# go-mcps

> go-mcps — kwakuoseikwakye-go-mcps. Use this tool when you need to integrate large language models (LLMs) with external data sources, providing a bridge between AI models and real-world data. The go-mcps package offers a set of Model Context Protocol (MCP) servers to facilitate this connection, enabling seamless data exchange and processing. It is particularly useful for applications requiring dynamic data retrieval and processing, with inputs including data source configurations and outputs comprising processed data for LLMs.

Canonical page: https://skillsregistry.net/skills/kwakuoseikwakye-go-mcps  
JSON: https://api.skillsregistry.net/v1/skills/kwakuoseikwakye-go-mcps

## Description

A Go package offering a set of Model Context Protocol (MCP) servers to connect LLMs with real-world data sources.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/kwakuoseikwakye/go-mcps)

## 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": "kwakuoseikwakye-go-mcps"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kwakuoseikwakye-go-mcps` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kwakuoseikwakye-go-mcps/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