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VISEONIO MCP Server

Developer ToolsLow Risk10.0MCP RegistryRemote
Free

Server data from the Official MCP Registry

VISEON's Schema.org knowledge graph: products, services, people, FAQs and terms, from viseon.io

About

VISEON's Schema.org knowledge graph: products, services, people, FAQs and terms, from viseon.io

Remote endpoints: streamable-http: https://viseon.io/mcp

Security Report

10.0
Low Risk10.0Low Risk

Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.

7 tools verified · Open access · No issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Found in Source Code

Found by scanning the linked source code. This listing connects to a hosted endpoint, so none of this runs on your machine: it describes what the server software does where it is hosted.

HTTP Network Access

Connects to external APIs or services over the internet.

How to Connect

Remote Plugin

No local installation needed. Your AI client connects to the remote endpoint directly.

Add this to your MCP configuration to connect:

{
  "mcpServers": {
    "io-viseon-semantic-intelligence": {
      "url": "https://viseon.io/mcp"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

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 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. Five complementary solutions.

Every VISEON solution is governed, built around authoritative business meaning, and MCP-addressable. All five solutions are live.

SolutionWhat it does
VISEON for WebMakes 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 EnterpriseEstablishes 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 Catalog (vCat)The authoritative catalog of an organisation's business meaning. Data stewards approve every definition, and AI agents read them through vCat MCP before they act, so every answer carries its governed definition and trust level. VISEON Catalog for Qlik drafts descriptions for the master measures, dimensions and fields in Qlik apps for a steward to approve.
VISEON MCP GatewayThe single, controlled door between an organisation's AI assistants and its business systems. Every request carries the person's own Microsoft Entra ID sign-in, each role sees only the tools it has been granted, and every call is authorised again and written to a tamper-evident audit log.
VISEON Data AssuranceProves your data can be trusted by people, auditors, regulators and AI. It scores every row, not a sample, inside your own environment against nine data quality dimensions drawn from DAMA-DMBOK and aligned to ISO/IEC 25012, and publishes the evidence 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 and GitHub's MCP registry as io.viseon/semantic-intelligence.
  • The knowledge graph catalog at /wp-json/viseon/v1/catalog and a schema.txt entity index, both advertised in the HTTP Link: headers and <link rel="alternate"> elements 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.
  • MCP-SERVER.md: the developer guide to the public VISEON MCP server.
  • Schema.org-JSON-LD-Edge-Integrity-Test.md: a reference prompt for checking that a Schema.org @graph is fully connected by bidirectional edges.

Other public repositories

RepositoryPurpose
qonnect-fixturesSynthetic test data for VISEON Qonnect and the VISEON DuckDB extension. No real customer data.
templatesIndustry Schema.org JSON-LD templates, with example organisations.
public_dataReference data files used by VISEON tooling.
agentfinder-catalogFork 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.

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Copyright © 2026 Differentia Consulting Ltd. All rights reserved.

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