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Provides a token-budgeted, drift-aware memory engine that helps AI coding agents maintain long-term context and detect outdated configurations via Git webhooks.
Attach a debugger to running Android or iOS simulator apps to inspect local variables, stack traces, and method execution via MCP tools.
Automates mobile app quality assurance by building, deploying, and testing Android and iOS applications against strict quality and app-store readiness gates.
Enables AI clients to investigate package advisories and exploit context using OSV, NVD, CISA KEV, EPSS, and deps.dev.
Allows AI agents to manage, inspect, query, and optimize local SQLite databases through natural language chat sessions.
Enables AI assistants to perform codebase analytics, dependency inspection, technical debt scanning, and Git history analysis.
Enables AI agents to manage Windows services, processes, event logs, and PowerShell commands with a read-only by default security model.
Indexes codebases into an Oracle AI Database to provide hybrid search, call graphs, module wikis, and agent memory for AI coding tools.
Turn any Python function into a tool for Claude using a single-file, zero-dependency MCP server implementation.
Enables AI agents to perform time-travel kernel debugging by recording QEMU runs and replaying them with backward stepping and memory write tracking.
Decodes, validates, and explains devicetrees for embedded Linux, Zephyr, and hobby OS development.
Explains the memory layout of linked binaries by tracing code and data from object files through linker scripts to specific memory regions.
Provides an AI agent with precise x86 ISA facts, instruction encoding, register layouts, and exception details derived from Intel XED data.
Enables AI agents to boot UEFI applications under OVMF, decode EFI status codes, analyze PE images, and parse OVMF debug logs and firmware volumes.
Allows an AI agent to walk x86 page tables in a QEMU VM via gdbstub to explain page faults and audit memory permissions.
An MCP server that performs visual audits and design token extraction by comparing rendered pixels against DOM and CSS data.
Enables Claude Code to consult live Codex sessions for code reviews, research, and second opinions without leaving the terminal.
Provides security auditing, threat modeling, and incident lookup skills for securing LLM agents and MCP servers within Claude Code.
Lets AI assistants identify car components from descriptions and retrieve matching NHTSA recalls and owner complaints.
Determines if an undertaking falls within the scope of the EU Corporate Sustainability Reporting Directive and identifies the relevant financial year.