"Enhance AI Coding Accuracy in Windsurf Code Editor by Codeium" matching MCP servers:

A secure, isolated MCP server providing full code editor functionality for AI pair programming, with Docker-based command execution and Cloudflare Tunnel remote access.

A Python-based text editor server built with FastMCP that provides tools for file operations. This server enables reading, editing, and managing text files through a standardized API following a multi-step process.

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.

MCP server for editing Jupyter notebooks (.ipynb) with 23 cell-level tools: create, read, search and restructure cells, manage outputs and metadata, and execute cells on a live Jupyter kernel (python3 built in; R, Julia via installed kernels). Built on nbformat and jupyter_client.

MCP server for editing R Markdown (.rmd) documents with 24 cell-level tools: create, read, search and restructure cells, read and set knitr chunk options and YAML frontmatter keys, and run chunks on a live Jupyter kernel (R via IRkernel; Python, Julia via installed kernels). Built on PyYAML and jupyter_client.

Server that enhances the capabilities of the Cline coding agent. It provides intelligent code suggestions, reduces hallucinations, and documents the knowledge base by leveraging your project's documentation and detecting the technologies used in your codebase.

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

Wraps Unreal Editor as an MCP server, enabling AI agents to automate editor tasks through Python scripts.

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

A local MCP server for reading, writing, and executing Jupyter notebooks using jupyter_client for direct kernel communication.

Enables supervising and orchestrating local coding agents like Muse and AGY through a client-agnostic MCP interface, with isolated Git worktrees, safe execution, and deterministic verification.

An MCP Server that enables LLMs to build real-time 3D web applications in the PlayCanvas Editor.

An MCP server for programmatically editing Jupyter notebooks, offering 29 tools for reading, modifying, and batch-processing notebooks without requiring a Jupyter server.

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.

An MCP server that orchestrates AI coding assistants (Claude Code CLI and Gemini CLI) to perform complex programming tasks autonomously, allowing remote control of your local development environment from anywhere.

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.

Empower any MCP-compatible AI Agent(MCP Client) with engineering-grade capabilities to understand, modify, run, and deliver real-world code repositories.

Enables AI agents to run untrusted, model-generated Python code in a locked-down throwaway Docker container with enforced isolation and resource limits. Supports starting, checking, and stopping asynchronous runs while returning structured status reports without exposing the host, network, or Docker controls.

An MCP server that implements Claude Code-like functionality, allowing the AI to analyze codebases, modify files, execute commands, and manage projects through direct file system interactions.

MCP server for E2B code sandbox, enabling creation, management, and execution of code in secure sandboxes using Python and shell commands.