Get AI search volume and trends for keywords to understand visibility in ChatGPT and other LLMs.
MIT
213,351 tools. Last updated 2026-06-19 15:39
"Code intelligence tools for LLMs to understand codebase structure and locate functionality" matching MCP tools:
- Analyze any repository to get a high-level map including languages, frameworks, size, structure, and entry points. Understand unfamiliar codebases quickly.MIT
- Returns the source code of a codebase node, sliced from its file by the graph's line span. Use after locate or find to read exact code without grepping.MIT
- Regenerate codebase documentation to reflect recent code changes, or generate initial docs if missing.Business Source 1.1
- Understand any codebase quickly by gathering its structure, file distribution, frameworks, entry points, and configuration files.MIT
- Retrieve auto-generated codebase documentation including architecture overview, code conventions, dependency maps, and onboarding guides to understand project structure and setup.Business Source 1.1
Matching MCP Servers
- AlicenseAqualityDmaintenanceA Model Context Protocol (MCP) server designed to easily dump your codebase context into Large Language Models (LLMs).Last updated113Apache 2.0
- AlicenseBqualityBmaintenanceHardware-accelerated codebase mapping that indexes Git repositories into Postgres/pgvector and serves code search, relationships, and static analysis results via a stdio MCP server.Last updated8MIT
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Cloudflare Workers MCP server: code-explainer
- Analyze a repository to reveal project type, languages, file sizes, module dependencies, and circular import warnings. Use this to understand the codebase structure before making changes.AGPL 3.0
- Retrieve the hierarchical node tree of a Figma file up to a configurable depth. Understand file structure, locate frames by name, and get node IDs for screenshots or design analysis.MIT
- Analyze codebase structure and extract function/class signatures to understand project organization and locate relevant code components.MIT
- Access the JSON protocol specification to understand envelope structure, exit codes, and command metadata. Use before other tools to interpret response formats and error semantics.MIT
- Discover server capabilities, supported AWS services, compliance frameworks, and intelligence engines to understand how to use the AWS Security Posture Advisor for security assessments.Apache 2.0
- Generate a comprehensive codebase architecture map showing modules, dependencies, frequently changed files, and API endpoints to understand structure before starting development tasks.MIT
- View all defined code guarantees, including rules and contracts, to understand invariants before modifying code. Use this to identify Datalog rules and API contracts.
- Analyze code structure and dependencies to assess impact of changes, find callers, and identify orphaned code using graph intelligence.AGPL 3.0
- Get file structure, size, and semantic outline for large files to understand their organization and key components quickly.MIT
- Compare codebase checkpoints against the current working directory or other checkpoints, retrieve file contents from any checkpoint, and search for strings across all checkpoints to locate previous code versions.MIT
- Access documentation to understand the required data structure, properties, and examples for creating family pedigree diagrams with genetic notation.MIT
- Check your codebase for coding conventions to ensure new code matches existing patterns and style.MIT
- Configure the Claude Code environment by installing a curated plugin bundle for LSP, security scanning, and code review tools tailored to your codebase languages.MIT
- View the top-level structure of your Obsidian vault to understand organization and locate folders for Zettelkasten notes.MIT