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High-performance code understanding toolkit that enables batch reading of multiple files with dependency context, structural outline extraction with Java annotation awareness, and precise location of classes/methods across large codebases.

Provides semantic code intelligence to help users search, navigate, and analyze entire codebases using plain English. It enables Claude to perform architectural overviews, bug detection, and refactor suggestions through local semantic search and keyword indexing.

Enables AI agents to efficiently read Python code by first providing file skeletons then fetching only needed implementations, reducing noise and cost.

A MCP server for managing and storing code snippets in various programming languages, allowing users to create, list, and delete snippets via a standardized interface.

Enables CODESYS development assistance via MCP, including curated guidance, Structured Text writing help, local PDF search, and live official documentation lookup.

Exposes the codetoprompt library to LLM agents for generating comprehensive prompts from directories and retrieving specific file contents. It enables codebase analysis through detailed statistics like token counts and file type breakdowns.

Codevideo MCP

The MCP server for CodeVideo. Create software educational content using natural language.

A stateful, AST-aware MCP server for structured code review workflows. It enables iterative review sessions with AST-based context localization and provides structured feedback with verdicts and patch suggestions for JavaScript/TypeScript code.

Codeview MCP

AI-powered code-review toolkit: MCP server + CLI to analyze GitHub PRs with local LLM smells, cloud LLM summaries, inline comments, risk gating, and test stub generation.

Codevira MCP provides persistent memory and project context for AI coding agents by maintaining a shared knowledge base of decisions, roadmaps, and code relationships across sessions. It enables semantic code search and automated context tracking to ensure consistency and reduce token overhead during complex development tasks.

An MCP server that indexes Python codebase structures to help AI assistants discover and reuse existing functions instead of duplicating code. It enables real-time searching of function metadata, duplicate detection, and structural analysis across multiple projects.

Generates narrated video walkthroughs of git commits, staged/unstaged changes, or entire codebases with AI-powered analysis, syntax-highlighted code visualization, and text-to-speech narration.

An observational memory server that uses LLM agents to capture, compress, and recall project-specific decisions and context across AI coding sessions. It stores structured observations in SQLite to maintain long-term session continuity and architectural awareness.

Integrates with Google CodeWiki to search, fetch, and cache documentation for GitHub repositories, enabling easy access to repository documentation through natural language queries.

Local MCP server that wraps the codex CLI asynchronously, returning a job_id immediately to avoid MCP protocol timeouts, and providing tools to start, poll, list, and cancel codex jobs.

An MCP server for the OpenAI Codex CLI that provides coding assistance with multi-turn session management and reasoning depth control. It enables users to perform code analysis, generation, and refactoring through Claude with native resume support for conversational context.

Enables remote execution of Codex CLI commands and provides an MCP tool for AI agents to escalate questions to humans via Telegram, allowing for human-in-the-loop workflows when away from the machine.

An MCP server that wraps the OpenAI Codex SDK to deploy multiple specialized AI agents with individual configurations for models, sandboxing, and behavior. It enables users to manage dedicated tools for tasks like code review and test writing through a customizable agent factory.

Enables peer discovery and direct messaging between multiple Codex sessions running on a single machine. It allows AI sessions to coordinate, find other active peers by repository or context, and exchange messages via a local broker.

CodifyAG MCP-servers

公开目录未提供摘要。