dcc-mcp-server-bin — PyPI distribution of the dcc-mcp-server binary
Status: shipped — the wheel is built by the
build-binariesjob and published bypublish-server-pypiin.github/workflows/release.yml.
The HTML comment above is the MCP Registry's PyPI ownership marker: it proves
this package belongs to the io.github.dcc-mcp/dcc-mcp-core entry in
server.json at the repository root. The registry reads the README as
published on PyPI, so removing or renaming the marker breaks registry
publishing on the next release.
This directory packages the crates/dcc-mcp-server Rust binary as a
platform-specific binary-only PyPI wheel, following the same pattern as
ruff, uv, cmake, and pyright. The result is a single
pip install dcc-mcp-server that drops the gateway / sidecar / translate
CLI onto PATH for Python 3.7+ regardless of which DCC the user runs.
Why a separate PyPI package?
dcc-mcp-core is a PyO3 wheel — its _core.so is loaded into the host
Python interpreter (mayapy / blender-python / hython). The sidecar binary,
by contrast, is meant to run as its own OS process; bundling it into
dcc-mcp-core would couple two artefacts with very different release
cadences and ABI matrices. Splitting them is the standard pattern.
| Package | Distributes | Audience |
|---|---|---|
dcc-mcp-core (existing) |
PyO3 wheel (_core.so + Python facade) |
Skill authors, plugin/addon code running inside a DCC interpreter |
dcc-mcp-server (this dir) |
platform-specific Python 3.7+ binary wheels | Operators, sidecar spawners, anyone who wants a standalone gateway |
dcc-mcp-<dcc> (each repo) |
pure-Python plugin/addon glue | DCC plugin loaders (userSetup.py, addon register(), …) |
Layout
pkg/dcc-mcp-server-bin/
├── pyproject.toml ← maturin config, bindings = "bin"
├── python/
│ └── dcc_mcp_server/
│ └── __init__.py ← binary_path() helper for subprocess spawn
└── README.md ← this file
The Rust source is not duplicated here — pyproject.toml sets
manifest-path = "../../crates/dcc-mcp-server/Cargo.toml" so maturin
builds the existing workspace crate.
Local build
# Build a wheel for the current platform / Python
cd pkg/dcc-mcp-server-bin/
vx pip install maturin
vx maturin build --release
# Resulting wheel lands in ../../target/wheels/dcc_mcp_server-*.whl
vx pip install ../../target/wheels/dcc_mcp_server-*.whl
dcc-mcp-server --help
The wheel uses maturin bindings = "bin", so it does not load a Python
extension module and has no CPython ABI dependency. Its metadata deliberately
declares Requires-Python: >=3.7 so embedded Python 3.7 hosts such as Maya
2022 can install it directly.
Cross-platform CI release
Wheels are built by the build-binaries job in .github/workflows/release.yml
(there is no separate server-binary workflow) and published to PyPI by the
publish-server-pypi job.
| OS | Arch | Wheel platform tag |
|---|---|---|
| manylinux2014 | x86_64 | manylinux_2_17_x86_64 |
| Windows | x86_64 | win_amd64 |
| macOS | universal2 | macosx_10_12_universal2 |
The wheels are retagged to py3-none-<platform> by
scripts/release/server_wheel_tags.py, so a single wheel serves every
supported Python version. Linux wheels are deliberately built for
manylinux2014 rather than a newer baseline so older DCC-hosted Python
environments such as Maya 2022 can install them.
Both jobs are gated on release-please creating a release. The repository is
released as a single release-please package, so the server package ships from
the same v<version> tags as the core release — there is no separate
dcc-mcp-server tag stream.
Usage from a DCC plugin
# In a Maya plugin / Blender addon, after `pip install dcc-mcp-server`:
import os, subprocess
from dcc_mcp_server import binary_path
_proc = subprocess.Popen([
str(binary_path()),
"sidecar",
"--dcc", "maya",
"--host-rpc", "commandport://127.0.0.1:6000",
"--watch-pid", str(os.getpid()),
])
That's the entire plugin → sidecar wiring. Per-DCC HostRpcClient
implementations land in their respective adapter repos.
Metadata
Release files for dcc-mcp-server 0.20.44
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dcc_mcp_server-0.20.44-py3-none-win_amd64.whl | Python 3 | none | Windows x86-64 | Details |
| dcc_mcp_server-0.20.44-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl | Python 3 | none | Linux glibc 2.17+ x86-64 | Details |
| dcc_mcp_server-0.20.44-py3-none-macosx_10_12_universal2.macosx_10_12_x86_64.macosx_11_0_arm64.whl | Python 3 | none | macOS 10.12+ x86-64, macOS 10.12+ universal2 (ARM64, x86-64), macOS 11.0+ ARM64 | Details |
Total release size: 78.9 MB
Release files / dcc_mcp_server-0.20.44-py3-none-win_amd64.whl
| Download URL | dcc_mcp_server-0.20.44-py3-none-win_amd64.whl |
|---|---|
| Size | 19.8 MB |
| Tags | Python 3 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
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Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
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Transparency logRelease files / dcc_mcp_server-0.20.44-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
| Download URL | dcc_mcp_server-0.20.44-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl |
|---|---|
| Size | 20.1 MB |
| Tags | Linux glibc 2.17+ x86-64 Python 3 |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
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Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
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PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
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Transparency logRelease files / dcc_mcp_server-0.20.44-py3-none-macosx_10_12_universal2.macosx_10_12_x86_64.macosx_11_0_arm64.whl
| Download URL | dcc_mcp_server-0.20.44-py3-none-macosx_10_12_universal2.macosx_10_12_x86_64.macosx_11_0_arm64.whl |
|---|---|
| Size | 39.0 MB |
| Tags | Python 3 macOS 10.12+ universal2 (ARM64, x86-64) macOS 10.12+ x86-64 macOS 11.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
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PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
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