"WXT" matching MCP servers:

Data-visualization MCP server for ROOT Workspace. It enables creating and iterating on charts (Vega-Lite, Python plots) with a persistent kernel and vision loop.

Document-engineering MCP tool server providing tools for PDF, Office, Images, and Archives extraction and conversion. It never mutates source files and requires local tesseract for OCR.

CAD-engineering MCP tool server for parametric modeling, DFM validation, mechanical calculations, and more. Enables code-CAD builds (build123d/CadQuery), model inspection, meshing, and mechanical calculators via MCP stdio.

Web search (embedded SearXNG), content extraction, and library docs indexing with hybrid search. No API keys required.

Web search, content extraction, and library docs for AI agents with 5-strategy scraping and runs without API keys.

A Python MCP server enabling programmatic interaction with Aseprite for pixel art creation and manipulation with features like drawing operations, palette management, and batch processing.

Enables AI agents to perform web searches, fetch and extract page content, and crawl sites with caching, rate limiting, and robots.txt compliance, all without needing API keys.

Enables access to a synthetic hospital dataset through MCP, supporting SSE and STDIO transports, deployable to IBM Cloud Code Engine.

A simple note storage MCP server that allows adding notes and summarizing them through prompts.

MCP server for managing git worktrees per product, enabling agents to create, list, sync, and open tasks with multiple projects, reusable YAML config, and auto-generated Cursor/VS Code workspaces.

Enables LLM clients to control a LEGO Mindstorms NXT brick over USB, providing tools for motor movement, sensor reading, and querying device state.

Game master MCP server for a time-loop dungeon RPG, managing game state, dice rolls, and narrative for a wizard-trapped town.

MCP server for SecretiveShell/Awesome-llms-txt. Add documentation directly into your conversation via MCP resources.

Enables MCP clients to query the Open Science Framework for public research project metadata, abstracts, and component listings using OSF project IDs or URLs.

Provides controlled access to llms.txt documentation files through MCP tools, allowing AI assistants to fetch and read documentation from user-approved domains with full audit visibility of tool calls and context retrieval.

Provides a user-defined list of llms.txt files and a fetch_docs tool to read documentation URLs from those files, enabling controlled and auditable documentation retrieval for MCP host applications.

Enables MCP host applications to retrieve and process structured documentation from user-defined llms.txt files. It provides tools to fetch specific URLs and audit the documentation context returned to the LLM.

An MCP server that enables users to fetch and audit documentation from user-defined llms.txt index files. It provides tools to list documentation sources and retrieve content from specific URLs with built-in domain access controls for secure context retrieval.

Enables fast, token-efficient access to large documentation files in llms.txt format through semantic search. Solves token limit issues by searching first and retrieving only relevant sections instead of dumping entire documentation.

Connects AI assistants to todo.txt files, enabling task management through natural language while preserving plain text simplicity.