Context7
by upstash
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Computer or cloud★ 64,224MITUpdated today
Install
VISEON Ask
Overview
Description from the maker (original English)
VISEON's Schema.org knowledge graph: products, services, people, FAQs and terms, from viseon.io
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
- UsageiNot measured yet★ –
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Runs in the cloud
- Transport: Streamable HTTP
- Category: Search & AI memory
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 1 of 1 passed
- Runs on the maker’s server: what you ask it goes through their server.
- The registry lists no key to fill in.
You need
- Runs in the cloudNothing to install; it connects over the internet
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Works in Claude on the web, desktop and mobile:
- Open Settings → Connectors
- Press Add custom connector
- Paste the address below and press Add
- If it asks you to sign in, sign in with the maker
https://viseon.io/mcpRun this in your terminal
claude mcp add --transport http semantic-intelligence https://viseon.io/mcpOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"semantic-intelligence": {
"url": "https://viseon.io/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"semantic-intelligence": {
"type": "http",
"url": "https://viseon.io/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
- Open ChatGPT on the web → Settings → Connectors (Apps)
- Press Create or Add (some plans need Developer mode under Advanced first)
- Paste the address below, give it a name and save
- If it asks you to sign in, sign in with the maker
https://viseon.io/mcpMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
What it can do
We have not read this server’s tool list yet; we check endpoints in rotation.
Basic checksi
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified against the domain viseon.io (the registry checks domain ownership)
- … Not checked yet
Still maintained
We have not read this repo from GitHub yet
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- … Not checked yet
Endpoint responds
Not checked yet; we check endpoints in rotation
- … Not checked yet
Sign-in with OAuth
Not checked yet; we check endpoints in rotation
- … Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint
Compared with others in Search & AI memoryi
- More stars than 0% of the other 7247 servers in this category
- Published to the registry more recently than 54% of the other 7247 servers in this category
- Basic checks equal to or better than 100% of the other 7247 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is VISEON Ask safe?
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
Is it still maintained?
The GitHub repo last changed –, and the latest version (6.0.15) reached the registry 32 days ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
What can I use instead?
In the same category: Context7, Codebase Memory, Exa
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Codebase Memory
by DeusData
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Runs on your computer★ 48,148MITUpdated 20 days ago
Install
Exa
by exa-labs
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Runs in the cloud★ 5,213MITUpdated last month
Install
README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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 and
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.