MCP servers that give coding agents real developer tooling: linters, package registries, test runners, language docs and local build commands. 13,968 servers in this category.
Enables ChatGPT to delegate coding tasks to a local Codex instance on your machine using an OpenAI tunnel.
Lets AI agents observe web app internals, identify race conditions, replay network orders, and generate Playwright tests to prove bug fixes.
A developer notebook that verifies AI citations against actual files and line numbers to ensure documentation and code accuracy.
Scans codebases to detect AI-generated errors like hallucinated packages, leaked secrets, truncated code, and unfinished stubs.
Provides tools to monitor and manage usage limits for AI coding assistants like Claude Code, Codex, Cursor, and Copilot.
Discovers, evaluates, and configures MCP servers for AI clients like Claude Desktop and Cursor using intent-driven semantic search.
Inspect, compare, and validate JSON webhook payloads locally using a CLI or MCP server for Claude.
Scans AI agent configurations, logs, and shell history to find and redact leaked API keys and passwords.
Converts YouTube transcripts, web pages, and App Store reviews into clean, AI-ready Markdown for use in MCP clients.
Provides pay-per-call APIs for DeFi market data, live hiring feeds, and security scanning for MCP servers and Base tokens.
Provides coding agents with read-only, workspace-restricted tools for local change verification, impact analysis, and test suggestion.
Allows an AI client to create, share, and manage encrypted code snippets, logs, and secrets via a self-hosted pastebin service.
Validates JSON-LD structured data against the Schema.org vocabulary without fetching external URLs.
Enables an AI assistant to search 63 migration recipes for converting Creatio Classic UI code to Freedom UI with API mappings and pitfall warnings.
Lets an AI client manage SSH, SFTP, and serial terminal sessions to execute commands and manage files on network devices.
Turns vague goals into deterministic intent ASTs through a visual divergence and convergence process for AI clients.
Provides AI coding agents with durable, git-backed memory that persists across sessions, repositories, and tools using the Agent Memory Repo spec.
Manages MCP servers by allowing users to list, probe, add, edit, toggle, and remove server entries via Agent tools, CLI, or a Web panel.
Performs human-like automated QA testing by driving a real browser to find UI, accessibility, and permission bugs without consuming AI tokens during runs.
Edit static websites through an MCP host using a private working copy, live browser preview, and human-controlled revision history.
