MCP servers that give coding agents real developer tooling: linters, package registries, test runners, language docs and local build commands. 13,971 servers in this category.
Provides Claude Code with long-term memory by indexing product specs, documentation, code, commits, and GitHub activity into a local hybrid search index.
Enables AI agents to drive durable software engineering pipelines including planning, implementation, and independent review via MCP.
Provides plugins, skills, and habits to help coding agents perform professional-grade work with guardrails and coordination capabilities.
Provides a local-first context and policy compiler that generates governed context maps and an MCP server for coding agents.
Lets an AI client validate, describe, and render accessible p5.js visualizations from JSON specifications.
Provides a stealth Chrome browser for AI agents to scrape websites, bypass Cloudflare, and inspect network requests, console logs, and page code.
Lets an AI client manage project tasks, track bugs, and create code maps through a centralized kanban dashboard and MCP server.
Connects AI agents to your existing, logged-in Chrome browser sessions via the Chrome DevTools Protocol.
Enables Claude to publish, edit, and delete tutorials and upload images directly to Git-based documentation sites like Docusaurus or MkDocs.
Manages MCP servers within DeepSeek Harness by allowing users to add, edit, and health-check server configurations via JSON.
Lets an AI agent control WeChat DevTools on Windows via official CLI and automation SDK to manage projects and simulate mini program interactions.
Acts as a runtime security guard for MCP servers by requiring human approval for write operations and detecting tainted tool outputs.
Manages MCP servers through a web interface for DeepSeek Harness, allowing users to add, edit, test, and batch import server configurations.
Scans MCP client configuration files for leaked credentials, hardcoded secrets, and unsafe settings before an agent process runs.
Enables AI clients to analyze Huawei AppGallery Connect data, including report trends, crash metrics, review insights, and automated daily/weekly digests.
Enables AI agents to execute predefined browser automation tasks defined in YAML using Playwright.
An AI assistant that automates pull-request reviews, risk scoring, stand-up summaries, and release note generation using GitHub data.
Optimizes MCP server resource usage by starting servers on demand and stopping them when idle to save memory across multiple AI sessions.
Provides full control over the Godot engine through three layers: headless operations, real-time editor bridging, and runtime game control.
Enables browser agents to discover controls, check actionability, and execute guarded interactions like clicking and typing within shadow roots and iframes.