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MCP Server · 运维云端

InfraNodus Knowledge Graphs & Text Analysis (verified)

Map text into knowledge graphs to create a structured representation of conceptual relations and topical clusters in your documents. Detect content gaps between the topical clusters and generate rese…

HTTP官方级别未说明来源级核验工具数未标注
JavaScriptHTTP云端部署

快速开始

打开主来源页面
运行时
Node.js

工具数量

公开资料未说明

来源目录标注

资源数量

公开资料未说明

来源目录标注

提示词数量

公开资料未说明

来源目录标注

GitHub Star

公开资料未说明

仓库热度

收录来源

1 个

Smithery

选型结论

InfraNodus Knowledge Graphs & Text Analysis (verified) 属于运维云端类 MCP Server,公开资料没有标注工具数量,通过HTTP 远程服务接入,客户端适配情况以官方文档为准,有可以直接复制的安装命令;接入前先确认权限范围。

分类

运维云端

传输方式

HTTP

认证方式

认证方式未标注

部署方式

公开资料未说明

安装与配置

安装命令

npx -y smithery mcp add infranodus/mcp-server-infranodus

远程服务不用写启动命令,在客户端 MCP 配置里填服务地址即可,具体字段按官方文档填写。

上手步骤

  1. 1

    确认访问方式

    这是HTTP 远程服务,本地不用装依赖;先确认服务地址、账号归属和额度,再决定接哪个客户端。

  2. 2

    安装服务

    复制下面的安装命令执行;命令里带占位符的位置换成自己的密钥或路径。

  3. 3

    写入客户端配置

    在客户端的 MCP 配置里填服务地址;需要授权的先完成登录,再回到客户端刷新。

  4. 4

    验证是否可用

    连接成功后客户端会列出可用工具,先用只读工具试一次,确认能返回结果再放开权限。

接入前确认

不要直接授予不必要的文件、网络或账号权限;先核对安装命令和配置内容。

公开资料仍需确认:分类

详细介绍

InfraNodus Knowledge Graphs & Text Analysis (verified)

Map text into knowledge graphs to create a structured representation of conceptual relations and topical clusters in your documents. Detect content gaps between the topical clusters and generate rese…

Quick Start

# Connect this server (installs CLI if needed)
npx -y smithery mcp add infranodus/mcp-server-infranodus

# Browse available tools
npx -y smithery tool list infranodus/mcp-server-infranodus

# Get full schema for a tool
npx -y smithery tool get infranodus/mcp-server-infranodus generate_knowledge_graph

# Call a tool
npx -y smithery tool call infranodus/mcp-server-infranodus generate_knowledge_graph '{}'

Direct MCP Connection

Endpoint: https://mcp-server-infranodus--infranodus.run.tools

Tools (28)

  • generate_knowledge_graph — Generate a knowledge graph with main topics, topical clusters, concepts, concepts (nodes) relations (edges) and structu…
  • create_knowledge_graph — Create a knowledge graph in InfraNodus from text or from a URL, save it, and provide its name and a link to it for futu…
  • memory_add_relations — Add relations to the InfraNodus memory from text, save it, and provide its name and a link to it for future use.
  • memory_get_relations — Provide a list of relations from the InfraNodus memory for a given concept or entity
  • analyze_existing_graph_by_name — Extract and analyze the content of an existing InfraNodus graph from your account.
  • analyze_text — Extract and analyze a graph from text, URL, YouTube video transcript, or an existing InfraNodus graph.
  • generate_content_gaps — Generate content gaps from text, URL, or an existing graph using knowledge graph analysis.
  • generate_topical_clusters — Generate topics and clusters of keywords from text, URL, or an existing graph using knowledge graph analysis.
  • generate_research_questions — Analyze text or an existing graph and generate innovative research questions based on the content gaps identified betwe…
  • generate_research_ideas — Analyze text or an existing graph and generate innovative research ideas based on the content gaps identified between t…
  • optimize_text_structure — Analyze the level of bias and coherence in text. If it's too biased, develop the represented topics, if it's focused or…
  • generate_responses_from_graph — Use text, URL, or an existing InfraNodus knowledge graph and generate responses and expert advice based on a prompt pro…
  • develop_conceptual_bridges — Analyze text or an existing graph and get ideas on how to develop conceptual bridges in this text to link it to a broad…
  • develop_latent_topics — Analyze text or an existing graph, extract underdeveloped topics and get an idea on how to develop them. Provide either…
  • develop_text_tool — Analyze text or an existing graph to extract research questions, develop latent topics, and identify content gaps in a …
  • generate_contextual_hint — Generate information about the main topics and concepts in a text to augment RAG retrieval and text analysis.
  • overlap_between_texts — Extract the common relationships and similarities between texts and generate an overlap graph
  • merged_graph_from_texts — Build a graph of all the texts, URLs, and existing InfraNodus graphs provided, providing topical clusters and gaps pres…
  • difference_between_texts — Extract the conceptial relations that are missing in the first text, url, or InfraNodus graph but are present in the ot…
  • analyze_google_search_results — Generate a knowledge graph and topical clusters from Google search results for provided search queries
  • analyze_related_search_queries — Generate a knowledge graph and identifymain topical clusters in the search requests related to the search queries provi…
  • search_queries_vs_search_results — Find the combinations of keywords and topics people search for that don't appear in the search results for the same que…
  • generate_seo_report — Analyze content for SEO optimization by comparing its knowledge graph with the graphs of Google search results and sear…
  • retrieve_from_knowledge_base — Retrieve the statements and general overview of an existing InfraNodus knowledge graph based on the user's prompt for G…
  • list_graphs — List all graphs (contexts) for the currently logged in user with optional filtering by name, type, date, language, or f…
  • search — Find the concepts and terms in existing InfraNodus graphs
  • fetch — Fetch a specific search result for an InfraNodus knowledge graph
  • get_more_tools — Check for additional tools whenever your task might benefit from specialized capabilities - even if existing tools coul…
# Get full input/output schema for a tool
npx -y smithery tool get infranodus/mcp-server-infranodus 

Resources

  • info://about — InfraNodus MCP server can generate knowledge graphs and perform text analysis using the InfraNodus API. It can work wit…
  • info://llms.txt — Concise index of InfraNodus MCP server documentation, tools, and links following the llms.txt standard for LLM-accessib…
  • info://llms-full.txt — Comprehensive documentation of all InfraNodus MCP tools with parameters, return values, workflow patterns, and key conc…

Prompts (10)

  • analyze-text — Generate a knowledge graph from text to identify main topics, concepts, and gaps
  • gap-analysis — Find the gaps in a text based on the knowledge graph analysis
  • topic-analysis — Find the main topics and topical clusters in a text based on the knowledge graph analysis
  • compare-texts — Find overlaps and differences between two texts using knowledge graphs
  • research-ideas — Generate research questions and ideas from text or existing graph
  • seo-topic-analysis — Analyze search queries and results to identify search intent, the main topics for topical authority, and high-volume se…
  • seo-content-analysis — Analyze the content to identify SEO opportunities and gaps
  • seo-competition-analysis — Analyze the highest-ranking websites of your competition to identify their main topics and gaps and see what you can fo…
  • develop-text — Develop text using knowledge graph analysis to fill gaps and expand ideas
  • save-memory — Save important information to your InfraNodus knowledge base

工具与能力

工具数量

公开资料未说明

资源数量

公开资料未说明

提示词数量

公开资料未说明

数量来自来源目录的标注,具体工具清单以官方文档为准。

典型使用场景

看服务状态

查询容器、日志和监控指标,定位异常。

执行部署变更

在权限范围内触发发布、回滚和环境切换。

核对资源用量

汇总用量,找出闲置和超额的部分。

选择建议

值得选的地方

  • 有现成的安装命令,不用自己找入口,照着跑就能起服务。
  • 走远程地址,接入方不用在本地装运行环境。
  • 公开说明写得比较完整,接入前能看清能力边界。

先想清楚的地方

  • 没有标注工具数量,能力范围只能看文档。
  • 第三方目录整理,版本更新和行为细节以官方仓库为准。

更适合

  • 需要在运维云端场景里让模型直接调用外部能力的人。
  • 想先快速试一下、能接受在本地跑服务的人。

不太适合

  • 需要厂商级 SLA 和技术支持的生产环境。

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按同分类和工具数量挑出最接近的几条,字段以各自详情页为准。

常见问题

5 条

InfraNodus Knowledge Graphs & Text Analysis (verified) 怎么安装?

公开资料给出的安装命令是 npx -y smithery mcp add infranodus/mcp-server-infranodus,运行环境为 Node.js。装完后按客户端要求写进 MCP 配置,重启客户端生效。

InfraNodus Knowledge Graphs & Text Analysis (verified) 怎么在 Claude Desktop、Cursor 里配置?

它是HTTP 远程服务,在客户端的 MCP 配置里填服务地址即可,不用本地装依赖;需要授权或 API Key 的,先在官方页面拿到凭据再填。

InfraNodus Knowledge Graphs & Text Analysis (verified) 收费吗?

本站只整理公开资料,不代收费用,也没有标注具体价格。是否收费取决于服务本身和背后的接口额度,正式使用前按官方说明确认。

InfraNodus Knowledge Graphs & Text Analysis (verified) 需要 API Key 吗?

公开资料没有标注认证方式,多数服务仍然需要密钥或账号授权,接之前先看官方文档确认。

InfraNodus Knowledge Graphs & Text Analysis (verified) 支持哪些客户端?

公开资料没有标注具体客户端;支持远程 MCP 地址的客户端都能接,配置方式参照官方文档。

来源信息

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