# MCP-Based Enterprise Knowledge Search Assistant

> MCP-Based Enterprise Knowledge Search Assistant — devidas-07-mcp-based-rag. Use this tool when you need to efficiently search and retrieve specific knowledge within an enterprise, solving problems of information overload and outdated data. It enables users to ask questions and receive accurate answers through a chat interface, utilizing hybrid search algorithms and AI-powered answer generation. Ideal for use cases where rapid access to relevant information is crucial, such as research, troubleshooting, or decision-making.

Canonical page: https://skillsregistry.net/skills/devidas-07-mcp-based-rag  
JSON: https://api.skillsregistry.net/v1/skills/devidas-07-mcp-based-rag

## Description

Enables enterprise knowledge search through a chat interface, comparing traditional RAG with MCP-driven retrieval using hybrid BM25 and dense vector search, Ollama-powered answer generation, and question routing to domain-specific retrieval tools.

## 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/nhdaie3mvn)
- **Repository:** <https://github.com/Devidas-07/mcp-based-rag>

## 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": "devidas-07-mcp-based-rag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/devidas-07-mcp-based-rag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/devidas-07-mcp-based-rag/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