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@executeautomation/playwright-mcp-serverModel Context Protocol servers for Playwright
- @toolkitai/magnet-context
An AI engine for documenting your codebase with relevant context
- nm-mcp-playwright-server-new
Model Context Protocol servers for Playwright
- @joshapp/playwright-mcp-server-stealth-test
Model Context Protocol servers for Playwright
- @pvinis/playwright-stealth-mcp-server
Model Context Protocol servers for Playwright (with stealth)
- @chatwork/mcp-server
MCP (Model Context Protocol) server for operating Chatwork from AI
- @mcp-for-dev/mcp-google-search
A Model Context Protocol server for Google Search API
- xero-mcp
A Model Context Protocol server allows Clients to interact with Xero
- @mseep/mcp-playwright-cdp
Model Context Protocol server for Playwright with Chrome DevTools Protocol support
- @talzach/mcp-angular-cli
Model Context Protocol servers for Angular CLI
- kotemari-ts
A magical context management library for LLM applications, written in TypeScript.
- @codingstark/playwright-stealth-mcp-server
Model Context Protocol servers for Playwright (with stealth)
- file-concat-tool
A tool for generating context windows for AI prompting by recursively searching for .ts and .tsx files and concatenating their contents into a text file.
- mcp-use
A utility library for integrating Model Context Protocol (MCP) with LangChain, Zod, and related tools. Provides helpers for schema conversion, event streaming, and SDK usage.
- graphlit-mcp-server
Graphlit MCP Server
- ccc-playwright-mcp-server
Model Context Protocol servers for Playwright
- perplexity-mcp-server
A Perplexity API Model Context Protocol (MCP) server that unlocks Perplexity's search-augmented AI capabilities for LLM agents. Features robust error handling, secure input validation, and transparent reasoning with the showThinking parameter. Built with
- @xenova/transformers
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
- exa-js
Exa SDK for Node.js and the browser
- ai-context
AI context