CodeLens MCP

by devprashant19 · data-analytics · mcp-server, glama

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.

Source: https://github.com/devprashant19/CodeLens_MCP

Install

git clone https://github.com/devprashant19/CodeLens_MCP

Tags: mcp-server, glama

Source: glama

About data-analytics MCP servers and Claude skills

data-analytics MCP servers extend what AI agents can do inside Claude Code, Cursor, Copilot, Codex, and Windsurf. The Skiln directory indexes 16,000+ such integrations across 22 categories.

CodeLens MCP is one of hundreds of data-analytics entries indexed on Skiln. Browse the full data-analytics category or the complete directory of Claude skills, MCP servers, agents, commands, and hooks.

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Frequently asked questions

How do I install CodeLens MCP?

Add the install command above to your Claude Code, Cursor, or Windsurf MCP configuration. Most servers register via npx, a local command, or a Docker image. Refer to the source repository for environment variables and credential requirements.

Which clients support CodeLens MCP?

Any MCP-compatible client works: Claude Desktop, Claude Code CLI, Cursor, Windsurf, Zed, and VS Code with the official MCP extension. OpenAI Codex and GitHub Copilot increasingly support MCP via adapter bridges.

Is CodeLens MCP free?

The server itself is typically open source. Any upstream service (API keys, paid tiers, hosted infrastructure) may have its own pricing. Check the source repository for details.