"Querying data in MySQL" matching MCP servers:

Simple sequential thinking MCP in python

Call OpenAI Codex from Claude Code for independent second opinions, structured code review, and delegated coding tasks through a FastMCP plugin that drives the codex CLI safely.

Bridges the ChatGPT web UI to a local development environment over MCP, letting the model read and patch files, run real shell commands and terminals, execute tests, and control the desktop (screen, mouse, keyboard, clipboard) within user-approved folders. It adds parallel workers, goal/loop long-task control, plugin tools, and a security-hardening layer with risk-tiered shell policy, audit logging, and credential sanitization.

Enables Codex to delegate code reviews, coding tasks, image/video generation, and background investigations to Grok via MCP tools.

Enforces a git-tracked, code-checked finite state machine that hands control between a planning director and a local Ollama implementor, exposing tools to check phase status, transition states, and run the implementor to execute plan step files one at a time. It enables a project to be planned, implemented step by step with per-step test gating, and validated before completion.

Connects ChatGPT to Roblox Studio's built-in MCP, enabling natural-language reading and writing of game data, including executing Luau code and modifying scripts and instances.

Provides interactive visual plans for AI coding agents, allowing users to review, approve, and monitor execution in real-time.

Enables AI coding assistants to ask for human clarification and share thoughts in real-time, creating natural, engaging coding conversations.

Enables coding agents like Cursor to access Figma design data, fetch layout and styling information, and implement designs in any framework.

Provides AI coding agents with access to Figma design data through the Figma API. Enables accurate one-shot implementation of designs in any framework by translating Figma files into simplified layout and styling information.

Enable Claude (or any other LLM) to interactively debug your code (set breakpoints and evaluate expressions in stack frame). It's language-agnostic, assuming debugger console support and valid launch.json for debugging in VSCode.

Persistent memory and pattern learning for AI coding assistants via MCP.

Enables a planning assistant to submit, inspect, and review project-scoped coding tasks while a local coding agent runs them in isolated workspaces through durable queues and read-only source access.

Enables Claude Desktop to spawn new Claude Code instances in iTerm2 windows for interactive coding sessions.

A native Visual Studio 2026 extension implementing Claude Code's IDE integration protocol: agent edits open in VS's diff viewer for accept/reject, and MCP servers expose the live debugger (stepping, data breakpoints, attach), Test Explorer runs, and Roslyn navigation with decompile to the agent.

Indexes local Python code into a Neo4j graph database to provide AI assistants with deep code understanding and relationship analysis. Enables querying code structure, dependencies, and impact analysis through natural language interactions.

Enables AI agents to participate in CodeChef contests by fetching problems, generating and testing solutions in a secure sandbox, and submitting answers.

Enables launching Claude Code in a specified project directory by opening a new terminal session with optional initial prompt.

Connects Windows-based Codex to the Cursor Agent CLI in WSL, providing a run_cursor tool to execute tasks in specified working directories and resume sessions per directory.

Enables managing coding agent sessions in a shared workspace, supporting session registration, handoff notes, and export summaries via Streamable HTTP.