"RStudio IDE" matching MCP servers:

Bridges Warp's Oz coding agent to any IDE or MCP client (Claude Code, Cursor, Codex), plus native @oz in VS Code Copilot Chat. Cross-platform (macOS/Linux/Windows), independent project using only Warp's documented public oz CLI + MCP interfaces.

Enables AI coding agents to compile Delphi projects programmatically by parsing .dproj files, executing the Delphi compiler, and returning structured error results with multi-language support and automatic configuration generation from IDE build logs.

Enables Codex to retrieve the currently selected file, line numbers, and code snippets from JetBrains IDEs. It leverages the official Claude Code plugin to provide real-time IDE context to the AI.

Connects IDE agents to VibeMap via MCP, allowing AI coding agents to load project specs or reverse-engineer codebases into structured VibeMap assets.

Enables management of Antigravity IDE skills and configuration through MCP tools, including listing, reading, searching, installing, and deleting skills, plus reading/writing config.json and provider settings.

Enables IDE and DeepSeek Harness agents to control an agent-kernel instance over stdio, exposing tools for auth, projects, assignments, runs, scheduler nudges, and executor settings.

Enables IDE agents like Cursor and Windsurf to orchestrate kiro-cli with advanced session management, process pooling for 10x faster responses, and multi-project workflow support through isolated contexts.

Autonomous QA testing MCP server that analyzes, fixes, and learns from test failures. Integrates with IDE and Slack to provide cause and fix in plain language.

A simple template for creating custom tools for Cursor IDE using Model Context Protocol, deployable via Heroku, Docker, or directly within Cursor IDE.

Turns AI assistants into full-stack software engineers with 36 tools for cognitive reasoning, code validation, project scaffolding, and AI/IDE configuration generation across 130+ programming languages, databases, and frameworks.

Integrates AI safety analysis, red-teaming, and prompt auditing directly into MCP-compatible clients like Claude Desktop and Cursor IDE, allowing real-time analysis of prompts and detection of jailbreak attempts.

A TypeScript-based MCP server designed for experimentation and integration with Calude Desktop and Cursor IDE, offering a modular playground for extending server capabilities.

Connects AI coding assistants to the Jules API for autonomous coding sessions. Enables creating and managing coding sessions, GitHub integration, plan approval workflows, and real-time activity tracking directly from your IDE.

An interactive task loop MCP server for Cursor IDE that enables continuous web application development through a persistent terminal-based task processing system. It automates file management and project operations by processing user input in a continuous loop using integrated Cursor rules.

Lets Trae IDE list and message agents, inspect and trigger cron jobs, and pull incremental task-completion notifications from a local or remote gateway.

Add authentication to your app without leaving your IDE. Creates projects, configures auth methods, wires up OAuth, and scaffolds sign-in flows - all from your editor's chat.

Transforms your IDE into an autonomous multi-agent coding assistant that orchestrates complex codebase refactoring using LangGraph and LiteLLM.

Enables client-to-client communication between IDEs and development tools, allowing real-time collaboration across Cursor, VS Code, Windsurf, and other editors through bidirectional messaging and AI agent coordination.

Gives AI agents full access to IntelliJ IDE by running terminal commands, triggering builds, pushing notifications, and querying project context through a single MCP server with specialized plugins.

Enables MCP clients such as Claude Desktop, Claude Code and IDE agents to call a tool that drives a real Playwright browser to complete web tasks, with sensitive actions automatically refused when no human is available to approve them.

Automatically selects the optimal LLM model for each task in Cursor IDE by analyzing query complexity, task type, and applying customizable routing strategies across 17 different AI models.

A proxy server that enables communication between clients (like Claude AI or VS Code) and JetBrains IDEs, allowing AI assistants to access IDE functionality.

Enables a primary AI coding assistant to delegate tasks in parallel to specialized CLI-based AI sub-agents, sharing project context and synthesizing their responses from within an IDE.

Enables a primary AI assistant in an IDE to delegate tasks to multiple specialized AI coding assistants through a local MCP server, running them in parallel with shared project context and synthesizing their responses.

Exposes AI agents as MCP tools to fetch Jira stories, generate BRDs and Playwright test scripts, run tests, and auto-heal broken locators. Integrates with Claude Desktop and Cursor IDE for enterprise-grade test automation.

AI trading assistant for Bybit cryptocurrency exchange that analyzes markets in real-time, identifies trading opportunities, and executes trades with user confirmation through Cursor IDE integration.

Enables a primary AI assistant in an IDE to delegate tasks to specialized CLI-based sub-agents such as Gemini, Claude, Codex, and Cursor, with shared context, parallel execution, and synthesized responses.

A lightweight Python-based server designed to run, manage and create CrewAI workflows using the Model Context Protocol for communicating with LLMs and tools like Claude Desktop or Cursor IDE.

Enables agents to participate in a bounded café experiment by reading tables, taking seats, publishing harmless thoughts or replies, and leaving, with quiet observation also supported.

Enables a primary AI assistant in an IDE to delegate tasks to multiple specialized AI coding assistants in parallel, share project context, and synthesize their responses through one standardized MCP interface.

Enables a primary AI assistant to delegate tasks to multiple specialized coding sub-agents, run them in parallel with shared project context, and synthesize their responses from within the IDE.

Your coding agent remembers how it solved past tasks and reuses it next time: trigger, steps, outcome, lessons. Hooks recall the right skill before a task; skills strengthen with confirmed use and unused ones decay. Local SQLite, no API key, nothing leaves your machine. 9 MCP tools, works with Claude Code, Codex and Cursor. Agent-written memory stays untrusted until you approve it.

MCP server that delivers cross-platform identity and visual styling for AI agents — one bling.json, many surfaces (Claude Code, Claude Desktop, terminal, web, Slack, Discord, IDE). Includes WOW (Weird Office Workers), a random-identity generator with 13 weighted trait pools (465 entries), five rarity tiers calibrated against a 10k-roll empirical distribution, and HOMUNCULUS-framed share

An MCP server that makes your AI agent learn and evolve by capturing feedback as reusable, persistent skills that improve over time.

Turn rough requests into rigorously structured prompts for any coding agent. Quality-scored to ≥90/100 across 12 dimensions, calibrated on 1,000+ real coding cases.

Serves TypeSafe's Jev ruleset to MCP hosts as a prompt and instruction tool, enabling agents to experiment with Jev's natural-language decision capabilities.

Enables LLM agents to orchestrate a film production pipeline from brief to final cut, including shot planning, rendering, quality control, and assembly, using block-method planning and style-drift QC.

Enables developers to delegate asynchronous coding tasks to a cloud-based autonomous agent, creating tasks, reviewing and approving execution plans, sending feedback, monitoring sessions, and retrieving diffs and Pull Requests directly from an MCP-compatible IDE. It also supports configurable mock mode for local testing without consuming API credits.

Bridges MCP clients to the Antigravity IDE so they can dispatch and plan Gemini agent work trees, including multi-parent orchestration validated before any worker is created. It also exposes job status checks, local supervision of long-running jobs, and signed job-event webhooks, with no fabricated fallback results.

Agentic MCP server that receives a feature specification from an IDE, autonomously implements it in an isolated sandbox via an internal loop (plan-act-validate-correct), and returns a structured report with diffs and test results, without modifying the original repository.