START HERE — WHAT IS MCP?
1. Demystifying Model Context Protocol (MCP) (Silverchair · Dec 2025)We may be biased, but we think this is the best first read for publishers. Explains MCP through the familiar lens of APIs, covers how it differs, and frames the strategic questions publishers need to be thinking about — access, attribution, licensing, metadata standards — without getting lost in the technical weeds.
2. What is Model Context Protocol (MCP)? A guide (Google Cloud · 2025)
Google’s accessible overview walks through the host-client-server model with concrete examples, and draws useful distinctions between MCP and RAG — a comparison that matters a lot for how publishers think about their content infrastructure.
3. Model Context Protocol (Wikipedia · Updated Apr 2026)
A useful reference for the origin story and ecosystem snapshot: who created it, who adopted it (OpenAI, Google DeepMind, Microsoft), and how MCP moved from an Anthropic initiative to an industry standard under the Linux Foundation’s Agentic AI Foundation.
MCP IN SCHOLARLY PUBLISHING CONTEXT
4. AI readiness and the new value equation in scholarly publishing (The Scholarly Kitchen · Feb 2026)Examines what it actually means for content to be “AI-ready” in an MCP world. Makes a strong case that raw XML and PDFs are insufficient — publishers need to think seriously about chunking, semantic tagging, and ontologies before exposing content through MCP-enabled integrations.
5. How AI is transforming platform strategy: beyond the hype (The Scholarly Kitchen · Dec 2025)
Silverchair CTO Stuart Leitch cuts through the noise to identify what’s actually changed in AI capabilities — including a clear-eyed explanation of how MCP fits into the shift toward agentic, multi-step workflows. A strong read for anyone who wants to understand the infrastructure layer before diving into the publishing-specific implications.
6. Model Context Protocol (MCP): landscape, security threats, and future research directions (ACM Transactions on Software Engineering and Methodology · Feb 2026)
The most rigorous technical treatment of MCP on this list — a peer-reviewed survey that maps the full lifecycle of an MCP server across four phases (creation, deployment, operation, and maintenance), and systematically examines the security vulnerabilities that come with it, including prompt injection, over-permissioned tool access, and authentication gaps. Not a light read, but publishers evaluating MCP investments will find the security section particularly relevant: it's the most thorough documentation available of the risks that need to be designed around, and it provides a useful counterweight to the more optimistic industry coverage.
7. AI isn’t going to pay for content — at least not how you’re hoping it will (The Scholarly Kitchen · Jan 2026)
Part one of this two-part series argues that AI training licensing is a false revenue hope — one-time transactions with depreciating assets — and that the real opportunity lies in inference: content accessed at the moment a user asks a question. Part 2 offers the business case for inference monetization — content accessed through APIs and MCP at the moment AI applies it — is the durable opportunity.
8. There’s an elephant in the room, but not in your usage reports (The Scholarly Kitchen · Feb 2026)
Essential reading. Argues that publisher usage hasn’t disappeared — it’s been displaced to agentic platforms that current COUNTER metrics can’t see. Uses real examples from to show how MCP is at the center of this shift and what publishers need to do about it.
9. Usage data in an AI world: key shifts, challenges, and JSTOR’s response (JSTOR · Jan 2026)
Continuing the usage theme, a grounded look at how AI-mediated research is breaking traditional usage metrics. Covers COUNTER’s emerging work on AI-specific reporting and explains why the “cost-per-use” model breaks down when an AI agent reads an article on a researcher’s behalf.
10. Key takeaways from COUNTER's AI usage metrics consultation (COUNTER Metrics · Mar 2026)
After a timely community consultation that drew near-universal support, COUNTER's AI working group has committed to adding Access_Method: Agent to distinguish machine usage from human usage across Platform, Database, Title, and Item Reports — and is now developing new AI-specific metric types. For publishers managing library relationships and demonstrating institutional value, this is where the abstract conversation about MCP and agentic access becomes a reporting reality.
11. Research Solutions launches Scite MCP, connecting ChatGPT, Claude, and other AI tools to scientific literature (Research Solutions · Feb 2026)
A concrete, in-market example of what publisher-facing MCP implementation looks like from the intermediary side. Scite's MCP connects articles to MCP-enabled AI tools — with its proprietary Smart Citations layer, which classifies each citation as supporting, contradicting, or merely mentioning a finding, traveling along with the content. The detail worth noting for publishers: the launch currently covers open access articles, with paywalled content subject to ongoing publisher negotiations. That last sentence is the business model question in miniature — and it makes this a useful case study for publishers thinking through what controlled, authenticated MCP access to their own content could look like in practice.
INDUSTRY SIGNALS & STRATEGIC QUESTIONS
12. Tech trends deep dive: AI’s transformation of scholarly publishing in 2026 (Silverchair · Feb 2026)Silverchair and Hum’s annual Tech Trends Report, with MCP and agentic discovery running throughout. Includes VP of AI Jeremy Little’s observation that researchers are “shifting from traditional search-and-read patterns to having AI agents digest hundreds of papers on their behalf” — and that MCP is central to this shift.
13. Ask the right questions: A technologist's advice on MCPs (Silverchair, May 2026)
Silverchair’s Scott Bouchard observes that as publishers explore MCPs, much of the conversation has focused on opportunity; not enough has focused on mechanics. That gap matters because MCP is not just a new distribution channel. It is a layer of infrastructure with direct bearing on content authority, access rights, competitive positioning, and trust. Before the industry commits to building, buying, or partnering around it, there are questions worth sitting with.
14. The 2026 MCP roadmap (MCP Official Blog · Mar 2026)
Straight from the MCP maintainers: where the protocol is headed this year, including enterprise authentication improvements and scalability enhancements. Useful context for publishers evaluating MCP investments — understanding the standard’s trajectory helps inform timing and architecture decisions.
15. A beginner’s guide to MCP: what it is and why it matters (Cloudera · Jul 2025)
Zooming back out, this article takes the foundational concepts and applies them to enterprise strategy — covering how MCP keeps AI on task, enforces access boundaries, and operates across distributed environments. The enterprise framing translates well to publisher concerns around content governance and controlled AI access.
Wondering what this looks like in practice? Visit Silverchair's Discovery Bridge MCP page for details on the key benefits of MCP and scholarly publishing-specific uses case, including corporate content bundles and more. Want to keep learning? Join industry leaders in DC this Fall for Platform Strategies 2026, where we'll tackle the biggest topics in scholarly technology.