# embecode

> Use this tool when you need to perform local code searches using a combination of semantic and keyword hybrid approaches. It solves problems related to code discovery and navigation, providing fast and secure search results without relying on external services or API keys. The embecode server takes in local codebases as input and outputs relevant search results, making it ideal for developers working on large projects who require self-contained and private code search capabilities.

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

## Description

Local-first MCP server for semantic + keyword hybrid code search. Zero external services, no API keys required.

## Trust

- **Trust score (0–1):** 0.18
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rs65pfof9k)
- **Repository:** <https://github.com/jdtzmn/embecode>

## 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": "jdtzmn-embecode"
    }
  }
}
```

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