# code-intel-mcp

> Use this tool when you need to analyze and understand code across multiple repositories, as it provides deep code insights through git lifecycle management, code search, and dependency analysis, accepting git repository inputs and outputting actionable code intelligence for informed decision-making. It solves problems related to code discovery, dependency tracking, and repository management, making it ideal for large-scale codebase maintenance and development. By leveraging this tool, AI agents can efficiently process and generate outputs for various use cases, such as code review and optimization.

Canonical page: https://skillsregistry.net/skills/arunveersingh-code-intel-mcp  
JSON: https://api.skillsregistry.net/v1/skills/arunveersingh-code-intel-mcp

## Description

MCP server that gives AI agents deep code understanding across multiple git repositories, combining git lifecycle management, Zoekt-based trigram code search, and cross-repo dependency analysis.

## Trust

- **Trust score (0–1):** 0.71
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ovpaur4cdw)
- **Repository:** <https://github.com/arunveersingh/code-intel-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": "arunveersingh-code-intel-mcp"
    }
  }
}
```

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