# Knowledge Base

> Use this tool when you need to access and utilize structured knowledge repositories in AI workflows, allowing you to query and retrieve information from connected sources. It solves problems such as information retrieval and knowledge base updates, providing a structured interface for AI assistants to interact with knowledge bases. The tool takes in queries and returns relevant information, making it ideal for applications requiring informed decision-making and data-driven insights.

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

## Description

The KB-MCP-Server is a Python implementation of a Model Context Protocol server designed to interact with knowledge bases. Developed by Geeksfino, it provides a structured way for AI assistants to query and retrieve information from connected knowledge sources. The server likely supports operations such as searching documents, retrieving specific information, and possibly updating knowledge repositories. This implementation would be valuable for applications requiring AI systems to access and utilize structured knowledge repositories in their workflows.

## Trust

- **Trust score (0–1):** 0.56
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

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

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