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.
Enables AI agents to design RF filters, perform S-parameter simulations, and conduct multi-radio coexistence engineering using LTspice, Qucs-S, and scikit-rf.
Enji Guard lets an AI client audit repositories, read security and dependency findings, and manage repository improvement jobs via a CLI or MCP interface.
Scaffold, validate, and run FastMCP servers locally to ensure they run identically in containerized environments.
Provides an AI-driven governance platform for code projects using deterministic static analysis to audit architecture, security, and changes.
Enables AI agents to profile, benchmark, optimize, and report on GPU performance with an emphasis on inference workloads.
Provides a Python-based trust layer for AI agents to handle protocol translation, authorization, budgets, and verifiable audit history.
Scans Model Context Protocol servers for tool poisoning, prompt injection, and supply-chain vulnerabilities using sandboxed analysis.
Provides AI assistants with authoritative PineScript v6 documentation, code validation, and automated v5 to v6 migration tools.
An AI Scrum Master that manages sprint planning, standups, retros, and performance reporting directly from your terminal.
Extends AI assistants with custom tools, resources, and prompts through a modular, plugin-based architecture.
Identifies Python dependencies lacking prebuilt wheels for specific platforms and Python versions before Docker builds occur.
Enables AI clients to inspect, edit, and evaluate open-weight language models by manipulating weights and internal activations.
Provides AI agents with remote desktop control, PowerShell automation, filesystem access, and deep browser DevTools integration on Windows machines.
Provides a secure sandbox and service gateway for Claude Code to interact with infrastructure, APIs, and databases through controlled access modes.
Enables Claude to dispatch coding tasks to headless OpenCode agents via a durable SQLite queue with worktree isolation and two-way communication.
Allows AI agents to safely read and edit Django model content through controlled API keys, permissions, and draft workflows.
Provides a curated directory of agent skills and MCP servers for quantitative finance, including A-shares, crypto, and global equities.
Provides specialist AI agent roles, working memory, and isolated Docker execution for repository-native agent workflows.
Enables MCP servers to receive file uploads via short-lived, single-use URLs without passing large byte arrays through the MCP protocol.
Allows an AI agent to build, validate, and export enterprise architecture models compatible with the Archi tool.
