"Warp" matching MCP servers:

MCP server that exposes WarpDrive and EmberData docs as tools, enabling assistants to look up real documentation instead of guessing.

Enables secure database operations on SQL Server instances through a three-tier safety system, supporting schema exploration, query execution, performance analysis, and data export with configurable security levels from read-only to full development access.

Generates AI context files (CLAUDE.md, AGENTS.md, Cursor/Windsurf/Cline/Continue/Kilo Code/Trae rules, GEMINI.md, Copilot, Aider, Junie, Warp) for any repository. Runs as CLI or MCP server, 100% local.

A Model Context Protocol server that enables controlling Nanoleaf smart lights through Warp terminal or any MCP-compatible client, providing tools for device discovery, authorization, and control of lights, brightness, colors, and effects.

Integrates Google Gemini AI into Warp terminal workflows through three focused tools: single-turn chat for quick questions, multi-turn conversations with context preservation, and AI-powered code analysis with bug detection and optimization suggestions.

Provides GPU-accelerated gradient boosting model training and inference through a cloud service. Enables AI agents to train models on NVIDIA A10G GPUs and get fast cached predictions with portable model artifacts.

A lightweight MCP proxy that resolves compatibility issues between Codex MCP Server and Warp by intercepting resources/list and resources/read requests.

Enables semantic search of shell session history, matching natural-language intents to past CLI commands, including Warp sessions, for fast keyboard-first command discovery and reuse.

An MCP server that converts SVG files into Marp presentations, with features like text extraction and PNG conversion.

Enables creation and management of Marp presentation projects with academic themes and structured slide layouts. Supports project initialization, slide generation with 6 layout templates, and integration with AI-powered editors like Claude Code and Cursor.

Enables agents to compute shortest paths, topological dependency order, maximum flow and minimum-cut bottlenecks, minimum spanning trees, and PageRank centrality over weighted graphs for routing and execution planning. It exposes these graph-analysis capabilities as MCP tools through a zero-dependency Python server.

Enables agents to compute shortest paths, topological orderings, maximum flow and minimum cut bottlenecks, minimum spanning trees, and centrality rankings for graph-based multi-agent routing. It runs as a zero-dependency MCP server using standard Python libraries.

Wraps another MCP server to allow lifecycle management (start/stop/restart) and proxy its tools, resources, and notifications, enabling iterative development without agent reconnection.

An MCP server for AI-to-AI collaboration via the Gemini CLI. Available on npm: ask-gemini-mcp. Works with Claude Code, Claude Desktop, Cursor, Warp, Copilot, and 40+ other MCP clients. Leverage Gemini's massive 1M+ token context window for large file and codebase analysis while your primary AI handles interaction and code editing.

Turns any CLI command into an MCP server via a declarative YAML config, enabling safe, typed tool execution with no shell injection.

Exposes Bitbucket Cloud repository and pull request data as tools consumable by any MCP-compatible client, with per-request authentication via the caller's own Bitbucket API token.