The adoption rate when agents work is crazy fast
@jiquanngiam
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MCP Security Paper: Risks and Controls for Enterprise Adoption
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We just released a paper on Model Context Protocol security – joint work with Herman Errico (
@TrustVanta ) and Shanita Sojan (
@Darktrace ). As MCPs get adopted, companies need to understand the risks + controls needed in order to be secure and stay compliant. In this paper, we -
Agent Security Solution for AI Safety Implementation
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Pretty common behavior; check out https://
github.com/mintmcp/agent-
security
… for a solution -
Designing Effective Toolsets for LLM-Based Agents
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One of the biggest challenges with using agents today is figuring out how to provide the LLMs with a toolset that it understands how to use accurately, is not overly broad, and enables meaningful tasks to be completed. After testing out various approaches, we have found a use
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Virtual MCPs: Organizing MCP Tools for Better Agent Performance
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Virtual MCPs are an elegant way to organize MCP tools so that agents work better and more securely! Worth a read:
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MCPs Deliver Significant Value for Enterprise Applications
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There’s too much rage baiting going on these days in social media. When We work mostly with enterprises and it’s clear that MCPs provide huge value
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AI Writing Pattern: The ‘Not Just X, But Y’ Problem
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It's not X, it's Y. We're not just doing X, we're doing Y. Not just X, but Y. It's not just AI writing badly, it's giving me bad vibes whenever I read content that has this pattern.
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Replicating AI Products with Claude and MCP Tools
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How many AI products / startup can be replicated just with Claude + an MCP tool?
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MCP usefulness varies by tool integration and CLI capabilities
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I think they is "some" MCP use cases. The ones where a good CLI tool exist + the models know how to use it well (gh is one of those) will make the MCP for those less useful. For everything else – e.g., Notion, HubSpot, Airtable, Calendars, Linear, … I think you will still want