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Blender addon for the DCC Model Context Protocol (MCP) ecosystem — embeds a Streamable HTTP MCP server directly inside Blender

Project description

dcc-mcp-blender

Blender addon for the DCC Model Context Protocol (MCP) ecosystem — embeds a Streamable HTTP MCP server directly inside Blender, letting any MCP-compatible AI client drive your 3D workflow.

PyPI version PyPI - Python Version PyPI - Wheel CI E2E Blender Release PyPI Downloads GitHub release downloads GitHub Release Coverage dcc-mcp-core Blender MCP License: MIT


Overview

dcc-mcp-blender turns Blender into a first-class MCP server. Once the addon is enabled, any MCP client (Claude Desktop, custom agents, etc.) can call Blender tools over HTTP without any external gateway.

┌─────────────────────────────────┐
│  Blender (Python 3.10+)         │
├─────────────────────────────────┤
│  dcc_mcp_blender                │
│  ├─ BlenderMcpServer            │
│  ├─ SkillCatalog (150+ tools)   │
│  ├─ ActionRegistry              │
│  └─ HTTP Handlers               │
├─────────────────────────────────┤
│  dcc-mcp-core                   │
│  ├─ McpHttpServer               │
│  ├─ JSON-RPC 2.0                │
│  └─ SSE Streaming               │
└─────────────────────────────────┘
         ↓ http://127.0.0.1:8765/mcp
┌─────────────────────────────────┐
│  MCP Host (Claude / etc.)       │
└─────────────────────────────────┘

Features

  • Embedded MCP server — no external gateway needed; the server runs inside Blender's Python interpreter
  • 150+ pre-built tools — scene management, object manipulation, mesh/UV editing, rigging, pose libraries, interchange, materials, node graphs, rendering, physics, scripting and more
  • Extensible skill system — drop new skill folders alongside built-ins or point to them via env vars
  • Main-thread host adapter — GUI mode uses core HostUiDispatcherBase semantics through BlenderUiDispatcher; headless mode uses BlenderHost with a core BlockingDispatcher
  • Streamable HTTP transport — compatible with any MCP 2025-03-26 client
  • Claude Desktop ready — ship a one-line mcpServers config and you're done

Available MCP Tools

Category Tools
blender-scene new_scene, open_scene, save_scene, list_objects, get_scene_info, get_session_info
blender-objects create_object, delete_object, duplicate_object, move_object, rotate_object, scale_object, get_object_info, get_selection, set_selection, select_by_type, find_by_pattern, rename_object, parent_object, group_objects, set_visibility, get_bounding_box, center_origin, freeze_transforms
blender-mesh add_modifier, apply_modifier, list_modifiers, get_mesh_info
blender-mesh-ops get_poly_count, cleanup_mesh, triangulate_mesh, separate_mesh, combine_meshes, merge_vertices, extract_faces, mirror_mesh, select_by_material
blender-uv-ops list_uv_maps, create_uv_map, delete_uv_map, copy_uv_map, get_uv_info, get_uv_islands, project_uvs, unwrap_uvs, pack_uvs, normalize_uvs
blender-rigging create_armature, create_bone, mirror_bones, add_constraint, set_constraint_properties, bind_mesh_to_armature, add_shape_key, set_driver, retarget_animation
blender-pose-library list_poses, save_pose, load_pose
blender-interchange import_file, import_fbx, import_obj, export_gltf, export_usd, export_alembic, batch_export
blender-export-preset list_export_presets, save_export_preset, load_export_preset, delete_export_preset
blender-shot-export get_shot_info, export_camera
blender-validation run_scene_checks, validate_mesh, validate_materials, validate_animation, validate_export_readiness, get_validation_report
blender-pipeline get_asset_metadata, tag_asset_metadata, clear_asset_metadata, set_project_context, create_publish_manifest, prepare_publish_package
blender-materials create_material, assign_material, set_material_color, list_materials, delete_material
blender-shader-nodes list_material_nodes, set_principled_input, list_node_trees, list_nodes, create_node, delete_node, list_node_sockets, connect_nodes, disconnect_nodes, list_node_links, set_node_input, get_node_value, create_material_with_nodes, assign_texture_node, set_principled_inputs
blender-material-library save_material_preset, list_material_presets, load_material_preset, delete_material_preset, get_shader_assignment, get_material_connections, set_material_attribute, assign_texture, list_images, reload_image, list_color_spaces, set_color_management
blender-texture-bake list_bake_targets, bake_textures, bake_ambient_occlusion, bake_lighting, transfer_maps
blender-render render_scene, set_render_settings, get_render_info, capture_viewport
blender-scripting execute_python, execute_script_file, get_blender_info
blender-dev attach_project, reload_modules, run_check, run_entrypoint, run_script, list_addons, get_addon_status, enable_addon, disable_addon, capture_ui_snapshot, find_ui_elements, start_debug_server, get_python_environment
blender-animation set_keyframe, set_frame_range, get_frame_range, set_current_frame, get_keyframes, delete_keyframes, bake_animation
blender-lighting create_light, set_light_properties, list_lights, set_world_background
blender-light-rig create_three_point_light_rig, create_area_softbox, create_hdri_world, list_light_rigs, set_light_rig_intensity, aim_light_at_object, group_lights, set_render_view_transform, get_lighting_summary
blender-camera create_camera, set_active_camera, set_camera_properties, list_cameras
blender-collection create_collection, link_to_collection, list_collections
blender-geometry create_sphere, save_blend, file_exists, export_fbx, export_obj
blender-geometry-nodes add_geometry_nodes_modifier, list_geometry_nodes_modifiers, create_geometry_node_group, assign_geometry_node_group, set_geometry_node_modifier_input, evaluate_geometry_nodes_info
blender-physics add_rigid_body, set_rigid_body_properties, remove_rigid_body, list_rigid_bodies, set_rigid_body_world_settings, bake_rigid_body_simulation, clear_rigid_body_bake, add_cloth_modifier, set_cloth_settings, add_collision_modifier, set_collision_settings, list_simulation_modifiers, bake_simulation, clear_simulation_cache, get_simulation_status

See src/dcc_mcp_blender/skills/SKILLS_INDEX.md for staged loading guidance, task-to-skill chains, and side-effect profiles for all bundled skills.


Installation

Agent install (recommended)

Want an AI agent to install the Blender-side dependencies, write the MCP host config, and walk you through enabling the add-on? Just ask your agent:

帮我参考 dcc-mcp/dcc-mcp-blender/install.md 去安装

The agent follows install.md, which delegates the setup workflow to skills/dcc-mcp-blender-setup. The remaining options below are for manual installation.

Option 1 — Install as Blender Extension (ZIP, recommended)

Important: The release ZIP uses the Blender 4.2+ Extension format with blender_manifest.toml at the archive root and a flat package layout. Legacy add-on install (Edit → Preferences → Add-ons → Install) will fail with "ZIP packaged incorrectly; __init__.py should be in a directory, not at top-level". This is expected — use the Extensions path below. The Extension format is the only supported GUI installation path.

  1. Download the latest platform ZIP from the Releases page: dcc_mcp_blender_addon_win64_vX.Y.Z.zip, dcc_mcp_blender_addon_linux_vX.Y.Z.zip, or dcc_mcp_blender_addon_macos_vX.Y.Z.zip
  2. In Blender 4.2+: Edit → Preferences → Extensions → Install from Disk… → select the ZIP. (Do NOT use Edit → Preferences → Add-ons → Install — that legacy path is unsupported.)
  3. Enable DCC MCP Blender
  4. The MCP server starts automatically on http://127.0.0.1:8765

Release ZIPs are Blender 4.2+ Extension packages. They include blender_manifest.toml and the matching dcc-mcp-core wheel under wheels/, so Blender installs the Python dependency into the extension's isolated environment.

The extension ZIP is assembled by packaging/assemble_zip.py. It resolves the latest compatible dcc-mcp-core wheel, places it under wheels/, and injects that wheel into blender_manifest.toml; Blender 4.2+ then installs it through the extension wheel mechanism instead of relying on global pip packages or sys.path edits. See packaging/release_smoke_checklist.md for the manual smoke test procedure.

Option 2 — Install via pip (for scripts / CI)

pip install dcc-mcp-blender

Then in Blender's Python console:

import dcc_mcp_blender
dcc_mcp_blender.start_server()

Headless Bootstrap

For CI or automation that needs Blender's main thread dispatcher:

blender --background --python src/dcc_mcp_blender/blender_bootstrap.py

The bootstrap prints MCP_URL=..., discovers bundled skills, and drives BlenderHost in headless mode until the process is stopped.

In interactive add-on mode, BlenderUiDispatcher subclasses the shared core UI dispatcher and BlenderTimerPump contains the Blender-specific bpy.app.timers wiring. In background mode, BlenderHost keeps using core BlockingDispatcher with an explicit headless loop so automation does not depend on Blender UI timers.


Quick Start

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "blender": {
      "url": "http://127.0.0.1:8765/mcp"
    }
  }
}

Make sure the Blender addon is enabled and the server is running, then restart Claude Desktop.

Python API

import dcc_mcp_blender

# Start the server (default port 8765)
dcc_mcp_blender.start_server()

# Stop the server
dcc_mcp_blender.stop_server()

Configuration

Environment Variables

Variable Default Description
DCC_MCP_BLENDER_SEMANTIC_INDEX 0 (off) Set to 1 to enable the opt-in lexical+vector hybrid skill recall. When enabled, search_skills fuses BM25 with vector similarity via Reciprocal Rank Fusion (RRF), improving recall for natural-language queries like "import USD files" or "rendering a preview".
DCC_MCP_BLENDER_SEMANTIC_EMBEDDER hashed Embedder backend for semantic recall. hashed (default) uses a zero-dependency hash-based embedding. Set to onnx for dense embeddings via OnnxEmbedder (requires pip install 'dcc-mcp-core[semantic]').
DCC_MCP_BLENDER_READINESS_TIMEOUT_SECS (none) Optional timeout in seconds for the readiness probe's dcc verification step.

Enabling Semantic Skill Recall

# Enable hybrid BM25 + vector recall
export DCC_MCP_BLENDER_SEMANTIC_INDEX=1

# Optional: use ONNX for dense embeddings (better semantic matching)
pip install 'dcc-mcp-core[semantic]'
export DCC_MCP_BLENDER_SEMANTIC_EMBEDDER=onnx

When enabled, skill search results include a [semantic] extra field and RRF-fused scores. The feature is opt-in — BM25-only recall remains the default and is not affected when the env var is unset.


Development

git clone https://github.com/dcc-mcp/dcc-mcp-blender
cd dcc-mcp-blender
pip install -e ".[dev]"
pytest

License

MIT — see LICENSE for details.

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