{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_eahu5qnzftqd","handle":"news-bigdata-mcp","url":"https://wellknown.network/agents/news-bigdata-mcp","links":{"self":"https://wellknown.network/agents/news-bigdata-mcp/record.json","html":"https://wellknown.network/agents/news-bigdata-mcp","markdown":"https://wellknown.network/agents/news-bigdata-mcp/record.md","api":"https://wellknown.network/api/v1/agents/news-bigdata-mcp","status":"https://wellknown.network/api/v1/agents/news-bigdata-mcp/status","claim":"https://wellknown.network/agents/news-bigdata-mcp/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/news-bigdata-mcp/claim.json","badge":"https://wellknown.network/agents/news-bigdata-mcp/badge.svg","openapi":"https://wellknown.network/openapi.json"},"ard":{"identifier":"urn:air::server:news-bigdata-mcp","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"news-bigdata-mcp","summary":"🔥 舆情大数据 MCP 服务 - 企业舆情监控、情感分析和新闻舆情查询","description":"# 舆情大数据服务\n\n[该 MCP 服务提供企业舆情大数据分析功能，包括舆情情感统计分析、相关新闻列表查询等，帮助企业实时监控网络舆情动态，分析公众情感倾向，为企业声誉管理和公关决策提供数据支持。](https://www.handaas.com/)\n\n## 服务特色\n\n🚀 **实时舆情监控** - 基于海量互联网数据，实时追踪企业相关舆情信息  \n📈 **情感分析** - 智能分析舆情情感倾向，包括正面、负面、中性、未知四个维度  \n🔍 **精准搜索** - 支持企业名称、统一社会信用代码、注册号等多种检索方式  \n📊 **趋势分析** - 提供舆情情感变化趋势，帮助企业把握舆论走向  \n🎯 **分类筛选** - 支持按情感类别筛选新闻，快速定位关键信息\n\n## 主要功能\n\n- 🔍 **企业关键词模糊搜索** - 根据关键词快速找到相关企业基础信息\n- 📊 **企业舆情情感统计** - 分析企业舆情的情感分布和趋势变化\n- 📄 **企业舆情新闻列表查询** - 获取企业相关的详细新闻舆情信息\n\n## 快速开始\n\n### 🚀 使用 uvx 快速启动（推荐）\n\n最简单的方式是使用 `uvx` 直接运行，无需手动安装：\n\n#### 1. 在 Cursor / Cherry Studio 中配置 MCP\n\n在 MCP 配置文件中添加以下配置：\n\n```json\n{\n  \"mcpServers\": {\n    \"news-bigdata-mcp\": {\n      \"command\": \"uvx\",\n      \"args\": [\"news-bigdata-mcp\"],\n      \"env\": {\n        \"INTEGRATOR_ID\": \"your_integrator_id\",\n        \"SECRET_ID\": \"your_secret_id\",\n        \"SECRET_KEY\": \"your_secret_key\"\n      }\n    }\n  }\n}\n```\n\n#### 2. 获取 API 凭证\n\n请登录 [https://www.handaas.com/](https://www.handaas.com/) 注册开通平台，获取以下凭证：\n\n- `INTEGRATOR_ID`: 对接器 ID\n- `SECRET_ID`: 密钥 ID\n- `SECRET_KEY`: 密钥\n\n就这么简单！`uvx` 会自动从 PyPI 下载并运行最新版本的 news-bigdata-mcp。\n\n---\n\n## 环境要求\n\n- Python 3.10+\n- 依赖包：python-dotenv, requests, mcp\n\n## 本地开发/手动安装\n\n### 1. 克隆项目\n\n```bash\ngit clone https://github.com/handaas/news-bigdata-mcp\ncd news-bigdata-mcp\n```\n\n### 2. 创建虚拟环境&安装依赖\n\n```bash\npython -m venv mcp_env && source mcp_env/bin/activate\npip install -r requirements.txt\n```\n\n### 3. 环境配置\n\n复制环境变量模板并配置：\n\n```bash\ncp .env.example .env\n```\n\n编辑 `.env` 文件，配置以下环境变量：\n\n```env\nINTEGRATOR_ID=your_integrator_id\nSECRET_ID=your_secret_id\nSECRET_KEY=your_secret_key\n```\n\n### 4. 启动服务\n\n支持多种启动方式：\n\n#### STDIO 模式（默认，用于 MCP 客户端）\n\n```bash\nnews-bigdata-mcp\n# 或\npython -m news_mcp_server\n```\n\n#### SSE 模式\n\n```bash\nnews-bigdata-mcp --transport sse --port 8000\n```\n\n#### Streamable HTTP 模式\n\n```bash\nnews-bigdata-mcp --transport streamable-http --port 8000\n```\n\n服务将在 `http://localhost:8000` 启动。\n\n### 5. 本地开发时的 Cursor / Cherry Studio MCP 配置\n\n#### STDIO 模式\n\n```json\n{\n  \"mcpServers\": {\n    \"news-bigdata-mcp\": {\n      \"comma…","publisher":{"name":"handaas","url":null},"homepage":"https://github.com/handaas/news-mcp-server","repository":"https://github.com/handaas/news-mcp-server","version":"1.0.0","license":"MIT","protocols":["mcp"],"tags":["mcp","news","sentiment","analysis","enterprise","monitoring"],"pricing":null,"endpoints":[{"url":"pypi:news-bigdata-mcp","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","license":"pypi","repoUrl":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"pypi","publisherName":"pypi"}},"derived":{"capabilities":[{"slug":"data.news","name":"News & Feeds","confidence":1,"provenance":"declared"},{"slug":"dev.monitoring","name":"Monitoring & Observability","confidence":1,"provenance":"declared"},{"slug":"dev.version-control","name":"Version Control","confidence":0.745,"provenance":"derived"}],"categories":["data","dev"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"news-bigdata-mcp","registry":"pypi","observedAt":"2026-09-10T08:27:16.462Z","publishedAt":"2025-10-10T08:07:36.691053Z","latestVersion":"1.0.0"}},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"news-bigdata-mcp","url":"https://pypi.org/project/news-bigdata-mcp/","firstSeenAt":"2026-09-10T08:25:03.734Z","fetchedAt":"2026-09-10T08:25:03.734Z","normalizedAt":"2026-09-10T08:25:03.734Z"}]},"firstSeenAt":"2026-09-10T08:25:03.734Z","updatedAt":"2026-09-10T08:27:16.462Z"}