"Resources for improving coding skills and debugging code" matching MCP servers:

MCP server that exposes GDB debugging as tools. An AI assistant can set breakpoints, run programs, step through code, inspect variables and memory, and examine registers — all via structured tool calls. Reverse debugging with rr is also supported.

A Model Context Protocol server that enables Claude to execute Python code using boto3 to query and manage AWS resources directly from conversations.

MCP server for coding-os, a cognitive operating system that gives AI agents memory, structure, and discipline. It exposes tools for project management, task tracking, knowledge graphs, and cognition traces to Claude Code and Codex.

MCP server that demonstrates the Resources feature by exposing static and dynamic resources, including contact data and personalized greetings, through MCP.

Enables external AI clients to invoke an autonomous coding agent that plans, fixes, and self-corrects code in an isolated Docker sandbox via run_task and run_tests tools.

Official AnyAPI agent skills — hundreds of scraping & data APIs through one gateway: one key, USD pay-per-request, normalized schemas, automatic failover.

Enables MCP clients to execute SELECT-only SQL against a music-store schema with statement timeouts, guardrails, and retry/reflection support.

A stdio MCP server providing everyday tools and Markdown skills for the Sesha agent, enabling notes, web research, coding, docs, scheduling, and safety/governance.

Provides safe repository operations, skill reading, command execution, and test detection for coding agents over stdio.

A self-hostable, open-source, semantically-searchable Agent Skills registry delivered over MCP, with a three-tier progressive disclosure architecture.

Open-source skills that empower any AI agent (Claude, Cursor, Codex, Hermes, etc.) to generate end-to-end marketing campaigns — UGC videos, ad videos, product photography and more. From a product photo and a brief it casts AI actors, picks the best models, and edits finished assets of any length with consistent actor and product. It also researches competitors, publishes, and reviews performance.

Controls a running Chrome/Chromium browser via the Chrome DevTools Protocol, enabling navigation, JavaScript evaluation, tab management, and raw CDP commands through MCP tools.

Exposes 79 cybersecurity skills and 12 orchestrator agents over MCP, with a typed 11-field output contract, an enforced resolvable-evidence gate (no verdict without a resolvable source), and human-approval gating for every mutating action. Apache-2.0, stdlib-only.

A package manager for AI agents that connects LLMs to a global registry of capabilities, allowing them to autonomously discover, install, and learn new skills from a centralized repository.

Enables any MCP client to read, search, patch, and execute commands in a codebase, including interactive sessions and git operations, with permission modes and safety boundaries.

Provides tools for accessing coding style guidelines and best practices for various technologies including Java, Python, and React.

A high-performance MCP server that provides BM25-ranked search and structured access to over 1,300 AI skills, enabling context-efficient discovery and usage of AI capabilities while minimizing token consumption.

Live Indeed job-postings data for AI agents via the RolesAPI REST API: search listings by keyword and location, and fetch role details, salary, description, company, and benefits. Available as drop-in agent skills or a hosted remote MCP server.

Gives any MCP-compatible AI chat or agent a safe, model-neutral coding runtime with file read/search, structured multi-file patches, command execution, interactive sessions, and git operations, all confined to a single workspace and gated by permission modes.

Reddit automation for AI agents — browse feeds, search posts, comment, vote, and publish using a Chrome extension bridge. Python CLI with JSON output, no API keys needed.