# Model Context Protocol Server

> Use this tool when you need to manage multiple user conversations with Large Language Models, overcoming memory limitations and ensuring personalized interactions. It maintains separate conversation contexts for each user, providing a stateful gateway for AI applications. Ideal for chatbots, virtual assistants, and other conversational AI systems that require context-aware responses.

Canonical page: https://skillsregistry.net/skills/bilgisayarkavramlari-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/bilgisayarkavramlari-mcp-server

## Description

A stateful gateway server for AI applications that solves the memory limitations of Large Language Models by maintaining separate conversation contexts for each user.

## Trust

- **Trust score (0–1):** 0.71
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/i8xmvs8jmg)
- **Repository:** <https://github.com/BilgisayarKavramlari/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": "bilgisayarkavramlari-mcp-server"
    }
  }
}
```

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