# Enterprise Knowledge MCP Server

> Use this tool when you need to query enterprise documents using natural language, enabling efficient searching and retrieval of information from various file formats such as DOCX, PDF, and PPTX. It solves problems of information overload and difficult document searches, providing a hybrid search functionality with MCP integration. Ideal for use in contexts where agents like Claude Desktop require access to enterprise knowledge bases.

Canonical page: https://skillsregistry.net/skills/j84077200345-dotcom-enterprise-knowledge-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/j84077200345-dotcom-enterprise-knowledge-mcp-server

## Description

Enables querying enterprise documents (DOCX, PDF, PPTX) using natural language, with hybrid search and MCP integration for Claude Desktop and other agents.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uu1qg7gh76)
- **Repository:** <https://github.com/j84077200345-dotcom/Enterprise-Knowledge-MCP-Server>

## 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": "j84077200345-dotcom-enterprise-knowledge-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/j84077200345-dotcom-enterprise-knowledge-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/j84077200345-dotcom-enterprise-knowledge-mcp-server/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