"Fetch the current date and time" matching MCP servers:

Enables AI assistants to analyze project folders for dependencies and frameworks and fetch current documentation or datasheets from the web.

Enables efficient analysis of large codebases using Claude Code and Kimi K2.5 through the Model Context Protocol, with session caching and parallel processing to reduce costs and time.

A local-first MCP server that indexes code repositories and enables AI assistants to search, fetch, and navigate code using BM25 hybrid retrieval, supporting common languages and tools like Codex and ChatGPT.

Enables coding agents to answer from what is actually true in the current Terraform working directory: the provider schemas pinned in the lock file, saved plans, redacted state, and local or installed module interfaces. It also reports what a pinned provider upgrade would break, all read-only and without ever running init in the root module.

locidx

Enables Codex to retrieve the currently selected file, line numbers, and code snippets from JetBrains IDEs. It leverages the official Claude Code plugin to provide real-time IDE context to the AI.

Compare evidence-linked documentation claims with facts observed in the current source tree.

Checks mocks, stubs, and spies against current production code to detect stale or mismatched test doubles without running any tests.

Extracts today's Git commit history and code changes from a local repository, filtering by the current user and excluding merge commits, for integration with MCP clients like Claude Desktop.

MCP server that exposes actionable Omniboard checks for the current project to a local agent.

Bridges OpenAI Codex with Sentry to automatically fetch, analyze, and fix errors using AI.

Provides AI assistants with persistent memory and code intelligence across all tools and conversations. Features semantic search, knowledge graphs, decision tracking, and impact analysis with 60+ tools for universal context preservation.

Enterprise-grade code intelligence server for AI assistants that analyzes codebases for due diligence, tech debt, security vulnerabilities, and code quality.

Provides project context for AI agents in VS Code by analyzing technologies, structure, AGENTS.md rules, current branch, and source code without allowing arbitrary commands.

Federates UI component registries, enabling AI agents to fetch exact component code, dependencies, and setup prerequisites directly into the workspace. Includes sandboxed previews, anti-slop layout auditing, and offline-to-cloud telemetry sync.

Enables AI agents to analyze large codebases and document collections by consulting large context window models (up to 2M tokens) via OpenRouter when files exceed the current agent's context limits.

A production-ready MCP server that provides comprehensive dbt project quality assessment for any GitHub repository, enabling AI agents to analyze dbt models, check metadata coverage, and map data lineage.

Enables AI agents to fetch and pack the most relevant files from any GitHub repository for a given query, within token limits. Works with Claude Desktop, Cursor, Windsurf, and VS Code Copilot.

Enables AI coding agents and MCP clients to query a live VSCode instance for real-time LSP diagnostics, hover/signature/type information, references, and workspace-wide symbol renaming, replacing slow tsc and eslint runs. Also supports opening files and executing VSCode commands through the bridge extension.

Enables developers to scaffold UI5 applications and integration cards, validate manifests, run linting, fetch API documentation, and access UI5 development guidelines through agentic AI tools.