dcc-mcp-fpt

dcc-mcp-fpt

Bridges AI assistants to Autodesk ShotGrid (Flow Production Tracking) data, enabling CRUD, search, batch operations, and schema exploration via typed MCP tools with progressive loading.

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dcc-mcp-fpt

ShotGrid (Flow Production Tracking) adapter for the DCC-MCP ecosystem.

CI License: MIT Python

Bridges AI assistants (Claude, Cursor, VS Code Copilot) to ShotGrid data through typed, progressively-loaded MCP tools built on dcc-mcp-core.

This is a fresh re-implementation of the shotgrid-mcp-server using the dcc-mcp framework — providing the same ShotGrid integration surface with gateway routing, skill-based progressive loading, and multi-DCC observability built in.

Why Use It

Feature Description
20+ Typed Tools CRUD, search, batch, notes, schema — all with validated schemas
Progressive Loading Bootstrap tools eager-loaded; advanced tools loaded on demand
Gateway Ready Plugs into the dcc-mcp gateway for unified multi-service routing
Skill-First Every tool is a typed skill with tools.yaml, schemas, and annotations
Connection Pooling Reuses authenticated sessions for performance
Schema Caching Entity field schemas cached with configurable TTL
Multi-Transport stdio, HTTP, and ASGI — works anywhere
Docker Ready Single-command container deployment

Quick Start

Install

pip install dcc-mcp-fpt

Or with uv:

uv pip install dcc-mcp-fpt

Configure

Set your ShotGrid credentials:

export SHOTGRID_URL="https://mysite.shotgrid.autodesk.com"
export SHOTGRID_SCRIPT_NAME="my_script_name"
export SHOTGRID_SCRIPT_KEY="my_script_key"
export SHOTGRID_PROJECT="my_project_code"
export SHOTGRID_PERMISSION_LEVEL="read"

Run Locally

The shortest local path is:

uvx dcc-mcp-fpt

By default this starts the adapter at http://127.0.0.1:8765/mcp and enables the dcc-mcp gateway on http://127.0.0.1:9765/mcp. If a healthy gateway is already running on that port, this FPT adapter registers into it; otherwise the core gateway election path can own the gateway port for the local session.

Use standalone mode only when you do not want gateway registration:

uvx dcc-mcp-fpt --no-gateway
# Same as: uvx dcc-mcp-fpt --gateway-port 0

Development checkout:

python -m dcc_mcp_fpt
just serve-gateway
just serve-standalone

ASGI mode for uvicorn/gunicorn remains available:

uvicorn dcc_mcp_fpt.asgi:app --host 0.0.0.0 --port 8000

IDE MCP Config

For IDEs that support Streamable HTTP MCP, point the IDE at the gateway URL:

{
  "mcpServers": {
    "shotgrid": {
      "url": "http://127.0.0.1:9765/mcp"
    }
  }
}

If your IDE only supports stdio MCP, use uvx directly:

{
  "mcpServers": {
    "shotgrid": {
      "command": "uvx",
      "args": ["dcc-mcp-fpt", "stdio", "--no-gateway"],
      "env": {
        "SHOTGRID_URL": "https://mysite.shotgrid.autodesk.com",
        "SHOTGRID_SCRIPT_NAME": "my_script_name",
        "SHOTGRID_SCRIPT_KEY": "my_script_key",
        "SHOTGRID_PROJECT": "my_project_code",
        "SHOTGRID_PERMISSION_LEVEL": "read"
      }
    }
  }
}

mcpcall

After uvx dcc-mcp-fpt is running, smoke-test through the gateway:

mcpcall doctor --url http://127.0.0.1:9765/mcp --json
mcpcall list --url http://127.0.0.1:9765/mcp --json
mcpcall call --url http://127.0.0.1:9765/mcp shotgrid-discovery__check_connection
mcpcall call --url http://127.0.0.1:9765/mcp shotgrid-discovery__get_server_info

You can also import the same mcpServers JSON used by your IDE:

mcpcall config import --from ./mcp.json --output ./mcpcall.json
mcpcall list --config ./mcpcall.json --server shotgrid --json

Tool Surface

Bootstrap (eager-loaded)

Skill Tools
shotgrid-discovery check_connection, list_entity_types, get_server_info
shotgrid-setup generate_agent_config, validate_runtime_config
shotgrid-schema get_schema, get_field_schema, list_entity_types

Scene (loaded on demand)

Skill Tools
shotgrid-crud find_entities, find_one_entity, create_entity, update_entity, delete_entity
shotgrid-search search_entities, search_by_name

Authoring

Skill Tools
shotgrid-note create_note, find_notes, update_note

Pipeline

Skill Tools
shotgrid-batch batch_operations

Architecture

AI Agent (Claude, Cursor, Copilot)
        │
        │ MCP Protocol (stdio / HTTP / ASGI)
        ▼
┌───────────────────────────────┐
│     ShotGridMcpServer         │
│   (DccServerBase adapter)     │
│                               │
│  ┌─────────────────────────┐  │
│  │   Skill Catalog          │  │
│  │  (progressive loading)   │  │
│  └───────────┬─────────────┘  │
│              │                │
│  ┌───────────▼─────────────┐  │
│  │   HostExecutionBridge    │  │
│  │   → ShotGridClient       │  │
│  └───────────┬─────────────┘  │
│              │                │
│  ┌───────────▼─────────────┐  │
│  │  ConnectionPool          │  │
│  │  SchemaCache             │  │
│  └───────────┬─────────────┘  │
└──────────────┼────────────────┘
               │
               │ shotgun_api3 (REST)
               ▼
     ┌─────────────────┐
     │  ShotGrid API    │
     │  (Autodesk FPT)  │
     └─────────────────┘

Configuration

Variable Required Description
SHOTGRID_URL Yes ShotGrid server URL
SHOTGRID_SCRIPT_NAME Yes Script/API user name
SHOTGRID_SCRIPT_KEY Yes Script/API user key
SHOTGRID_PROJECT No Default project name, code, or tank name for scoped tools
SHOTGRID_PROJECT_ID No Default project ID; overrides SHOTGRID_PROJECT when set
SHOTGRID_PERMISSION_LEVEL No Fallback permission level: read, write, or admin
SHOTGRID_PROJECT_PERMISSIONS No JSON or CSV per-project permission allowlist
SHOTGRID_READ_ONLY No Set to 1 to block create/update/delete regardless of level
DCC_MCP_GATEWAY_PORT No dcc-mcp gateway port; set 0 to run standalone
DCC_MCP_REGISTRY_DIR No Shared gateway registry directory
DCC_MCP_FPT_GATEWAY_SCENE No Gateway context label; defaults to project:<SHOTGRID_PROJECT>
DCC_MCP_FPT_GATEWAY_DISPLAY_NAME No Human-readable label shown in gateway/admin surfaces
DCC_MCP_FPT_ENABLE_GATEWAY_FAILOVER No Set 0 to disable core gateway election/failover
DCC_MCP_FPT_SKILL_PATHS No FPT-specific custom skill roots (; on Windows, : on Unix)
DCC_MCP_SKILL_PATHS No Global custom skill roots shared by all dcc-mcp adapters
DCC_MCP_SHOTGRID_MINIMAL No Comma-separated minimal mode skill list
DCC_MCP_SHOTGRID_DEFAULT_TOOLS No Comma-separated default tools to activate

Project Scoping and Permissions

CRUD and batch tools accept optional project, project_id, and project_scoped inputs. When a default project is configured, reads add a ShotGrid project filter, creates inject data.project when missing, and updates/deletes validate project ownership before mutating data.

Permission levels are intentionally simple:

Level Allows
read find, find_one, schema, connection checks
write read plus create/update and non-delete batch items
admin write plus delete/retire

Examples:

export SHOTGRID_PROJECT="my_project_code"
export SHOTGRID_PERMISSION_LEVEL="write"
export SHOTGRID_PROJECT_PERMISSIONS='{"my_project_code":"write","id:456":"read"}'

Gateway Integration

The adapter uses the same DccServerOptions.from_env(...) gateway contract as the Maya, Blender, Houdini, and 3ds Max adapters. When DCC_MCP_GATEWAY_PORT or --gateway-port is set to a positive value, the server publishes an FPT runtime entry with a safe display name, project-aware scene label, version, and gateway election diagnostics.

export SHOTGRID_PROJECT="my_project_code"
export DCC_MCP_GATEWAY_PORT=9765
export DCC_MCP_FPT_GATEWAY_DISPLAY_NAME="FPT my_project_code"

just serve-gateway

Use --gateway-port 0 or just serve-standalone for local standalone testing. The shotgrid-discovery__get_server_info tool includes a gateway diagnostics object so agents and CI can confirm whether this instance joined the gateway.

Request-Scoped Credentials

HTTP MCP clients do not inject mcp.json.env into an already-running Gateway. For shared Gateway deployments, keep ShotGrid secrets in adapter-side profiles and pass request context through MCP _meta. With core PIP-520, caller identity lives under _meta.agent_context, while credential and policy controls are bounded top-level _meta fields:

{
  "_meta": {
    "agent_context": {
      "requester_id": "hallong",
      "requester_type": "human"
    },
    "credential_profile": "sg-read-zombie",
    "permission_hint": "read",
    "project_scope": "my_project_code"
  }
}

Legacy clients that still send credential_profile, permission_hint, or project_scope inside _meta.agent_context remain supported as a fallback, but new agents should use the PIP-520 top-level _meta shape above.

Profiles can be supplied as JSON in DCC_MCP_FPT_CREDENTIAL_PROFILES or from a JSON file via DCC_MCP_FPT_CREDENTIAL_PROFILES_FILE:

{
  "sg-read-zombie": {
    "url": "https://mysite.shotgrid.autodesk.com",
    "script_name": "sg_read_bot",
    "script_key": "<secret stored outside chat>",
    "permission_level": "read",
    "read_only": true,
    "project": "my_project_code"
  }
}

permission_hint can only reduce the effective policy. It is merged with the env/profile policy by minimum permission, so an agent cannot turn a read profile into write/admin. Inline credentials are rejected unless DCC_MCP_ALLOW_INLINE_CREDENTIALS=1 is set for local development.

Agent Setup Skill

shotgrid-setup is eager-loaded so agents can bootstrap configuration without guessing repo conventions:

mcpcall call --url http://127.0.0.1:9765/mcp shotgrid-setup__validate_runtime_config
mcpcall call --url http://127.0.0.1:9765/mcp shotgrid-setup__generate_agent_config target=all

The generated config includes uvx dcc-mcp-fpt, HTTP/stdio IDE snippets, mcpcall commands, Docker examples, and custom skill path environment variables. Secret values are redacted by default.

Custom Skills

Point DCC_MCP_FPT_SKILL_PATHS at a skill package directory or a parent directory containing multiple skill package folders:

# Windows uses semicolon between multiple roots.
set DCC_MCP_FPT_SKILL_PATHS=C:\studio\fpt-skills;C:\show\fpt-skills

# Linux/macOS uses colon.
export DCC_MCP_FPT_SKILL_PATHS=/studio/fpt-skills:/show/fpt-skills

uvx dcc-mcp-fpt

Use DCC_MCP_SKILL_PATHS for shared cross-adapter skills. The gateway admin skill path registry is also picked up by dcc-mcp-core on startup/reload.

Container Deployment

Build and run locally:

docker build -t dcc-mcp-fpt .
docker run --rm \
  -p 8765:8765 \
  -p 9765:9765 \
  --env-file .env \
  dcc-mcp-fpt

Inject custom skills by mounting a directory to /skills; the image sets DCC_MCP_FPT_SKILL_PATHS=/skills by default:

docker run --rm \
  -p 8765:8765 \
  -p 9765:9765 \
  --env-file .env \
  -v /studio/fpt-skills:/skills:ro \
  dcc-mcp-fpt

Minimal compose:

services:
  dcc-mcp-fpt:
    image: dcc-mcp-fpt
    ports:
      - "8765:8765"
      - "9765:9765"
    env_file:
      - .env
    volumes:
      - /studio/fpt-skills:/skills:ro

Development

git clone https://github.com/dcc-mcp/dcc-mcp-fpt.git
cd dcc-mcp-fpt

# Install with dev deps
uv pip install -e ".[dev]"

# Run tests
pytest --cov=src/dcc_mcp_fpt --cov-report=term

# Lint
ruff check src/ tests/

# Format
ruff format src/ tests/

Local Live CRUD Smoke

Copy .env.example to .env, fill in local credentials, and keep the file untracked. The dry-run command verifies configuration and skips mutations:

just install-dev
just live-crud-smoke-dry

To run a real local create/find/update/delete cycle against the configured project, set an admin-capable policy for that project and run:

export SHOTGRID_PERMISSION_LEVEL="admin"
export SHOTGRID_LIVE_CRUD_CONFIRM=1
just live-crud-smoke

The smoke creates a temporary entity, updates it, and retires it on cleanup.

CI/CD

  • CI runs Python 3.8-3.12 across Linux, Windows, and macOS.
  • Lint, format check, bundled skill metadata lint, CLI smoke, package build, and Docker build are separate gates.
  • Release uses release-please, builds wheel/sdist artifacts, publishes via PyPI Trusted Publishing, and attaches the dist files to the GitHub Release.
  • Live ShotGrid Smoke is manual-only and uses GitHub Secrets; it defaults to dry-run behavior unless CRUD confirmation is enabled.

Requirements

License

MIT — see LICENSE.

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