# enterprise-knowledge-mcp

> enterprise-knowledge-mcp — shruti-gorhe-enterprise-knowledge-assistant. Use this tool when you need to retrieve information from enterprise policy documents using natural language queries. It solves problems of manual document searching and information extraction, providing tools like search_enterprise_knowledge and get_document_sources to access relevant data. The tool takes natural language inputs and returns relevant document sources and information, ideal for use cases requiring efficient knowledge retrieval from complex policy documents.

Canonical page: https://skillsregistry.net/skills/shruti-gorhe-enterprise-knowledge-assistant  
JSON: https://api.skillsregistry.net/v1/skills/shruti-gorhe-enterprise-knowledge-assistant

## Description

Enables natural-language retrieval from enterprise policy documents via RAG, exposing search_enterprise_knowledge and get_document_sources tools.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/o7xxoppzb5)
- **Repository:** <https://github.com/Shruti-Gorhe/enterprise-knowledge-assistant>

## 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": "shruti-gorhe-enterprise-knowledge-assistant"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shruti-gorhe-enterprise-knowledge-assistant` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shruti-gorhe-enterprise-knowledge-assistant/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
