# Semdex

> Semdex — raghavwahi-semdex-mcp-server. Use this tool when you need to efficiently query and analyze large codebases using LLM agents. Semdex solves the problem of codebase navigation and knowledge retrieval by parsing code into semantic chunks and indexing them with vector embeddings. It takes in codebases as input and outputs query results through an MCP interface, ideal for use cases where AI agents require rapid code understanding and insight.

Canonical page: https://skillsregistry.net/skills/raghavwahi-semdex-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/raghavwahi-semdex-mcp-server

## Description

A local MCP server that parses codebases into semantic chunks, indexes them in SQLite with vector embeddings, and exposes MCP tools for LLM agents to query.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jwjlogo66w)
- **Repository:** <https://github.com/raghavwahi/semdex-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": "raghavwahi-semdex-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/raghavwahi-semdex-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/raghavwahi-semdex-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