# MCP - Model Context Protocol

> Use this tool when you need to manage multi-user conversational applications with large language models, integrating contextual understanding and automation capabilities. It solves problems of information retention and action execution in complex conversations, handling multiple sessions and users. The MCP takes in user input and model outputs, generating summarized histories and executing real-world actions through its plugin system.

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

## Description

A conversational application server that integrates LLM capabilities via Ollama with vector memory context, supporting multiple users, sessions, automatic history summarization, and a plugin system for executing real actions.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/brmdcugpv4)
- **Repository:** <https://github.com/eversonpereira/mcp>

## 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": "eversonpereira-mcp"
    }
  }
}
```

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