A comprehensive overview of the current state of Multi-Concept Prompting (MCP), including advancements, challenges, and future directions.
>The Playwright MCP Chrome Extension allows you to connect to pages in your existing browser and leverage the state of your default user profile. This means the AI assistant can interact with websites where you're already logged in, using your existing cookies, sessions, and browser state, providing a seamless experience without requiring separate authentication or setup.
This article compares Model Context Protocol (MCP), Function Calling, and OpenAPI Tools for integrating tools and resources with language models, outlining their strengths, limits, security considerations, and ideal use cases.
This article discusses the concept of 'tool masking' as a way to optimize the interaction between LLMs and APIs, arguing that simply exposing all API functionality (as done by MCP) is inefficient and degrades performance. It proposes shaping the tool surface to match the specific use case, improving accuracy, cost, and latency.
This article details how to use Playwright MCP and GitHub Copilot to reproduce and debug web app issues. It covers setup, a sample scenario, and the benefits of this debugging approach.
This article discusses Model Context Protocol (MCP), an open standard designed to connect AI agents with tools and data. It details the key components of MCP, its benefits (improved interoperability, future-proofing, and modularity), and its adoption in open-source agent frameworks like LangChain, CrewAI, and AutoGen. It also includes case studies of MCP implementation at Block and in developer tools.
MCP-Universe is a comprehensive benchmark designed to evaluate LLMs in realistic tasks through interaction with real-world MCP servers across 6 core domains and 231 tasks. It highlights the challenges of long-context reasoning, unfamiliar tool spaces, and cross-domain variations in LLM performance.
The article explores how modern AI agents are fulfilling the vision of the Semantic Web by combining AI's learned intuition with the logical structure of semantic technologies, creating intelligent agents that can understand and act on behalf of users.
Vercel proposes using
<script type="text/llms.txt"> to include inline instructions for LLMs directly in HTML responses, particularly for access control and agent navigation.
<pre>
<script type="text/llms.txt">
## Note to agents accessing this page:
This page requires authentication to access. Automated agents should use a
Vercel authentication bypass token to access this page.
The easiest way to get a token is using the get_access_to_vercel_url or ...
</script>
</pre>
<script type="text/llms.txt"> to include inline instructions for LLMs directly in HTML responses, particularly for access control and agent navigation.
<pre>
<script type="text/llms.txt">
## Note to agents accessing this page:
This page requires authentication to access. Automated agents should use a
Vercel authentication bypass token to access this page.
The easiest way to get a token is using the get_access_to_vercel_url or ...
</script>
</pre>
A Model Context Protocol (MCP) server that provides tools for interacting with JMAP (JSON Meta Application Protocol) email servers. Built with Deno and using the jmap-jam client library.
