# vision4nx-kb-mcp

> vision4nx-kb-mcp — aip-inteliscience-vision4nx-knowledge-connector. Use this tool when you need to access and query a knowledge base using advanced vector search capabilities. It solves problems related to information retrieval and knowledge discovery by enabling listing, querying, and reading of knowledge base contents. The tool takes in queries as input and outputs relevant results via RAG vector search, making it ideal for applications that require efficient and accurate knowledge base exploration.

Canonical page: https://skillsregistry.net/skills/aip-inteliscience-vision4nx-knowledge-connector  
JSON: https://api.skillsregistry.net/v1/skills/aip-inteliscience-vision4nx-knowledge-connector

## Description

MCP server that exposes the Vision 4 NX knowledge base to any MCP client, enabling listing, querying, and reading of knowledge base contents via RAG vector search.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dnwqbabi4o)
- **Repository:** <https://github.com/inteliScience/Vision4NX-Knowledge-Connector>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "aip-inteliscience-vision4nx-knowledge-connector"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aip-inteliscience-vision4nx-knowledge-connector` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aip-inteliscience-vision4nx-knowledge-connector/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt