"Information about draw.io diagramming tool" matching MCP servers:

MCP server connecting Claude/Cursor to Codex CLI, enabling code analysis via @ file references, multi-turn conversations, sandboxed edits, and structured change mode.

Integrates the Atlassian Rovo Dev CLI with the Model Context Protocol, allowing AI assistants to perform deep code analysis using Rovo Dev's large context capabilities. It enables features like repository-wide queries, file-specific analysis, and specialized coding modes through a standard MCP interface.

This is a powerful Model Context Protocol (MCP) server that integrates multiple AI coding agents—Anthropic Claude Code, OpenAI Codex, and Google Gemini—directly into your workflow. It enables seamless cross-provider analysis, leveraging Gemini's massive token window, Codex's specialized coding capabilities, and Claude's advanced reasoning.

An MCP server that allows Claude Code to interact with the OpenAI Codex CLI.

Enables Claude Code to dispatch opencode CLI tasks as background processes with immediate task handle return, status polling, and result retrieval, avoiding tmux and log parsing issues.

Official implementation of Anthropic's 'think' tool that provides Claude with a dedicated space for structured reasoning, improving performance by up to 54% on complex tasks requiring multi-step problem solving.

a claude code harness engineering tool

Production-ready MCP server starter templates in TypeScript and Python. Includes tool, resource, and prompt patterns with Claude Desktop integration configs.

Enables coding agents to search and retrieve persistent repository memory created by Cliper, providing context, gaps, architecture, and timeline information via MCP tools.

A fire-and-poll MCP server that lets Claude Code run long background jobs without hitting tool-call timeouts.

MCP server for Python build123d to help AIs develop and reason about 3D models and CAD

Enables hands-free, voice-driven management of T3 Code projects, threads, agent runs, and pending actions via GPTVoice tool calls.

Enables coding agents to navigate and query source code by providing context, symbols, and call graph information through a graph index.

Supercharges AI coding agents with semantic code intelligence, providing pre-built knowledge graphs for surgical context, faster answers, and fewer tool calls.

This server enables users to control and rewrite the developer instructions and MCP tool descriptions used by T3 Code's review guidance. It allows workflows to dictate the context provided to reviewers, including when to reuse existing conversations.

Enables users to run shell commands with compressed output, extract information from large files, drive local opencode and Codex agents, perform browser-automation tasks, and monitor runs via a live dashboard.

Proxy MCP server that translates tool calls into TypeScript code generation, enabling LLMs to orchestrate multi-tool workflows efficiently via code.

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

Enables running parallel subagents with configurable models and reasoning effort through a single MCP tool, collecting results in subtask order.

Enables unified access to a multi-node DSH control plane, routing ChatGPT tool calls to appropriate node agents with presence awareness, health monitoring, and fail-closed execution.

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

https://gopls-mcp.org/ MCP server for golang projects development: Expand AI Code Agent ability boundary to have a semantic understanding and determinisic information for golang projects.

An OAuth-protected MCP server exposing a coding-tool harness over Streamable HTTP, enabling remote MCP clients like ChatGPT to securely access a local development environment.

Enables MCP clients to drive Orca worktrees, agent sessions, and orchestration via a single orca tool over local stdio or authenticated remote HTTP transports.

Local-first MCP server that indexes all projects on your machine and provides coding agents with briefings about each project's stack, services, and run instructions, so they can start sessions with context across all repos. No cloud, no accounts, no telemetry.

MCP server that enables Claude Code to communicate with other Claude Code agents over HTTP, allowing users to ask questions about remote codebases or delegate coding tasks.

MCP server to provide Jira Tickets information to AI coding agents like Cursor

Bridges Large Language Models with Language Server Protocol interfaces, allowing LLMs to access LSP's hover information, completions, diagnostics, and code actions for improved code suggestions.

An AI-powered FastMCP server tool that automates the process of planning tasks, generating code, and creating GitHub pull requests.

Enables a persona-driven coding pair programmer to plan and execute code work through a full MCP tool loop, merging servers for image generation, live web search and fetch, a persistent shell with file access, audio/video processing, and hundreds of third-party app integrations like Gmail, Slack, GitHub, and Drive. Long conversations are automatically compressed to stay inside the engine's context window, tool calls are billed to the caller's own Pollen, and the whole agent runs on a single engine chosen because it can actually emit tool calls.