VISEON for Web
What it does
VISEON's Schema.org knowledge graph: products, services, people, FAQs and terms, from viseon.io
- Connects 在云端运行
- Account or key No key needed
- Category 搜索与 AI 记忆
安装
选择你使用的 AI 应用,然后复制设置。
通过 4/4 项检查 · 你的提问会经过开发者的服务器(viseon.io) · ✓ 命令已检查 2026年11月13日
第一步:你用哪个 AI?
选择你用的应用,步骤会显示在下方。
可连接 Claude · 约 2 分钟
不需要密钥,不用安装程序 · 在 claude.ai 或桌面应用设置一次,即可在聊天中使用 · 免费账户可添加 1 个 · Team/Enterprise 方案由所有者(Owner)添加
打开 Claude 的 Connectors 页面
CustomizeConnectors
点击“Add” → “Custom” → “Web”,填写这 2 项
把这里的内容复制到 Claude 中同名的输入框,然后点击 Continue
Name · 名称VISEON for WebRemote MCP server URL · 地址https://viseon.io/mcp在 Claude 检测到的登录设置页点击 Continue · Authentication 按作者说明选择(Sign in now、Sign in when needed 或 No sign in),然后点击 Add
在聊天中开启
+ConnectorsVISEON for Web
试一试
用 VISEON for Web 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude 说正在使用 VISEON for Web,或回答中出现 VISEON for Web 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
能否连接 ChatGPT 取决于方案
完整 MCP:网页版 ChatGPT Business、Enterprise 或 Edu · Pro:以读取/获取权限连接,修改数据的工具可能用不了 · Plus:官方文档尚未确认,如果在插件页看到添加自定义 MCP 的选项可以试试 · 仅限网页
在网页版 ChatGPT 打开添加 MCP 的页面
Plugins+Add custom MCP server
填写名称和地址
输入名称,在 Connection 下粘贴地址,勾选风险提示,然后点击 Create as a plugin
Name · 名称VISEON for WebConnection · 地址https://viseon.io/mcp在聊天中选择 VISEON for Web
开启新聊天,输入前先从插件列表中选择 VISEON for Web
试一试
用 VISEON for Web 告诉我你能帮我做什么,然后做一件给我看✓ 如果 ChatGPT 说正在使用 VISEON for Web,或回答中出现 VISEON for Web 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 OpenAI 帮助页面核实 · 你的界面可能因版本略有不同
可连接 Claude Code · 约 2 分钟
不需要密钥,不用安装程序
打开终端
Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell
粘贴这条命令并按 Enter
claude mcp add --transport http --scope user semantic-intelligence https://viseon.io/mcp在 Claude Code 中输入 /mcp
应能看到 VISEON for Web 在列表中并显示已连接
试一试
用 VISEON for Web 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude Code 说正在使用 VISEON for Web,或回答中出现 VISEON for Web 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
可连接 Cursor · 约 2 分钟
不需要密钥,不用安装程序
在 Cursor 中以 Agent 模式打开 AI 聊天
试一试
用 VISEON for Web 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Cursor 说正在使用 VISEON for Web,或回答中出现 VISEON for Web 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同
可连接 VS Code · 约 2 分钟
不需要密钥,不用安装程序
在 VS Code 中以 Agent 模式打开 AI 聊天
试一试
用 VISEON for Web 告诉我你能帮我做什么,然后做一件给我看✓ 如果 VS Code 说正在使用 VISEON for Web,或回答中出现 VISEON for Web 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同
其他支持 MCP 的应用(如 Windsurf、Zed、Gemini CLI)添加方式各不相同,请在应用列表中查看
通过网页连接的应用使用的地址
https://viseon.io/mcpJSON 设置在下方“开发者专用”中
开发者专用:终端命令和 JSON 设置
通过网页连接
Claude Code
claude mcp add --transport http --scope user semantic-intelligence https://viseon.io/mcpCursor (~/.cursor/mcp.json)
{
"mcpServers": {
"semantic-intelligence": {
"url": "https://viseon.io/mcp"
}
}
}VS Code (mcp.json)
{
"servers": {
"semantic-intelligence": {
"type": "http",
"url": "https://viseon.io/mcp"
}
}
}这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
一览
哪些应用可以使用它
依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。
通过互联网连接,适用于
ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast
它能做什么
工具名称和描述与服务器在 2026年11月14日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。
get_entityGet complete schema.org entity data by URL (its @id), including relationships the graph holds in either direction. Use this before selecting an entity's image or other media: retain the canonical subject ID and use only assets explicitly linked by the retrieved record. A matching
query_relationshipsFind entities connected to a subject: one row per property value, with object_type 'uri' for links to other entities and 'literal' for values. Optionally filter by predicate.
find_by_typeFind all entities of a specific schema.org type (exact type name, for example Service, Person, DefinedTerm).
search_contentSubstring search across the text of every entity; returns up to 20 entity URLs.
fuzzy_find_and_traverseFind and rank schema.org entities from natural language, tolerating typos and alternative names. Returns bounded entity context with relationship IDs; use get_entity for full detail. The optional detail argument is summary (for each hit: id, type, name, url, the start of the desc
traverse_pathWalk the knowledge graph from one entity in a single call. start: an entity @id or a name (resolved like fuzzy_find_and_traverse). path: one entry per hop, each a predicate or a list of predicates; prefix a predicate with ^ to follow it backwards (e.g. ^worksFor finds who works f
get_citable_passagesReturn passages of the VISEON articles word for word, each with a link to the passage itself, the article it is part of and how much of the query it holds, so an answer can quote and cite them. query: the distinctive words asked about (a name, a term, a phrase the article uses).
基础检查i
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月14日
讨论
提问、分享技巧或报告无法使用。按“有帮助”数量排序。
用户评价
还没有评价
与“搜索与 AI 记忆”中的其他服务器比较i
- 星标数多于此分类中其他 6075 个服务器的 76%
- 发布到注册中心的时间比此分类中其他 6075 个服务器的 85% 更新
- 基础检查结果等于或优于此分类中其他 6075 个服务器的 100%
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
常见问题
VISEON for Web 安全吗?
它在 4 项适用的基础检查中通过了 4 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
它需要哪些密钥或代码?
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在我的电脑上运行还是在云端?
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
它还在维护吗?
GitHub 仓库最后更新于6天前,最新版本(6.0.16)于7天前进入注册中心。
哪些应用可以使用它?
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,因此也能用于接受远程 MCP 的应用,例如网页版 ChatGPT(Business 及以上为完整 MCP;Pro 为只读)。
有什么可以替代它?
同一分类中有:Context7, Codebase Memory, OpenSEO
同类别的其他选择
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Codebase Memory
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
OpenSEO
Keyword research, site audits, rank tracking and AI visibility for your AI agent.
作者的 README
打开 README
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
VISEON
Semantic Intelligence · Discover | Discuss | Transact
*AI agents can't execute on canonical truth until you define it.*
VISEON is a Semantic Control Plane (operating system for AI) for governing organisational meaning and evidence across enterprise systems, websites and AI interfaces. It serves as the Governed Navigator for enterprise AI, giving autonomous engines and LLMs the explicit pathways, guardrails and auditability required to discover, discuss and transact with precision.
This repository is the public reference for VISEON. The platform itself runs at VISEON.IO, which is the canonical source for what VISEON is and does. Our ARD listing for the VISEON MCP capabilities and example questions can be found here VISEON-MCP
Use the VISEON MCP server
[`io.viseon/semantic-intelligence` — MCP developer guide](MCP-SERVER.md) covers the remote endpoint, transport, all seven tools, resources and prompt availability, authentication, VS Code / Copilot configuration and example prompts.
Connect to `https://viseon.io/mcp` using Streamable HTTP. Public knowledge-graph queries require no API key, account or paid plan. The ARD manifest provides complementary machine-readable discovery metadata.
One governed semantic ecosystem. Four complementary solutions.
Every VISEON solution is governed, built around authoritative business meaning, and MCP-addressable. All four solutions are live.
| Solution | What it does |
|---|---|
| VISEON for Web | Makes your brand, organisation, products and services understandable to AI through a governed digital twin and knowledge graph, accessible to visitors through VISEON Ask and to AI agents through MCP. |
| VISEON for Enterprise | Establishes a governed Semantic Control Plane connecting enterprise systems, business definitions and relationships, giving AI agents authoritative context through MCP without replacing existing access controls. |
| VISEON for Qlik (vCat) | Governs the meaning of your Qlik analytics estate, making applications, metrics, master items and business context discoverable and actionable by AI agents through MCP. |
| VISEON Data Assurance | Establishes trust in enterprise data through governed quality, completeness and compliance checks, publishing verifiable evidence and data assurance status to AI agents through MCP. |
Discover, Discuss, Transact
- Discover. VISEON audits what public and internal AI architectures can currently see, identifies critical context gaps, and registers verified, brand-aligned facts into a unified context layer.
- Discuss. Evidenced facts registered into a canonical context Ask/MCP layer let AI agents give accurate, authoritative answers across every touchpoint: web discovery, internal knowledge retrieval, or agent-to-agent execution.
- Transact. The registry is connected through MCP and transient feeds, such as live prices and stock through change data capture, so agents can discover, recommend and act on it.
Semantic Entity Optimisation (SEO 3.0)
Semantic Entity Optimisation optimises the entity, not the page. Each thing an organisation is and offers gets one canonical definition, a stable identifier, verified links to the rest of the web and a record of where each fact came from, so AI reads the organisation from the source. It includes everything schema markup has always had to do, Google Rich Results included, and does not stop there.
Smarter.SEO is VISEON.IO for Qlik customers, existing and prospective, delivered by Differentia Consulting.
VISEON runs on VISEON
viseon.io is built the way VISEON builds for clients. Every page, product, service, person, glossary term and FAQ is an entity in one governed graph, served to people and to agents:
- VISEON Ask answers visitors from the graph, with sources.
- An MCP endpoint at
viseon.io/mcp. - An Agentic Resource Discovery (ARD) manifest at
/.well-known/ard.json. - A listing in the official MCP Registry as
io.viseon/semantic-intelligence. - The knowledge graph catalog at
/wp-json/viseon/v1/catalogand aschema.txtentity index, both advertised in the HTTPLink:headers andelements of every page.
Built on open standards
Schema.org, JSON-LD, the Model Context Protocol, NLWeb and Agentic Resource Discovery (ARD), connected to open commerce protocols including ACP, AP2 and Google's Universal Commerce Protocol. The graph is portable, inspectable and yours.
In this repository
README.md: this file.Schema.org-JSON-LD-Edge-Integrity-Test.md: a reference prompt for checking that a Schema.org@graphis fully connected by bidirectional edges.
Other public repositories
| Repository | Purpose |
|---|---|
| qonnect-fixtures | Synthetic test data for VISEON Qonnect and the VISEON DuckDB extension. No real customer data. |
| templates | Industry Schema.org JSON-LD templates, with example organisations. |
| public_data | Reference data files used by VISEON tooling. |
| agentfinder-catalog | Fork of GitHub's agent finder catalog, used to submit VISEON's MCP server and Differentia's services catalog upstream. |
Built by Differentia Consulting
VISEON is developed by Differentia Consulting, enterprise data specialists since 2002 and a Qlik partner, who have been helping organisations prepare quality data models for business intelligence and AI. VISEON sits within the Smarter.BI solution family.
Get started
- Free Semantic Entity Assessment: viseon.io/semantic-entity-assessment
- Website: VISEON.IO
- Pricing: viseon.io/pricing
- Problems VISEON solves, and how it compares: viseon.io/problems
- FAQ: viseon.io/faq
- Glossary: viseon.io/terms
- Articles: viseon.io/articles
- Contact: info@viseon.io · +44 1494 622 600
Connect
Copyright © 2026 Differentia Consulting Ltd. All rights reserved.