AI Context London 2027: Everything You Need to Know

What Is AI Context London 2027?

AI Context London 2027 is a two-day, practitioner-focused summit taking place on 10–11 February 2027 in London, United Kingdom. Formerly known as MCPconference, the event has been rebranded under the AI Context Series banner while retaining its core focus: helping teams run agentic AI in production. The programme is built around the practical realities of deploying and operating AI agents at scale, with particular attention to the Model Context Protocol (MCP), tool access, security and governance, and platform cost control.

The event is designed squarely for practitioners — the engineers, platform teams and technical leaders who are responsible for keeping agentic systems running reliably in live environments. Rather than a showcase for vendor roadmaps, AI Context London 2027 is structured around talks, hands-on workshops and dedicated hallway time, with an explicit no-product-pitches policy. That format reflects a broader shift in the AI conference landscape: as agentic systems move from experimentation into production, teams need peer-to-peer knowledge exchange more than they need marketing.

The rebrand from MCPconference to AI Context London signals a widening scope. While the Model Context Protocol remains central — unsurprising given its role in standardising how agents access tools and data — the agenda now extends to the operational concerns that determine whether agentic deployments succeed or stall: governance frameworks, security boundaries for tool access, and the cost discipline required to run agent platforms sustainably. For teams that have moved past proof-of-concept and are now confronting production realities, that combination is directly relevant.

Why It Matters for AI Professionals

Agentic AI has become one of the defining deployment patterns of the mid-2020s, but the gap between a working demo and a governed, cost-controlled production system remains substantial. AI Context London 2027 addresses that gap head-on. The summit’s focus on tool access and the Model Context Protocol is particularly timely, as MCP has emerged as a common interface for connecting agents to external systems — and with that adoption comes a set of security and governance questions that many teams are still working through.

For attendees, the value proposition is practical rather than aspirational. The no-pitches format means sessions are led by people describing what actually worked, what failed, and what they would do differently. Platform cost control, in particular, is a topic that rarely gets dedicated conference attention despite being a persistent pain point for teams running agents at scale. AI Context London 2027 gives it equal billing alongside architecture and security, which should appeal to anyone accountable for both reliability and budget.

What to Expect

AI Context London 2027 is organised around a set of core themes that map to the production lifecycle of agentic AI. Attendees can expect a mix of talks, workshops and informal discussion, with the following areas forming the backbone of the programme:

• Model Context Protocol (MCP): Implementation patterns, lessons learned and emerging practices for standardising agent-to-tool connections.
• Tool access: Designing and managing the interfaces through which agents reach external systems and data.
• Security and governance: Guardrails, permissioning and policy frameworks for agents operating in production environments.
• Platform cost control: Approaches to managing the operational expense of running agentic AI at scale.
• Hallway time: Structured and unstructured networking with peers facing similar production challenges.

Specific speakers, session titles and workshop schedules for AI Context London 2027 are details to be announced. Given the event’s practitioner-first positioning, sessions are expected to emphasise first-hand operational experience over product demonstrations, consistent with the summit’s stated no-product-pitches policy.

Who Should Attend

AI Context London 2027 is aimed at technical practitioners and the leaders who support them. The primary audience includes software developers and engineers building agentic systems, platform and infrastructure teams responsible for running AI in production, and security and governance professionals tasked with defining how agents access tools and data. Engineering managers, technical architects and AI platform leads will also find the cost-control and governance content directly applicable to their responsibilities.

Because the programme assumes familiarity with production AI systems, the event is less suited to those seeking a general introduction to AI. It is, however, well matched to teams that have already deployed agents and are now looking to harden, secure and rationalise their implementations — or to organisations preparing to move agentic pilots into live environments and wanting to learn from those who have already done so.

How to Register

Registration for AI Context London 2027 is handled through the official event website at https://www.aicontextseries.com. Full details on ticket types, pricing and the complete programme are details to be announced, so prospective attendees should check the site directly for the latest information and to secure places for the 10–11 February 2027 dates in London.