# Volterra Knowledge Engine

> Use this tool when you need to integrate and query disparate data sources, such as Notion, SharePoint, and Slack, to provide AI agents with a unified semantic knowledge base. It solves problems of data siloing and enables AI agents to access a broad range of documents and data through 27 interface tools. Ideal for use cases requiring read-only access to a centralized knowledge repository, the Volterra Knowledge Engine takes in integrated data from various sources and outputs query results to AI agents.

Canonical page: https://skillsregistry.net/skills/duhman-volterra-knowledge-engine  
JSON: https://api.skillsregistry.net/v1/skills/duhman-volterra-knowledge-engine

## Description

A read-only Model Context Protocol server that exposes a semantic knowledge base to AI agents via 27 tools. It enables querying of documents and data integrated from sources like Notion, SharePoint, HubSpot, and Slack.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** communication
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dkdlcwxg3u)
- **Repository:** <https://github.com/duhman/volterra-knowledge-engine>

## 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": "duhman-volterra-knowledge-engine"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/duhman-volterra-knowledge-engine` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/duhman-volterra-knowledge-engine/pull`

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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