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-rw-r--r--misc/py-fastmcp/Makefile56
-rw-r--r--misc/py-fastmcp/distinfo3
-rw-r--r--misc/py-fastmcp/pkg-descr11
3 files changed, 70 insertions, 0 deletions
diff --git a/misc/py-fastmcp/Makefile b/misc/py-fastmcp/Makefile
new file mode 100644
index 000000000000..f0ae3eccab33
--- /dev/null
+++ b/misc/py-fastmcp/Makefile
@@ -0,0 +1,56 @@
+PORTNAME= fastmcp
+DISTVERSION= 2.12.1
+CATEGORIES= misc python # machine-learning
+MASTER_SITES= PYPI # no tarball
+PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
+
+MAINTAINER= yuri@FreeBSD.org
+COMMENT= Fast, Pythonic way to build MCP servers and clients
+WWW= https://gofastmcp.com/getting-started/welcome \
+ https://github.com/jlowin/fastmcp
+
+LICENSE= APACHE20
+LICENSE_FILE= ${WRKSRC}/LICENSE
+
+BUILD_DEPENDS= ${PYTHON_PKGNAMEPREFIX}hatchling>0:devel/py-hatchling@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}uv-dynamic-versioning>=0.7.0:devel/py-uv-dynamic-versioning@${PY_FLAVOR}
+RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}authlib>=1.5.2:security/py-authlib@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}cyclopts>=3.0.0:devel/py-cyclopts@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}exceptiongroup>=1.2.2:devel/py-exceptiongroup@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}httpx>=0.28.1:www/py-httpx@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}mcp>0:misc/py-mcp@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}openai>=1.95.1:misc/py-openai@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}openapi-core>=0.19.5:devel/py-openapi-core@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}openapi-pydantic>=0.5.1:devel/py-openapi-pydantic@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}pydantic2>=2.11.7:devel/py-pydantic2@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}pyperclip>0:devel/py-pyperclip@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}python-dotenv>=1.1.0:www/py-python-dotenv@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}rich>=13.9.4:textproc/py-rich@${PY_FLAVOR}
+RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}websockets>=15.0.1:devel/py-websockets@${PY_FLAVOR}
+TEST_DEPENDS= ${PYTHON_PKGNAMEPREFIX}dirty-equals>=0.9.0:devel/py-dirty-equals@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}fastapi>=0.115.12:www/py-fastapi@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}ipython>=8.12.3:devel/ipython@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}psutil>0:sysutils/py-psutil@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}pytest-asyncio>=0.23.5:devel/py-pytest-asyncio@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}pytest-cov>0:devel/py-pytest-cov@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}pytest-env>0:devel/py-pytest-env@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}pytest-httpx>0:devel/py-pytest-httpx@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}pytest-timeout>0:devel/py-pytest-timeout@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}pytest-xdist>=3.6.1:devel/py-pytest-xdist@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}pytest>=8.3.3:devel/py-pytest@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}ruff>0:devel/py-ruff@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}ty>0:devel/py-ty@${PY_FLAVOR}
+
+USES= python
+USE_PYTHON= pep517 autoplist pytest
+
+BINARY_ALIAS= python=${PYTHON_CMD}
+
+TEST_ENV= ${MAKE_ENV} PYTHONPATH=${STAGEDIR}${PYTHONPREFIX_SITELIBDIR}
+
+NO_ARCH= yes
+
+# tests as of 2.12.0: 54 failed, 2580 passed, 14 xfailed, 1 xpassed, 8 warnings, 1 error in 298.28s (0:04:58), see https://github.com/jlowin/fastmcp/issues/1690
+# tests as of 2.12.1: 57 failed, 2568 passed, 14 xfailed, 1 xpassed, 8 warnings, 2 errors in 343.76s (0:05:43)
+
+.include <bsd.port.mk>
diff --git a/misc/py-fastmcp/distinfo b/misc/py-fastmcp/distinfo
new file mode 100644
index 000000000000..674a8ccd41fb
--- /dev/null
+++ b/misc/py-fastmcp/distinfo
@@ -0,0 +1,3 @@
+TIMESTAMP = 1756969969
+SHA256 (fastmcp-2.12.1.tar.gz) = 0804428b26f601684e7ac1d650b46ab2b7b6c1e6c7ac77d51cdc7f58474d725f
+SIZE (fastmcp-2.12.1.tar.gz) = 5240512
diff --git a/misc/py-fastmcp/pkg-descr b/misc/py-fastmcp/pkg-descr
new file mode 100644
index 000000000000..61c726c5cef5
--- /dev/null
+++ b/misc/py-fastmcp/pkg-descr
@@ -0,0 +1,11 @@
+xFormers is a Toolbox to Accelerate Research on Transformers.
+
+xFormers is:
+* Customizable building blocks: Independent/customizable building blocks that
+ can be used without boilerplate code. The components are domain-agnostic and
+ xFormers is used by researchers in vision, NLP and more.
+* Research first: xFormers contains bleeding-edge components, that are not yet
+ available in mainstream libraries like PyTorch.
+* Built with efficiency in mind: Because speed of iteration matters, components
+ are as fast and memory-efficient as possible. xFormers contains its own CUDA
+ kernels, but dispatches to other libraries when relevant.