docker.io/wantcat/trendradar-mcp:latest linux/amd64

docker.io/wantcat/trendradar-mcp:latest - 国内下载镜像源 浏览次数:20

温馨提示:此镜像为latest tag镜像,本站无法保证此版本为最新镜像

源镜像 docker.io/wantcat/trendradar-mcp:latest
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wantcat/trendradar-mcp:latest
镜像ID sha256:c030ff7e6711617c8c5d9b52ec6f0137b398f886785cdb1b06eec88b4c8428af
镜像TAG latest
大小 194.23MB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD python -m mcp_server.server --transport http --host 0.0.0.0 --port 3333
启动入口
工作目录 /app
OS/平台 linux/amd64
浏览量 20 次
贡献者
镜像创建 2025-12-03T13:15:04.065962105Z
同步时间 2025-12-11 12:35
更新时间 2025-12-12 15:39
开放端口
3333/tcp
环境变量
PATH=/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin LANG=C.UTF-8 GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D PYTHON_VERSION=3.10.19 PYTHON_SHA256=c8f4a596572201d81dd7df91f70e177e19a70f1d489968b54b5fbbf29a97c076 PYTHONUNBUFFERED=1 CONFIG_PATH=/app/config/config.yaml FREQUENCY_WORDS_PATH=/app/config/frequency_words.txt
镜像标签
2025-12-03T13:14:46.967Z: org.opencontainers.image.created 🎯 告别信息过载,AI 助你看懂新闻资讯热点,简单的舆情监控分析 - 多平台热点聚合+基于 MCP 的AI分析工具。监控35个平台(抖音、知乎、B站、华尔街见闻、财联社等),智能筛选+自动推送+AI对话分析(用自然语言深度挖掘新闻:趋势追踪、情感分析、相似检索等13种工具)。支持企业微信/个人微信/飞书/钉钉/Telegram/邮件/ntfy/bark/slack 推送,30秒网页部署,1分钟手机通知,无需编程。支持Docker部署⭐ 让算法为你服务,用AI理解热点: org.opencontainers.image.description GPL-3.0: org.opencontainers.image.licenses cb9b9ef186e045e20e7cfc95747c37bb306c23fc: org.opencontainers.image.revision https://github.com/sansan0/TrendRadar: org.opencontainers.image.source TrendRadar: org.opencontainers.image.title https://github.com/sansan0/TrendRadar: org.opencontainers.image.url latest: org.opencontainers.image.version

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wantcat/trendradar-mcp:latest
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wantcat/trendradar-mcp:latest  docker.io/wantcat/trendradar-mcp:latest

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wantcat/trendradar-mcp:latest
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wantcat/trendradar-mcp:latest  docker.io/wantcat/trendradar-mcp:latest

Shell快速替换命令

sed -i 's#wantcat/trendradar-mcp:latest#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wantcat/trendradar-mcp:latest#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wantcat/trendradar-mcp:latest && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wantcat/trendradar-mcp:latest  docker.io/wantcat/trendradar-mcp:latest'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wantcat/trendradar-mcp:latest && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wantcat/trendradar-mcp:latest  docker.io/wantcat/trendradar-mcp:latest'

镜像构建历史


# 2025-12-03 21:15:04  0.00B 设置默认要执行的命令
CMD ["python" "-m" "mcp_server.server" "--transport" "http" "--host" "0.0.0.0" "--port" "3333"]
                        
# 2025-12-03 21:15:04  0.00B 声明容器运行时监听的端口
EXPOSE [3333/tcp]
                        
# 2025-12-03 21:15:04  0.00B 设置环境变量 PYTHONUNBUFFERED CONFIG_PATH FREQUENCY_WORDS_PATH
ENV PYTHONUNBUFFERED=1 CONFIG_PATH=/app/config/config.yaml FREQUENCY_WORDS_PATH=/app/config/frequency_words.txt
                        
# 2025-12-03 21:15:04  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c mkdir -p /app/config /app/output # buildkit
                        
# 2025-12-03 21:15:04  228.31KB 复制新文件或目录到容器中
COPY mcp_server/ ./mcp_server/ # buildkit
                        
# 2025-12-03 21:15:03  72.14MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install --no-cache-dir -r requirements.txt # buildkit
                        
# 2025-12-03 21:14:51  113.00B 复制新文件或目录到容器中
COPY requirements.txt . # buildkit
                        
# 2025-12-03 21:14:51  0.00B 设置工作目录为/app
WORKDIR /app
                        
# 2025-11-18 14:01:11  0.00B 设置默认要执行的命令
CMD ["python3"]
                        
# 2025-11-18 14:01:11  36.00B 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; 	for src in idle3 pip3 pydoc3 python3 python3-config; do 		dst="$(echo "$src" | tr -d 3)"; 		[ -s "/usr/local/bin/$src" ]; 		[ ! -e "/usr/local/bin/$dst" ]; 		ln -svT "$src" "/usr/local/bin/$dst"; 	done # buildkit
                        
# 2025-11-18 14:01:11  39.44MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; 		savedAptMark="$(apt-mark showmanual)"; 	apt-get update; 	apt-get install -y --no-install-recommends 		dpkg-dev 		gcc 		gnupg 		libbluetooth-dev 		libbz2-dev 		libc6-dev 		libdb-dev 		libffi-dev 		libgdbm-dev 		liblzma-dev 		libncursesw5-dev 		libreadline-dev 		libsqlite3-dev 		libssl-dev 		make 		tk-dev 		uuid-dev 		wget 		xz-utils 		zlib1g-dev 	; 		wget -O python.tar.xz "https://www.python.org/ftp/python/${PYTHON_VERSION%%[a-z]*}/Python-$PYTHON_VERSION.tar.xz"; 	echo "$PYTHON_SHA256 *python.tar.xz" | sha256sum -c -; 	wget -O python.tar.xz.asc "https://www.python.org/ftp/python/${PYTHON_VERSION%%[a-z]*}/Python-$PYTHON_VERSION.tar.xz.asc"; 	GNUPGHOME="$(mktemp -d)"; export GNUPGHOME; 	gpg --batch --keyserver hkps://keys.openpgp.org --recv-keys "$GPG_KEY"; 	gpg --batch --verify python.tar.xz.asc python.tar.xz; 	gpgconf --kill all; 	rm -rf "$GNUPGHOME" python.tar.xz.asc; 	mkdir -p /usr/src/python; 	tar --extract --directory /usr/src/python --strip-components=1 --file python.tar.xz; 	rm python.tar.xz; 		cd /usr/src/python; 	gnuArch="$(dpkg-architecture --query DEB_BUILD_GNU_TYPE)"; 	./configure 		--build="$gnuArch" 		--enable-loadable-sqlite-extensions 		--enable-optimizations 		--enable-option-checking=fatal 		--enable-shared 		$(test "${gnuArch%%-*}" != 'riscv64' && echo '--with-lto') 		--with-ensurepip 	; 	nproc="$(nproc)"; 	EXTRA_CFLAGS="$(dpkg-buildflags --get CFLAGS)"; 	LDFLAGS="$(dpkg-buildflags --get LDFLAGS)"; 	LDFLAGS="${LDFLAGS:--Wl},--strip-all"; 	make -j "$nproc" 		"EXTRA_CFLAGS=${EXTRA_CFLAGS:-}" 		"LDFLAGS=${LDFLAGS:-}" 	; 	rm python; 	make -j "$nproc" 		"EXTRA_CFLAGS=${EXTRA_CFLAGS:-}" 		"LDFLAGS=${LDFLAGS:--Wl},-rpath='\$\$ORIGIN/../lib'" 		python 	; 	make install; 		cd /; 	rm -rf /usr/src/python; 		find /usr/local -depth 		\( 			\( -type d -a \( -name test -o -name tests -o -name idle_test \) \) 			-o \( -type f -a \( -name '*.pyc' -o -name '*.pyo' -o -name 'libpython*.a' \) \) 		\) -exec rm -rf '{}' + 	; 		ldconfig; 		apt-mark auto '.*' > /dev/null; 	apt-mark manual $savedAptMark; 	find /usr/local -type f -executable -not \( -name '*tkinter*' \) -exec ldd '{}' ';' 		| awk '/=>/ { so = $(NF-1); if (index(so, "/usr/local/") == 1) { next }; gsub("^/(usr/)?", "", so); printf "*%s\n", so }' 		| sort -u 		| xargs -rt dpkg-query --search 		| awk 'sub(":$", "", $1) { print $1 }' 		| sort -u 		| xargs -r apt-mark manual 	; 	apt-get purge -y --auto-remove -o APT::AutoRemove::RecommendsImportant=false; 	apt-get dist-clean; 		export PYTHONDONTWRITEBYTECODE=1; 	python3 --version; 		pip3 install 		--disable-pip-version-check 		--no-cache-dir 		--no-compile 		'setuptools==79.0.1' 		'wheel<0.46' 	; 	pip3 --version # buildkit
                        
# 2025-11-18 13:55:07  0.00B 设置环境变量 PYTHON_SHA256
ENV PYTHON_SHA256=c8f4a596572201d81dd7df91f70e177e19a70f1d489968b54b5fbbf29a97c076
                        
# 2025-11-18 13:55:07  0.00B 设置环境变量 PYTHON_VERSION
ENV PYTHON_VERSION=3.10.19
                        
# 2025-11-18 13:55:07  0.00B 设置环境变量 GPG_KEY
ENV GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D
                        
# 2025-11-18 13:55:07  3.81MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; 	apt-get update; 	apt-get install -y --no-install-recommends 		ca-certificates 		netbase 		tzdata 	; 	apt-get dist-clean # buildkit
                        
# 2025-11-18 13:55:07  0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
                        
# 2025-11-18 13:55:07  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-11-17 08:00:00  78.62MB 
# debian.sh --arch 'amd64' out/ 'trixie' '@1763337600'
                        
                    

镜像信息

{
    "Id": "sha256:c030ff7e6711617c8c5d9b52ec6f0137b398f886785cdb1b06eec88b4c8428af",
    "RepoTags": [
        "wantcat/trendradar-mcp:latest",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wantcat/trendradar-mcp:latest"
    ],
    "RepoDigests": [
        "wantcat/trendradar-mcp@sha256:63f11516075532d209cde2c33e31576d73f7e6adb87c62a0bd4aa8fe0d733c5b",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wantcat/trendradar-mcp@sha256:204b3a2efba1a10c4b6af0ce2dd5a29a27d3a9bc11d9a78b010432c01b9249d7"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-12-03T13:15:04.065962105Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "3333/tcp": {}
        },
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "LANG=C.UTF-8",
            "GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D",
            "PYTHON_VERSION=3.10.19",
            "PYTHON_SHA256=c8f4a596572201d81dd7df91f70e177e19a70f1d489968b54b5fbbf29a97c076",
            "PYTHONUNBUFFERED=1",
            "CONFIG_PATH=/app/config/config.yaml",
            "FREQUENCY_WORDS_PATH=/app/config/frequency_words.txt"
        ],
        "Cmd": [
            "python",
            "-m",
            "mcp_server.server",
            "--transport",
            "http",
            "--host",
            "0.0.0.0",
            "--port",
            "3333"
        ],
        "ArgsEscaped": true,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/app",
        "Entrypoint": null,
        "OnBuild": null,
        "Labels": {
            "org.opencontainers.image.created": "2025-12-03T13:14:46.967Z",
            "org.opencontainers.image.description": "🎯 告别信息过载,AI 助你看懂新闻资讯热点,简单的舆情监控分析 - 多平台热点聚合+基于 MCP 的AI分析工具。监控35个平台(抖音、知乎、B站、华尔街见闻、财联社等),智能筛选+自动推送+AI对话分析(用自然语言深度挖掘新闻:趋势追踪、情感分析、相似检索等13种工具)。支持企业微信/个人微信/飞书/钉钉/Telegram/邮件/ntfy/bark/slack 推送,30秒网页部署,1分钟手机通知,无需编程。支持Docker部署⭐ 让算法为你服务,用AI理解热点",
            "org.opencontainers.image.licenses": "GPL-3.0",
            "org.opencontainers.image.revision": "cb9b9ef186e045e20e7cfc95747c37bb306c23fc",
            "org.opencontainers.image.source": "https://github.com/sansan0/TrendRadar",
            "org.opencontainers.image.title": "TrendRadar",
            "org.opencontainers.image.url": "https://github.com/sansan0/TrendRadar",
            "org.opencontainers.image.version": "latest"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 194225138,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/fdd9e9bd859b8a9a557e0ae52f47fb0e8c432be2cbf87bd70567985b0484d7fe/diff:/var/lib/docker/overlay2/0def0957e85509a6339429f4d0331fcc19871c2910de0f958b55f0ed62192d06/diff:/var/lib/docker/overlay2/a73eb4631bb97a668bf77566e82685520943130ec3e3a18fa33b5742a24c8975/diff:/var/lib/docker/overlay2/f3e87a955061c72e78878ad3a9bf3e47c379ad18d72ef5cae457e79e2b99cc51/diff:/var/lib/docker/overlay2/d20ffe00643f879be0b058a69e99a2d7f5efe00333c419051f64107f2816ef8a/diff:/var/lib/docker/overlay2/79d53aca5b8260002f43f6be51e31ebce7fa48898723d9185b54e833aea9a1b0/diff:/var/lib/docker/overlay2/26d88c2a0d7ad140b7f89fec8bbd1ffc1842b7454e3cd231c3980a73c8b69b88/diff:/var/lib/docker/overlay2/d00adf6575e12ca74960f41d6ac1272c63fc6703696c336b526acde370dda7c3/diff",
            "MergedDir": "/var/lib/docker/overlay2/0365fe3031f9e6c2f6eebe465bc843f1424044e84aa4d624b4950b381f38a536/merged",
            "UpperDir": "/var/lib/docker/overlay2/0365fe3031f9e6c2f6eebe465bc843f1424044e84aa4d624b4950b381f38a536/diff",
            "WorkDir": "/var/lib/docker/overlay2/0365fe3031f9e6c2f6eebe465bc843f1424044e84aa4d624b4950b381f38a536/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:70a290c5e58b68f39496ab93a62f21b8b2ca0502e97905131838de1b39a37cbb",
            "sha256:cb4ecf39d967c6250ed4b311d3b1321a756a41e8a17167f2b972825bb48c517f",
            "sha256:a8045a14b5f43646157f485db46c310f72830287a36df203ff06fdbf99f77af6",
            "sha256:548ba1e7e8293996aef16a3670767b7b71d5e9a7dd05a5e2c969955a70576b38",
            "sha256:36090624ca69b43848fe8582f5979eaf999665df17f43271a58b1bfd50190f2a",
            "sha256:be6c16f10679cedc52612a36e9357465aba7ecc83e5d31f3de1787eb283fc63c",
            "sha256:363df884224627b0c782206490f04eafec142fab42ba8f9daebf33af5fcf5ad1",
            "sha256:c52234a21794c7557a93b3701d2499024699dcfee93a575bc4162da7745998ca",
            "sha256:7bb561af33baaa93de9dc5a5f49b826bcaad5b429d02a53fac795fb7c6de8afa"
        ]
    },
    "Metadata": {
        "LastTagTime": "2025-12-11T12:35:10.554414179+08:00"
    }
}

更多版本

docker.io/wantcat/trendradar-mcp:latest

linux/amd64 docker.io194.23MB2025-12-11 12:35
19