# navigation-agent-mcp

> Use this tool when you need to analyze and navigate complex codebases, as it provides a normalized API for symbol searching, call tracing, and repository inspection. It solves problems related to code understanding and mapping, enabling AI agents to perform structured analysis of codebases through endpoints, file trees, and symbol relationships. It accepts codebase inputs and outputs structured data, making it ideal for use cases requiring in-depth code inspection and analysis.

Canonical page: https://skillsregistry.net/skills/j0k3r-dev-rgl-navigation-agent-mcp  
JSON: https://api.skillsregistry.net/v1/skills/j0k3r-dev-rgl-navigation-agent-mcp

## Description

A minimal MCP server providing a normalized API for code navigation and repository inspection through tools like symbol searching and call tracing. It enables AI agents to perform structured analysis of codebases by mapping endpoints, inspecting file trees, and tracing symbol relationships.

## Trust

- **Trust score (0–1):** 0.18
- **Verification tier:** scanned
- **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/dvxtz5hg2m)
- **Repository:** <https://github.com/j0k3r-dev-rgl/navigation-agent-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": "j0k3r-dev-rgl-navigation-agent-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/j0k3r-dev-rgl-navigation-agent-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/j0k3r-dev-rgl-navigation-agent-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