# Knowledge Base Retrieval

> Use this tool when you need to access and retrieve information from structured knowledge bases, enabling use cases like question answering and knowledge-based reasoning. It provides efficient retrieval and vectorization of content, allowing AI models to query diverse information sources. Ideal for applications requiring curated information across multiple domains, this tool connects AI systems with organized knowledge stores.

Canonical page: https://skillsregistry.net/skills/jeanibarz-knowledge-base-retrieval  
JSON: https://api.skillsregistry.net/v1/skills/jeanibarz-knowledge-base-retrieval

## Description

This MCP server, developed by Jean Ibarz, provides tools for listing and retrieving content from different knowledge bases. Built with TypeScript and leveraging libraries like Faiss and Hugging Face, it offers functionality to access and search through structured knowledge repositories. The implementation focuses on efficient retrieval and vectorization of knowledge base content, enabling AI models to query and utilize diverse information sources. By connecting AI systems with organized knowledge stores, this server facilitates use cases such as question answering, information retrieval, and knowledge-based reasoning, making it particularly useful for applications requiring access to curated information across multiple domains.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/jeanibarz-knowledge-base-retrieval)
- **Repository:** <https://github.com/jeanibarz/knowledge-base-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": "jeanibarz-knowledge-base-retrieval"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jeanibarz-knowledge-base-retrieval` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jeanibarz-knowledge-base-retrieval/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