# EdgeHop

> EdgeHop — edgehop-edgehop. Use this tool when you need to navigate and understand complex codebases efficiently, solving problems like symbol location, function call chains, and type hierarchies. EdgeHop takes in a codebase and outputs a queryable graph, providing insights into code structure and relationships through its MCP interface. It is particularly useful when working with large projects in languages like C#, JavaScript, and TypeScript, streamlining development and debugging processes.

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

## Description

Stop grepping. Start knowing.  EdgeHop turns a codebase into a queryable graph and serves it over MCP — find where a symbol lives, who calls a function, the type hierarchy, and the shortest path between two symbols, resolved from the compiler's semantic model instead of text search. Language support is pluggable: C#/Razor and JavaScript/TypeScript today, with more extractors on the way — and it re

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zs9535t3ei)
- **Repository:** <https://github.com/EdgeHop/EdgeHop>

## 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": "edgehop-edgehop"
    }
  }
}
```

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