"How to implement Active Directory authentication in a project" matching MCP servers:

Provides VS Code active editor context (open file, cursor position, selection) to MCP-compatible AI tools.

Call OpenAI Codex from Claude Code for independent second opinions, structured code review, and delegated coding tasks through a FastMCP plugin that drives the codex CLI safely.

A self-contained Claude Code plugin that profiles a project by running a fixed DAG to emit agent-facing context pages, a human/developer guide, and a queryable vectorstore.

Enables AI agents to query a repository's verified semantic model, including capabilities, ownership, contracts, constraints, impact, health, and verification status, without re-deriving project facts. It exposes read-only tools for inspecting, reasoning about, and verifying the provenance-tracked surface.

Enables coding agents to retrieve compact, cited repository maps through MCP tools such as search, symbol inspection, flow investigation, and deep context loading.

MCP server for structured Laravel project planning. Scans projects, creates tickets, and exports as JSON.

A Python framework that exposes developer tools through MCP, REST API, and CLI from a single shared registry, enabling AI assistants, HTTP clients, and terminal users to access the same tools.

MCP server providing diagnostic tools to analyze software architecture, security, REST API compliance, and dependencies for multiple programming languages. Enables AI agents to run scans and audits on codebases.

Indexes Unreal Engine project C++ source, config files, dependencies, gameplay tags, replication, asset references, and log categories into a SQLite database and exposes tools for AI assistants to query structural and config info.

This MCP server automatically analyzes project architecture and finds similar code patterns to maintain consistency across different programming languages.

A Model Context Protocol (MCP) server that enables AI applications to access and analyze local code repositories without manual uploads, providing file listing, content reading, code searching, and project structure analysis capabilities.

Maximizes AI agent context window by enabling compact code reading and editing, reducing tokens by 40% for deeper codebase understanding.

An open-source MCP server that automates project customization by analyzing your codebase and generating AI-ready configuration files based on industry best practices.

Local desk for AI agents: track coding and non-coding projects as JSON, with Analytics and Kanban views. MCP server, Mac-first, Docker for Linux.

Hardware-accelerated codebase mapping that indexes Git repositories into Postgres/pgvector and serves code search, relationships, and static analysis results via a stdio MCP server.

It enables users to interact with a codebase through hybrid retrieval, code graph navigation, impact analysis, and context preparation for AI coding agents.

Read-only MCP server that provides AI agents with context about Unity project relationships, including scenes, prefabs, scripts, GUIDs, and code impact analysis.

A validation layer for AI coding assistants that enforces explicit LLM evaluations on plans, code diffs, and tests to ensure safer and higher-quality code.

Enables scanning projects for dependency vulnerabilities, secrets, license conflicts, code quality, and git health, returning a 0-100 health score with actionable suggestions.

Provides AI coding agents with fast, deterministic access to code graphs, knowledge lifecycle state, and cross-document symbol links, enabling compact context retrieval and seamless session handoffs.

Security scanner for MCP servers and AI-generated code. Detects leaked API keys, PII, prompt injection, and MCP misconfigs with A-F security grades.

An MCP server that provides CLI coding agents with persistent decision memory, codebase dependency-graph awareness, plan validation against architectural constraints, and a self-bootstrapping constraints.md file.

Enables AI agents to explore, search, and reference code implementation details across different project repositories. It also supports a task delegation protocol for agents to request and track work between separate codebases.

Enables AI assistants to manage project analysis, code metrics, documentation, Git operations, code quality, and file organization through natural language commands.

Indexes PHP and JavaScript codebases to deliver evidence-backed, progressively detailed project context, dependency graphs, impact analysis, and shared knowledge records to AI clients. Enables teams to record and validate technical knowledge, detect framework conventions, and export portable project databases for reuse.

A runtime-free MCP server that converts source code into AST🌲, regardless of language.

An MCP server that reads any codebase (GitHub repo or local folder) and explains it using AI. Enables users to ask questions about project structure, key files, auth flows, and more in plain language.

Provides AI agents with a governed, three-layer project memory (guide, code facts, and knowledge) through namespaced MCP tools for code search, context compilation, impact analysis, and proposal-driven documentation updates.

Local repository memory for Codex that indexes TypeScript/JavaScript structure into local SQLite, exposes compact MCP tools, and renders deterministic SVG/map frames.

Turns GitHub repository history into a cited maintainer skill for coding agents, providing tools to collect evidence, query the knowledge graph, and inspect bundles.

Provides AI assistants with progressive code intelligence to explore repository structure, find symbols, and assess the impact of changes using ast-grep.

A read-only MCP server that lets Claude read and search source code from local project folders, with path containment security.

Enables Claude to use Google Gemini as a secondary AI through MCP for large-scale codebase analysis and complex reasoning tasks. Supports both Gemini Flash and Pro models with specialized functions for general queries and comprehensive code analysis.

Enables automated migration of Vue projects to React with intelligent analysis, task management, and learning from user modifications.

Enables AI assistants to safely read and search project files within a configured root directory, supporting regex search, file listing, line-range reading, and symbol usage lookup.

Provides tools for analyzing project structures, searching through codebases, managing dependencies, and performing file operations with advanced filtering capabilities.

Enables searching, downloading, extracting, and comparing WordPress.org plugins with local plugins via natural language.

Codebase Q&A agent with git-history awareness. Explore a repo with list_files, read_file, and search, plus git log, blame, and diff and a repo map to answer "why did this change?" questions. Runs locally as an MCP server for Claude Code and other MCP clients.

Provides project management capabilities through terminal, web UI, or MCP stdio, including plans, code analysis, and filesystem-safe operations.

Enables automatic project understanding and context injection for OpenCode and Antigravity, detecting project type and refreshing knowledge incrementally without per-project setup.