Search an indexed codebase with natural language to locate functions, classes, and patterns. Understand dependencies and explore existing systems.
Apache 2.0
675,138 tools. Updated 2026-10-19 04:15
"Code intelligence tools for LLMs to understand codebase structure and locate functionality" matching MCP tools:
- Analyze token or smart contract addresses to retrieve comprehensive intelligence reports including price, market data, security flags, liquidity, and source code for EVM and Solana chains.MIT
- Get parsed README documentation for any repository by providing its UUID or clone URL. Access clear codebase documentation to understand project structure and purpose.MIT
- Find code by meaning across your entire codebase using natural language queries or code snippets, returning relevant chunks with file paths and line numbers.Apache 2.0
- Retrieve the full schema for PingOne AIC themes, including payload structure, field types, enum values, and constraints, to understand requirements before creating or updating themes.Apache 2.0
- Detect duplicated logic across files and languages by comparing normalized code structure. Use before DRY refactors to identify identical algorithms for consolidation.MIT
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- Regenerate codebase documentation after significant code changes. Creates missing docs or updates architecture, conventions, dependencies, and onboarding guides to match the current codebase.Business Source 1.1
- Find symbols by name across your codebase with partial matching. Locate functions, classes, or variables to understand dependencies and code structure.Business Source 1.1
- Get AI search volume and trends for keywords to understand visibility in ChatGPT and other LLMs.MIT
- 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
- 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
- Check connected variants' port, connection status, available tools, and reconnect timing. Call before using other tools to understand what's available.Apache 2.0
- Retrieve design rules inferred from codebase patterns. Filter by category to understand implicit conventions for spacing, colors, typography, and more before building.Apache 2.0
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- Generate a comprehensive codebase architecture map showing modules, dependencies, frequently changed files, and API endpoints to understand structure before starting development tasks.MIT
- Get file structure, size, and semantic outline for large files to understand their organization and key components quickly.MIT
- Scans a project directory to produce a structural overview including language, framework, dependencies, and entry points. Use this to understand codebase architecture before diving deeper.MIT
- Scans a repository for duplicate or copy-pasted code blocks across files, flagging refactoring opportunities to extract shared utility functions.MIT
- Locate unused, orphaned, or unreferenced functions and classes in a repository AST. Use it during technical debt cleanup to identify dead code ready for safe removal.MIT
- Analyze an existing codebase or GitHub repo to generate UML class, sequence, and state diagrams and flag architectural issues for audits.MIT