended schema bindings, and developer SDK references are maintained in docs/index.md.

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MCP

This server utilizes dynamic Action-Routed tools to optimize token overhead and maximize IDE compatibility.

Available MCP Tools

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

Condensed action-routed tools (MCP_TOOL_MODE=condensed)

MCP Tool	Toggle Env Var	Description
postiz_analytics	ANALYTICSTOOL	Manage postiz analytics operations.
postiz_ingest_analytics	INGESTTOOL	Natively ingest Postiz analytics as :DailyEngagement / :AggregatedEngagement time-series.
postiz_ingest_integrations	INGESTTOOL	Natively ingest Postiz integrations into epistemic-graph as :SocialChannel nodes.
postiz_ingest_posts	INGESTTOOL	Natively ingest Postiz posts into epistemic-graph as typed :SocialPost nodes.
postiz_integrations	INTEGRATIONSTOOL	Manage postiz integrations operations.
postiz_notifications	NOTIFICATIONSTOOL	Manage postiz notifications operations.
postiz_posts	POSTSTOOL	Manage postiz posts operations.
postiz_uploads	UPLOADSTOOL	Manage postiz uploads operations.
postiz_video	VIDEOTOOL	Manage postiz video operations.

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

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

MCP Tool	Toggle Env Var	Description
postiz_check_connection	INTEGRATIONS_CLIENTTOOL	Invoke the postiz_check_connection operation.
postiz_create_post	POSTS_CLIENTTOOL	Invoke the postiz_create_post operation.
postiz_delete_channel	INTEGRATIONS_CLIENTTOOL	Invoke the postiz_delete_channel operation.
postiz_delete_post	POSTS_CLIENTTOOL	Invoke the postiz_delete_post operation.
postiz_delete_post_by_group	POSTS_CLIENTTOOL	Invoke the postiz_delete_post_by_group operation.
postiz_find_slot	INTEGRATIONS_CLIENTTOOL	Invoke the postiz_find_slot operation.
postiz_generate_video	VIDEO_CLIENTTOOL	Invoke the postiz_generate_video operation.
postiz_get_analytics	ANALYTICS_CLIENTTOOL	Invoke the postiz_get_analytics operation.
postiz_get_integration_url	INTEGRATIONS_CLIENTTOOL	Invoke the postiz_get_integration_url operation.
postiz_get_missing_content	POSTS_CLIENTTOOL	Invoke the postiz_get_missing_content operation.
postiz_get_post_analytics	ANALYTICS_CLIENTTOOL	Invoke the postiz_get_post_analytics operation.
postiz_list_integrations	INTEGRATIONS_CLIENTTOOL	Invoke the postiz_list_integrations operation.
postiz_list_notifications	NOTIFICATIONS_CLIENTTOOL	Invoke the postiz_list_notifications operation.
postiz_list_posts	POSTS_CLIENTTOOL	Invoke the postiz_list_posts operation.
postiz_update_release_id	POSTS_CLIENTTOOL	Invoke the postiz_update_release_id operation.
postiz_upload_file	UPLOADS_CLIENTTOOL	Invoke the postiz_upload_file operation.
postiz_upload_from_url	UPLOADS_CLIENTTOOL	Invoke the postiz_upload_from_url operation.
postiz_video_function	VIDEO_CLIENTTOOL	Invoke the postiz_video_function operation.

9 action-routed tool(s) · 18 verbose 1:1 tool(s). Each is enabled unless its <DOMAIN>TOOL toggle is set false; MCP_TOOL_MODE selects the surface (intent default — the six verb-tools, granular set loaded on demand · condensed action-routed · verbose 1:1 · both). Auto-generated — do not edit.

Detailed tool schemas, parameter shapes, and validation constraints are preserved in docs/usage.md.

Dynamic Tool Selection & Visibility

This MCP server supports dynamic toolset selection and visibility filtering at runtime. This allows you to restrict the set of exposed tools in order to prevent blowing up the LLM's context window.

You can configure tool filtering via multiple input channels:

• CLI Arguments: Pass --tools or --toolsets (or their disabled counterparts --disabled-tools and --disabled-toolsets) during startup.
• Environment Variables: Define standard environment variables:
  • MCP_ENABLED_TOOLS / MCP_DISABLED_TOOLS
  • MCP_ENABLED_TAGS / MCP_DISABLED_TAGS
• HTTP SSE Request Headers: Pass custom headers during transport initialization:
  • x-mcp-enabled-tools / x-mcp-disabled-tools
  • x-mcp-enabled-tags / x-mcp-disabled-tags
• HTTP SSE Request Query Parameters: Append query parameters directly to your transport connection URL:
  • ?tools=tool1,tool2
  • ?tags=tag1

When query strings or parameters are supplied, an LLM-free Knowledge Graph resolution layer (using DynamicToolOrchestrator) matches query intents against known tool tags, names, or descriptions, with safe fallback and automated 24-hour background cache refreshing.

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MCP Configuration Examples

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

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

{
  "mcpServers": {
    "postiz-mcp": {
      "command": "uvx",
      "args": [
        "--from",
        "postiz-agent[mcp]",
        "postiz-mcp"
      ],
      "env": {
        "MCP_TOOL_MODE": "intent",
        "ANALYTICSTOOL": "True",
        "INGESTTOOL": "True",
        "INTEGRATIONSTOOL": "True",
        "NOTIFICATIONSTOOL": "True",
        "POSTIZ_KG_INGEST": "1",
        "POSTSTOOL": "True",
        "UPLOADSTOOL": "True",
        "VIDEOTOOL": "True"
      }
    }
  }
}

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

Streamable-HTTP Transport (networked / production)

{
  "mcpServers": {
    "postiz-mcp": {
      "command": "uvx",
      "args": [
        "--from",
        "postiz-agent[mcp]",
        "postiz-mcp",
        "--transport",
        "streamable-http",
        "--port",
        "8000"
      ],
      "env": {
        "TRANSPORT": "streamable-http",
        "HOST": "127.0.0.1",
        "PORT": "8000",
        "MCP_TOOL_MODE": "intent",
        "ANALYTICSTOOL": "True",
        "INGESTTOOL": "True",
        "INTEGRATIONSTOOL": "True",
        "NOTIFICATIONSTOOL": "True",
        "POSTIZ_KG_INGEST": "1",
        "POSTSTOOL": "True",
        "UPLOADSTOOL": "True",
        "VIDEOTOOL": "True"
      }
    }
  }
}

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

{
  "mcpServers": {
    "postiz-mcp": {
      "url": "http://localhost:8000/postiz-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 MCP_TOOL_MODE=intent \
  -e ANALYTICSTOOL=True \
  -e INGESTTOOL=True \
  -e INTEGRATIONSTOOL=True \
  -e NOTIFICATIONSTOOL=True \
  -e POSTIZ_KG_INGEST=1 \
  -e POSTSTOOL=True \
  -e UPLOADSTOOL=True \
  -e VIDEOTOOL=True \
  registry.example.invalid/postiz-agent@sha256:<digest> postiz-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 (MCP_TOOL_MODE + package vars) — do not edit.

Additional Deployment Options

postiz-agent can run as a local stdio process or container, or behind a remote network boundary. The Deployment guide carries the detailed transport contract.

• Local container — launch a reviewed immutable image as a least-privilege stdio child with no listener or published port.
• Remote URL — connect through an operator-supplied authenticated HTTPS ingress. Keep its URL, outbound identity references, trust profile, and exact MCP_ALLOWED_HOSTS in AgentConfig.

Agent

This repository features a fully integrated Pydantic AI Graph Agent. It communicates over the Agent Control Protocol (ACP) and interacts seamlessly with the Agent Web UI (AG-UI) and Terminal interface.

Running the Agent CLI

To start the interactive command-line agent:

# Set credentials
export POSTIZ_TOKEN="your_value"

# Run the agent server
postiz-agent --provider openai --model-id gpt-4o

Docker Compose Orchestration

The following docker/agent.compose.yml configures the Agent, Web UI, and Terminal Interface together:

version: '3.8'

services:
  postiz-agent-mcp:
    image: example/postiz-agent:mcp
    container_name: postiz-agent-mcp
    hostname: postiz-agent-mcp
    restart: always
    env_file:
      - ../.env
    environment:
      - PYTHONUNBUFFERED=1
      - HOST=0.0.0.0
      - PORT=8000
      - TRANSPORT=streamable-http
    ports:
      - "8000:8000"
    healthcheck:
      test: ["CMD", "python3", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:8000/health')"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 10s
    logging:
      driver: json-file
      options:
        max-size: "10m"
        max-file: "3"

  postiz-agent-agent:
    image: example/postiz-agent@sha256:<digest>
    container_name: postiz-agent-agent
    hostname: postiz-agent-agent
    restart: always
    depends_on:
      - postiz-agent-mcp
    env_file:
      - ../.env
    command: [ "postiz-agent" ]
    environment:
      - PYTHONUNBUFFERED=1
      - HOST=0.0.0.0
      - PORT=9004
      - MCP_URL=http://postiz-agent-mcp:8000/mcp
      - PROVIDER=${PROVIDER:-openai}
      - MODEL_ID=${MODEL_ID:-gpt-4o}
      - ENABLE_WEB_UI=True
      - ENABLE_OTEL=True
    ports:
      - "9004:9004"
    healthcheck:
      test: ["CMD", "python3", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:9004/health')"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 10s
    logging:
      driver: json-file
      options:
        max-size: "10m"
        max-file: "3"

Detailed graph node architecture explanations, custom skill configurations, and agentic trace guides are available in docs/deployment.md.

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Security & Governance

Built directly upon the enterprise-ready agent-utilities core, standard security parameters are fully supported:

Access Control & Policy Enforcement

• Eunomia Policies: Fine-grained, policy-driven tool authorization. Supports none, local embedded (mcp_policies.json), or centralized remote modes.
• OIDC Token Delegation: Compliant with RFC 8693 token exchange for flowing authenticating user credentials from Web UI / ACP → Agent → MCP.
• Scoped Credentials: Execution context runs restricted to the specific caller identity.

Runtime Security Grid

Feature	Functionality	Enablement
Tool Guard	Sensitivity inspection with human-in-the-loop validation	Enabled by default
Prompt Injection Defense	Input scanning, repetition monitoring, and recursive loop blocks	Enabled by default
Context Safety Guard	Stuck-loop detectors and contextual overflow preemptive alerts	Enabled by default

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Environment Variables

Package environment variables

Variable	Example	Description
HOST	0.0.0.0
PORT	8000
TRANSPORT	stdio	options: stdio, streamable-http, sse
ENABLE_OTEL	True
OTEL_EXPORTER_OTLP_ENDPOINT	http://localhost:8080/api/public/otel
OTEL_EXPORTER_OTLP_PUBLIC_KEY_REF	pk-...	Reference form only — runtime-only trust material, resolved via AgentConfig.
OTEL_EXPORTER_OTLP_SECRET_KEY_REF	sk-...
OTEL_EXPORTER_OTLP_PROTOCOL	http/protobuf
EUNOMIA_TYPE	none	options: none, embedded, remote
EUNOMIA_POLICY_FILE	mcp_policies.json
EUNOMIA_REMOTE_URL	http://eunomia-server:8000
POSTIZ_TOKEN	secret-injected
POSTIZ_URL	—
TLS_PROFILE	private-pki	TLS verification is mandatory (no boolean bypass). Select a named runtime profile from AgentConfig if your Postiz instance uses a private/internal CA.
TLS_PROFILES_REF	secret://runtime/tls-profiles
AUTH_TYPE	token
DEFAULT_AGENT_NAME	"Postiz Agent"
POSTIZ_KG_INGEST	1	default-on best-effort ingestion of posts/integrations/analytics
INTEGRATIONSTOOL	True
POSTSTOOL	True
UPLOADSTOOL	True
ANALYTICSTOOL	True
NOTIFICATIONSTOOL	True
VIDEOTOOL	True
INGESTTOOL	True

Inherited agent-utilities variables (apply to every connector)

Variable	Example	Description
MCP_TOOL_MODE	intent	Tool surface: intent | condensed | verbose | both
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
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)
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

25 package + 16 inherited variable(s). Auto-generated from .env.example + the shared agent-utilities set — do not edit.

The agent and MCP server can be configured using the following environment variables:

Variable	Description	Default / Type
HOST	Host to bind the server to (Streamable-HTTP).	0.0.0.0
PORT	Port to bind the server to.	8000
TRANSPORT	MCP communication channel style. Options: stdio, streamable-http, sse.	stdio
MCP_TOOL_MODE	Tool surface: condensed, verbose, or both.	condensed
MCP_ENABLED_TOOLS / MCP_DISABLED_TOOLS	Comma-separated tool allow/deny list.	Optional
MCP_ENABLED_TAGS / MCP_DISABLED_TAGS	Comma-separated tag allow/deny list.	Optional
PYTHONUNBUFFERED	Unbuffered stdout (recommended in containers).	1
DEFAULT_AGENT_NAME	Display name for the Pydantic AI Graph Agent.	"Postiz Agent"
AGENT_DESCRIPTION	System description metadata for the Pydantic AI Graph Agent.	Loaded from manifest
AGENT_SYSTEM_PROMPT	Custom prompt injected into the Pydantic AI Graph Agent core.	Loaded from manifest
POSTIZ_TOKEN	API authentication token used for Postiz endpoints.	Required
POSTIZ_URL	Base endpoint URL for the Postiz Public API.	Required
TLS_PROFILE	Named AgentConfig transport-security profile; verification is mandatory.	—
TLS_PROFILES_REF	Runtime secret reference for the TLS profile catalog.	—
AUTH_TYPE	Authentication method. Option: token.	token
ENABLE_OTEL	Whether to enable OpenTelemetry exporter logs.	True
OTEL_EXPORTER_OTLP_ENDPOINT	Enterprise telemetry collection OTLP target URL.	Optional
EUNOMIA_TYPE	Access control policy engine mode. Options: none, embedded, remote.	none
EUNOMIA_POLICY_FILE	Path to the local policy configuration file.	mcp_policies.json
INTEGRATIONSTOOL	Toggle to enable/disable the Integrations MCP tool group.	True
POSTSTOOL	Toggle to enable/disable the Posts MCP tool group.	True
UPLOADSTOOL	Toggle to enable/disable the Uploads MCP tool group.	True
ANALYTICSTOOL	Toggle to enable/disable the Analytics MCP tool group.	True
NOTIFICATIONSTOOL	Toggle to enable/disable the Notifications MCP tool group.	True
VIDEOTOOL	Toggle to enable/disable the Video MCP tool group.	True

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

See .env.example for a copy-paste starting point.

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Installation

Pick the extra that matches what you want to run:

Extra	Installs	Use when
postiz-agent[mcp]	Connector-focused MCP server (agent-utilities[mcp] — FastMCP/FastAPI + epistemic-graph[full])	You only run the MCP server (smallest install / image)
postiz-agent[agent]	Agent runtime (agent-utilities[agent-runtime,logfire] — model orchestration + epistemic-graph[full])	You run the integrated agent
postiz-agent[all]	Everything (mcp + agent + logfire)	Development / both surfaces

# Connector-focused MCP server (includes the shared graph engine)
uv pip install "postiz-agent[mcp]"

# Agent runtime (adds model orchestration to the shared graph engine)
uv pip install "postiz-agent[agent]"

# Everything (development)
uv pip install "postiz-agent[all]"      # or: python -m pip install "postiz-agent[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
example/postiz-agent:mcp	--target mcp	postiz-agent[mcp] — connector-focused, includes epistemic-graph[full]; no model-orchestration stack	postiz-mcp
example/postiz-agent@sha256:<digest>	--target agent (default)	postiz-agent[agent] — agent runtime, model orchestration + epistemic-graph[full]	postiz-agent

docker build --target mcp   -t example/postiz-agent:mcp    docker/   # connector-focused MCP server
docker build --target agent -t example/postiz-agent:agent-local docker/   # agent runtime

docker/mcp.compose.yml runs the connector-focused :mcp server; docker/agent.compose.yml runs the agent (immutable agent digest) with a co-located :mcp sidecar.

Knowledge-graph database (epistemic-graph)

Both [mcp] and [agent] carry the epistemic-graph engine through the required Agent Utilities core dependency (epistemic-graph[full]). The [mcp] extra keeps the server connector-focused; [agent] additionally enables model orchestration. Local deployments can use the bundled engine. For production or shared state, run epistemic-graph as a dedicated database service and configure the runtime to use it. Deployment recipes (single-node + Raft HA), connection configuration, and architecture diagrams are documented in the epistemic-graph deployment guide.

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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 PostizApi client, the CLI
Backing Platform	deploy a self-hosted Postiz instance with Docker
Overview	the connector's role, architecture, and enterprise posture
Concepts	concept registry (CONCEPT:PA-*)

AGENTS.md is the canonical contributor/agent guidance.

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Repository Owners

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Contribute

Contributions are welcome! Please ensure code quality by executing local checks before submitting pull requests:

• Format code using ruff format .
• Lint code using ruff check .
• Validate type-safety with mypy .
• Execute test suites using pytest

Deploy with agent-utilities-deployment

Provision this package with the consolidated agent-utilities-deployment workflow. It selects an installed-package, editable-source, or immutable-container path; records only runtime secret and TLS-profile references in AgentConfig; and runs doctor, registration, policy, observability, and rollback gates. Ask your agent to "deploy postiz-agent with agent-utilities-deployment".

Install mode	Command
Installed package	uv tool install "postiz-agent[mcp]", then run postiz-mcp
Editable source	uv pip install -e ".[agent]", then run postiz-mcp
Immutable container	deploy registry.example.invalid/postiz-agent@sha256:<digest> through the operator-selected orchestrator

The repository embeds no deployment profile, credential value, certificate path, or environment-specific endpoint. Supply those at runtime through AgentConfig and the configured secret provider.

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, GraphOS delegation, or trace export.