# CodeLens MCP

> Use this tool when you need to perform semantic code search or answer questions about a codebase. CodeLens MCP enables AI clients to analyze code structure and content using tree-sitter parsing and vector storage, solving problems like code discovery and understanding. It takes in codebases as input and outputs relevant search results and answers, ideal for use cases where developers need to quickly comprehend large or complex code repositories.

Canonical page: https://skillsregistry.net/skills/devprashant19-codelens-mcp  
JSON: https://api.skillsregistry.net/v1/skills/devprashant19-codelens-mcp

## Description

A local MCP server that enables LLM clients like Claude to perform semantic code search and answer questions about a codebase using tree-sitter parsing and sqlite-vec vector storage.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vwo1f2ehqs)
- **Repository:** <https://github.com/devprashant19/CodeLens_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": "devprashant19-codelens-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/devprashant19-codelens-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/devprashant19-codelens-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