MCP servers that give coding agents real developer tooling: linters, package registries, test runners, language docs and local build commands. 13,951 servers in this category.
Provides read-only access to ggufbench measurements and buildwright run logs to help agents analyze model performance and execution failures.
Provides a library of agent skills, role agents, and MCP servers to help AI assistants build software, conduct research, and perform quantitative analysis.
Provides a suite of production-grade MCP servers and agent skills to solve common issues like token bloat, memory management, and tool-call reliability.
Verifies AI-generated Rust, Python, TypeScript, and JavaScript code to catch hallucinations, API drift, and logic bugs.
Provides persistent project and user memory with semantic search for AI coding agents like Claude Code, Cursor, and Codex.
Enables AI clients to receive visual feedback rounds from the Deixis Mac app, allowing users to point, speak, or type UI changes directly into a session.
Provides a local web client and OpenAI-compatible API proxy to interface with Google Gemini using authorized web sessions.
Provides AI agents with live access to overseas mobile-game advertising data, including creative searches, similarity matching, and app store charts.
Provides specialized skills for building, auditing, and operating MCP servers, MCP Apps, and secure AI agents.
Provides AI agents with a disposable Windows desktop environment for running commands, automating GUIs, and controlling browsers.
Audit, migrate, and verify TypeScript and Python MCP servers against specific protocol revisions and Alexa+ readiness standards.
Analyzes ADRs, RFCs, and design notes to map architectural decisions and preview the impact of alternative component choices.
Resolves JSON revision ledgers to track decision histories, withdrawals, and agent handoff consistency for deterministic models.
Briefs AI agents with your personal preferences and project history to ensure consistent, high-quality code implementation.
Enables AI coding agents to communicate across different repositories by passing prompts and results between active sessions.
Automates the installation and configuration of MCP servers, AI agents, and development skills for the Antigravity IDE ecosystem.
Provides a self-hosted shared memory for AI coding assistants to store and retrieve project context and decisions via MCP.
Provides a transactional coordination service for coding agents to share state, manage tasks, and perform safe handoffs across different MCP clients.
Provides a learning repository and demonstration tools for connecting AI applications to useful context using Python and TypeScript MCP servers.
An agentic software factory that automates the process from GitHub issue to reviewed draft PR through a multi-agent workflow.
