"Proofreading and Organizing Notes in Notion" matching MCP servers:

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

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.

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

A task-level STDIO MCP server that lets Codex or any other MCP client hand off scoped coding jobs to an asynchronous worker agent which reads the code, edits files, and runs tests, while the client keeps ownership of planning and acceptance. Exposes submit, wait, query, follow-up, and cancel tools so multiple clients can queue and monitor tasks against a chosen project root.

Simple sequential thinking MCP in python

Provides accurate, source-grounded breaking-change briefings for npm packages by reading real GitHub release notes and CHANGELOGs, helping coding agents avoid hallucinated dependency migrations.

Give your AI coding agent superpowers over git history — auto-generate changelogs, analyze commits, attribute blame, and draft release notes via MCP. Zero runtime dependencies.

Lets coding agents create and manage threads in a running T3 Code server over MCP.

Enables coding agents to open files and git diffs directly in VS Code, allowing users to review code changes without leaving their conversation.

A CLI and MCP server for managing skills across ~45 code CLI agents, with 18 tools for discovering, installing, enabling, and syncing skills in mid-session.

Integrates Nautex AI's specification and planning tool with coding agents to manage requirements, tasks, and code generation in small, testable steps.

Multi-agent AI orchestrator that runs parallel coding agents in isolated sessions with self-improving intelligence, exposed via an MCP server for task execution and management.

An MCP server that stores notes attached to specific code locations and keeps them attached as code moves, enabling coding agents to read context before editing and leave handoff notes for future sessions.

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.

An MCP server that allows Pebble Index to capture notes, enqueue tasks, create follow-ups, and launch visible Codex threads on a Windows PC. It uses a remote server with token-based access and a local runner that executes only explicit execution requests.

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

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.

Enables coding agents to read snapshots of inspected UI elements and attached notes, allowing visual feedback and context to be shared through MCP.

Bridges Notion AI models to coding environments like OpenCode, Claude Code, and Codex CLI, enabling local file operations and shell commands via MCP tools.