# io.github.CodeLogicIncEngineering/codelogic-mcp-server

> Use this tool when you need to integrate rich software dependency data into your AI programming assistant, solving problems such as dependency management and code optimization. It provides an interface to access and utilize Codelogic's software dependency data, accepting input requests and returning relevant dependency information as output. Ideal for use cases where accurate and up-to-date dependency data is crucial for efficient coding and project management.

Canonical page: https://skillsregistry.net/skills/io-github-codelogicincengineering-codelogic-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/io-github-codelogicincengineering-codelogic-mcp-server

## Description

An MCP Server to utilize Codelogic's rich software dependency data in your AI programming assistant.

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** verified
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.11
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.CodeLogicIncEngineering%2Fcodelogic-mcp-server)
- **Repository:** <https://github.com/CodeLogicIncEngineering/codelogic-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": "io-github-codelogicincengineering-codelogic-mcp-server"
    }
  }
}
```

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