"Access MySQL Database and Perform Read/Write Operations" matching MCP servers:

Run DeepSeek as a real sub-agent inside Claude Code / Codex CLI — not just a single LLM call. DeepSeek gets its own 7-tool agent loop (Read/Write/Edit/Bash/Glob/Grep/NotebookEdit) inside a sandboxed workspace.

Enables AI assistants to write and execute C# code directly inside Autodesk Civil 3D, providing full API access through code generation and execution.

Universal Python code execution MCP server that lets LLMs write and run Python for any task, with auto-install packages, streaming output, and automatic file display.

Serves local coding-agent session history over stdio, letting MCP-capable agents search past sessions across Codex, Claude Code, Gemini CLI, OpenCode, jcode, and Pi and read bounded, secret-redacted transcripts. Read-only mode restricts it to search and transcript tools, while write-enabled mode can create copies of a conversation in another agent's native format.

Enables assistants to monitor and control AI coding agents via the herdr CLI, listing agents and reading their output, then optionally starting agents, sending prompts or keystrokes, and managing panes and tabs. Read-only tools are always available while write tools require explicit opt-in, and remote machines can be targeted.

Enables ChatGPT Developer Mode to operate as a local coding agent by connecting to your own repository through MCP, allowing it to read, write, search, edit files, run safe verification commands, and manage handoff context for continued work.

Bridges MCP clients such as Claude Code and Cursor to independent Codex app-server sessions, letting them start, poll, steer, review, compact, cancel, and answer prompts for asynchronous Codex tasks over local stdio or a remote authenticated WebSocket. Runs read-only by default, with workspace-write sandboxing only when a user explicitly enables it, and reports job status, model listing, and progress back to the client.

Bridges Codex to a local Claude Opus 5 collaborator via Claude Code, enabling controlled read-only consultation or write-capable tasks on allowed workspaces with independent verification.

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.

Enables Codex to delegate coding tasks to a locally hosted Qwen model through an MCP tool, which can read, write, patch, test, and inspect git diffs inside an allowed workspace.

Provides coding agent capabilities including file operations, terminal commands, search functionality, and utility operations.

A production-packaged Model Context Protocol server for coding agents that routes large file, git, web, database, and other tasks through token-budgeted tools and workflows.

Enables bounded, local coding tasks to be delegated to OpenAI-compatible models with explicit working directory and read/write paths, pre-application unified-diff validation, and optional verification commands. It routes tasks by complexity and risk, while blocking sensitive changes such as auth, payment, secrets, migrations, database, deployment, or production environments.

Enables safe coordination of Herdr coding agents with lease-scoped reviewer and writer lifecycles, semantic waits for agent states, and read-only topology inspection, while prohibiting arbitrary shell execution and unscoped lifecycle operations.

Enables reading, searching, and starting T3 Code conversations through typed tools, with agent-launching and read operations distinguished.

SealMCP is an MCP server for Roblox exploit script development, enabling AI agents to write and execute Luau code in the Roblox environment via WebSocket.

An MCP server that exposes Google Jules Agent operations, enabling MCP-compatible clients to list sources, manage sessions, and inspect activities via the jules-agent-sdk.

Enables Claude.ai to interact with the Cursor editor to read files, write code, get selections, and more.

Assist LLM writing Waterloo Docstrings, a format with emphasis on machine-verifyable normativity.

Enables ChatGPT operators to access and control native host and worker capabilities—including sessions, message IDs, file operations, worktrees, shell/PTY commands, and permissions—through MCP tools with bounded, fingerprinted responses.