"Robot Framework" matching MCP servers:

Enables agents to work with Robot Framework by discovering tests and resources, drafting tests from requirements, dry-running and executing suites, and parsing output.xml results.

A Model Context Protocol server that enables generating and managing Robot Framework test automation with SeleniumLibrary, including test case generation, page object models, and advanced web testing capabilities.

A local MCP server that parses Robot Framework output.xml files, scores and groups failures, and exposes structured triage data to Claude Desktop and Claude Code.

Provides AI assistants with current Ionic Framework v9 and v8 documentation, including component API references, usage examples for Angular, React, Vue, and vanilla JavaScript, and Ionic blog posts. Enables searching docs, reading pages, listing components, retrieving usage examples, and listing blog posts.

Enables QA to interactively inspect DOM elements in a visible browser, generate resilient Robot Framework locators and Page Objects, and validate selectors via natural language.

A communication framework that enables multiple AI agents to collaborate through asynchronous messaging, agent registration, and discovery. It facilitates complex task coordination and real-time discussion across distributed agent workflows using the Model Context Protocol.

Provides tools for AI agents to search, browse, and retrieve the full documentation for the mcp-framework. It enables agents to access documentation sections and page content directly within MCP-compatible environments like Claude Code and Cursor.

Connects to Moodle API to enable a voice robot to query student information such as attendance, homework, and scores, using read-only tools.

Provides an MCP interface to the ROBOT command-line tool for OWL ontology editing, enabling operations like merging, reasoning, and conversion via natural language.

Provides AI knowledge base query service for Cocos Creator 3.8.8 + exia-framework, enabling semantic search and API lookup for framework and engine classes.

Provides B2B positioning and messaging tools based on the IMPACT Framework, enabling analysis of champions, competitors, and value propositions to craft compelling messages and execute strategic audits.

Enables AI agents to discover Robot Framework keywords, execute test steps live against web, mobile, API, database, or desktop targets, and generate clean .robot test suites from plain-English instructions.

RobotMCP is a comprehensive Model Context Protocol (MCP) server that bridges the gap between human language and Robot Framework automation. It enables AI agents to understand test intentions, execute steps interactively, and generate complete test suites from successful executions.

Enables AI assistants to interact with Xray Test Management for both Cloud and Server deployments. Supports test execution, importing results from multiple formats (JUnit, Cucumber, Robot Framework, TestNG), and managing test plans and executions.

An MCP server for analyzing Robot Framework test results. It provides LLMs with tools to parse, summarize, and search through test execution logs from XML or JSON output files.

Enables interaction with Waferlock Robot services through a public REST API bridge. Provides secure access to robot management functionality without exposing AWS credentials, supporting local MCP server deployment via CLI.

A powerful Model Context Protocol framework that extends Cursor IDE with tools for web content retrieval, PDF processing, and Word document parsing.

A Model Control Protocol plugin for controlling GS cleaning robots, supporting robot listing, status monitoring, navigation commands, task execution, and remote control operations.

Provides a framework for running multiple MCP servers using FastAPI, stdio, and streamable-http transports, with an echo tool for testing and integration with MCP Inspector.

Indexes Robot Framework and Python files from robotws, stores metadata in SQLite, and provides generation context to help Cursor's LLM draft testcases in team style.