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Managed Apache Solr for agents: hybrid BM25+kNN search, server-side embeddings, RAG answers
com.opensolr/opensolr-mcp 是 ChatHome Skills 收录的 MCP 条目,来源为 Official MCP Registry,质量分 78/100。 作为 Model Context Protocol 服务器,它向 Claude、Cursor、Copilot 等兼容 MCP 的 LLM 客户端暴露可直接调用的工具,让 agent 的能力超出模型内置范围。 该条目由 ChatHome Skills 的每日抓取从官方 registry 和 GitHub 发现查询中收录,每次运行都会重新核验仓库事实、新鲜度信号和安装元数据。 质量分综合了官方 registry 收录情况、可用安装命令、许可证完整性、仓库活跃度和 GitHub star 趋势,完整算法说明见来源页。安装命令已列于上方,可直接复制使用。 在将 com.opensolr/opensolr-mcp 加入生产 agent 工作流前,请核对上方的最近更新日期和仓库状态——下方事实快照是最近一次抓取的时点值。
uvx opensolr-mcp==0.8.1运行此命令前,请先核对上游源码。
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-10-09T23:22:55.442283Z",
"publishedAt": "2026-10-09T23:22:55.442283Z",
"statusChangedAt": "2026-10-09T23:22:55.442283Z"
}
},
"server": {
"name": "com.opensolr/opensolr-mcp",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-09-29/server.schema.json",
"version": "0.8.1",
"packages": [
{
"version": "0.8.1",
"transport": {
"type": "stdio"
},
"identifier": "opensolr-mcp",
"registryType": "pypi",
"registryBaseUrl": "https://pypi.org",
"environmentVariables": [
{
"name": "OPENSOLR_EMAIL",
"isRequired": true,
"description": "Opensolr account email; try the shared demo account mcp@opensolr.com, whose indexes are deleted after 3 days and can be changed or deleted by anyone else using it, or get your own at https://opensolr.com/register (free forever, no card)"
},
{
"name": "OPENSOLR_API_KEY",
"isSecret": true,
"isRequired": true,
"description": "Opensolr API key, found under Account > API in the control panel; the shared demo account's key is 420b8b23e7b12dc8ab838932145a5065 (preloaded index mcp_demo_d1__dense with 300 news articles, limits per index are 200 MB bandwidth and 50 MB disk, anything created is deleted after 3 days and other people can change or delete it)"
}
]
}
],
"repository": {
"url": "https://github.com/phpcip/opensolr-mcp",
"source": "github"
},
"websiteUrl": "https://opensolr.com/mcp",
"description": "Managed Apache Solr for agents: hybrid BM25+kNN search, server-side embeddings, RAG answers"
}
}