AEP MCP Server

Two MCP servers that give Claude (and any MCP-compatible client) natural-language access to Adobe Experience Platform, Adobe Journey Optimizer, and Real-Time CDP.

Quick Start

1. Run the setup script

./setup.sh

This creates a .venv, installs all dependencies, installs the pre-commit hook, and prints the exact MCP config JSON to paste — including the correct absolute venv Python path for your machine.

Windows: run the steps manually — python3 -m venv .venv, .venv\Scripts\activate, pip install -r requirements.txt.

2. Configure credentials

Fill in your credentials from Adobe Developer Console → Project → OAuth Server-to-Server:

# orgs.json was created by setup.sh — edit it now

Or use environment variables (single-org fallback):

cp .env.example .env
# edit .env

3. Register with Claude Code

Paste the JSON printed by setup.sh into .claude/mcp_servers.json, for example:

{
  "aep": {
    "command": "/path/to/aep-mcp-server/.venv/bin/python",
    "args": ["/path/to/aep-mcp-server/server.py"]
  }
}

Always use the venv Python path — MCP clients launch the server outside any active shell, so bare python3 won't find the installed packages.

4. Run

python3 server.py                        # AEP server, default org profile
AEP_PROFILE=MyClient python3 server.py  # start with a specific profile

Related MCP server: Fourth Brain Demo

Multi-Org Configuration

orgs.json supports multiple named profiles — useful when working across different Adobe orgs or sandboxes:

{
  "default": "ClientA",
  "profiles": {
    "ClientA": {
      "client_id": "...",
      "client_secret": "...",
      "api_key": "...",
      "org_id": "XXXX@AdobeOrg",
      "sandbox": "prod",
      "sandboxes": {
        "dev": "my-sandbox-dev",
        "prod": "my-sandbox-prod"
      }
    },
    "ClientB": {
      "client_id": "...",
      "client_secret": "...",
      "api_key": "...",
      "org_id": "YYYY@AdobeOrg",
      "sandbox": "prod"
    }
  }
}

Switch orgs at runtime with the switch_org_profile tool or by setting AEP_PROFILE at startup. Token caches are maintained per profile.

Server 1 — AEP MCP (server.py)

Built with FastMCP. All tools accept an optional sandbox parameter; if omitted, the active profile's default sandbox is used.

Datasets & Batches

list_datasets · get_dataset · create_dataset · get_batch · list_batches · get_sandbox · list_sandboxes · reset_sandbox

XDM Schema Registry

list_schemas · get_schema · create_schema · enable_schema_for_profile · list_field_groups · get_field_group · create_field_group · list_classes · list_data_types · list_descriptors · create_descriptor

Real-Time Customer Profile & Identity

get_profile_by_identity · get_identity_cluster · list_identity_namespaces · get_identity_namespace · list_merge_policies · list_profile_export_jobs · get_profile_export_job

Segmentation / Audiences

list_segments · get_segment · create_segment · delete_segment · list_segment_jobs · get_segment_job · create_segment_job · list_streaming_jobs

Query Service

list_queries · get_query · run_query · cancel_query · list_query_runs · list_query_templates · get_query_template · create_query_template · list_scheduled_queries

AJO — Journeys & Campaigns

list_journeys · get_journey · list_journey_versions · list_campaigns · get_campaign

AJO — Offer Decisioning

list_offers · get_offer · list_placements · list_collections · list_offer_activities · get_offer_activity · list_ranking_formulas · create_eligibility_rule

Flow Service (Sources & Destinations)

list_connections · get_connection · list_connection_specs · get_connection_spec · list_dataflows · get_dataflow · list_flow_runs · get_flow_run · list_source_connections · get_source_connection · list_target_connections · get_target_connection

Observability Insights & Alerts

get_metrics · list_alert_subscriptions · get_alert_subscription · get_alerts_by_feature · list_alert_notifications · subscribe_alert

Data Hygiene

list_dataset_expirations · get_dataset_expiration · create_dataset_expiration · cancel_dataset_expiration · list_record_delete_orders · get_record_delete_order · create_record_delete_order · get_hygiene_quota

Data Prep (Mapping)

list_mapping_sets · get_mapping_set · create_mapping_set · preview_mapping_set · list_mappings · get_mapping · validate_mapping_expression · list_data_prep_functions

Computed Attributes

list_computed_attributes · get_computed_attribute · create_computed_attribute · update_computed_attribute

Access Control (ABAC)

list_roles · get_role · list_role_subjects · list_role_policies · list_policies · get_policy · get_effective_policies · list_available_permissions · list_users · get_user_roles

Customer Journey Analytics (CJA)

CJA tools use a Data View ID instead of a sandbox.

cja_list_connections · cja_get_connection · cja_list_data_views · cja_get_data_view · cja_list_dimensions · cja_list_metrics · cja_list_projects · cja_get_project · cja_create_project · cja_update_project · cja_delete_project · cja_list_filters · cja_get_filter · cja_create_filter · cja_update_filter · cja_delete_filter · cja_list_calculated_metrics · cja_get_calculated_metric · cja_create_calculated_metric · cja_update_calculated_metric · cja_delete_calculated_metric · cja_list_annotations · cja_create_annotation · cja_delete_annotation · cja_run_report

Org & Multi-Org Management

list_org_profiles · get_current_org · switch_org_profile · switch_sandbox

Server 2 — RT-CDP Proxy (rtcdp_proxy.py)

A lightweight stdio→HTTPS proxy that forwards tool calls to Adobe's official Real-Time CDP MCP server at rtcdp-mcp.adobe.io. Auth headers are sourced from the active orgs.json profile, so switch_org_profile works across both servers.

Configure the upstream URL via .env (optional — defaults to Adobe's endpoint):

RTCDP_MCP_URL=https://rtcdp-mcp.adobe.io/mcp

Note: Adobe's RT-CDP MCP server is a gated feature. Contact your Adobe representative for access.

Tools (proxied from Adobe)

search_audiences · preview_audience_membership · inspect_audience_evaluation_jobs · inspect_audience_export_jobs · search_destination_connectors · search_destination_accounts · search_destination_flows · search_destination_input_connections · search_destination_output_connections · search_source_connectors · search_source_accounts · search_source_flows · search_source_input_connections · search_source_output_connections · search_identity_namespaces · search_merge_policies · search_organizations · inspect_flow_runs

Project Layout

server.py                  # AEP FastMCP entrypoint
rtcdp_proxy.py             # RT-CDP stdio→HTTPS proxy
auth.py                    # Auth + HTTP helpers; multi-org profile state
orgs.json                  # Your credentials — GITIGNORED, never commit
orgs.example.json          # Template for orgs.json
.env / .env.example        # Fallback single-org config
requirements.txt
hooks/pre-commit           # Blocks credential commits
scripts/install_hooks.py   # Installs the pre-commit hook
tools/
  datasets.py              # Catalog Service: datasets, batches, sandboxes
  schemas.py               # Schema Registry: XDM schemas, classes, field groups
  profiles.py              # Real-Time Customer Profile, identity, merge policies
  segments.py              # Segmentation: definitions, jobs, streaming
  query.py                 # Query Service: ad-hoc SQL, templates, scheduled
  ajo.py                   # AJO: journeys, campaigns, offers, eligibility rules
  cja.py                   # Customer Journey Analytics
  flows.py                 # Flow Service: connections, dataflows, flow runs
  observability.py         # Observability Insights: metrics, alerts
  data_hygiene.py          # Data Hygiene: dataset TTL, record deletes
  data_prep.py             # Data Prep: mapping sets, expression validation
  computed_attributes.py   # Computed Attributes
  access_control.py        # ABAC: roles, permissions, effective policies
  orgs.py                  # Multi-org: list/switch profiles and sandboxes
  usage_logger.py          # @track decorator — logs tool calls to CSV

Adding a New Tool Module

1. Create tools/new_domain.py with a register(mcp) function

2. Add to server.py: import it and call new_domain.register(mcp)

3. Follow the tool pattern in CLAUDE.md

Auth Flow

auth.py checks orgs.json profiles first, then falls back to .env environment variables.

• OAuth S2S (recommended): set client_id + client_secret — token auto-refreshes before expiry

• Static token (dev/testing): set access_token — no auto-refresh

Requirements

mcp[cli]>=1.3.0
httpx>=0.27.0
python-dotenv>=1.0.0