Anthropic · Claude agents, Skills, MCP and training Claude, end to end: agents, Skills, MCP and training.

Building Model Context Protocol servers for your own systems — CRM, billing, internal APIs, domain models — rather than relying only on off-the-shelf servers. An MCP server exposes tools, resources and prompts through one discoverable, model-agnostic interface. We build each one with scoped credentials, allow-lists and audit logging, so an agent gets exactly the access it needs and nothing more.

Reusable, filesystem-based capability packages — a folder with a SKILL.md — that load on demand through progressive disclosure. The skill’s short description sits in context; the full instructions load only when the task calls for them. That turns a general Claude agent into a specialist without bloating its context or cost.

Subagents let a lead Claude agent delegate independent sub-tasks to separate agents, each in its own context window, so only their conclusions return to the lead. In Claude Code they run as distinct agent types (a read-only Explore agent, or custom agents under .claude/agents/), spawned in parallel. On the Claude Agent SDK and Managed Agents, a coordinator delegates to a roster of agents in context-isolated threads, one level deep. Subagents can run on cheaper Claude models such as Haiku 4.5 to control cost, and suit parallel or independent workstreams better than tightly sequential steps.

Yes — as bespoke, in-house training for one organisation at a time, on-site in Kolkata and Mumbai or live online for teams anywhere in India. We do not run open courses or a fixed syllabus. You choose the scope: an organisation-wide rollout, a single department such as procurement, finance or engineering, or one process taken end to end — tender evaluation, claims handling, month-end close. Before a cohort we sit with your teams to learn that work, the systems behind it and the regulatory constraints of your sector, then write the exercises against your own workflows, repositories and data. Tracks span business teams, engineers, Agent Skills and subagents, custom MCP development, and a briefing for leaders, each taught by engineers who build and govern agentic systems in production.

The engineering track is built around your codebase, not a sample project: Claude Code working inside your own repositories, with the prompting and review habits that suit your stack and review process. From there teams package the workflows they repeat every week as versioned Agent Skills, learn when to delegate to subagents, and build a custom MCP server for one of your internal systems with scoped credentials, allow-lists and audit logging. Teams leave with working artefacts of their own, not slides.

It depends on the task: Claude Opus 5 (1M context) for demanding agentic work; Claude Sonnet 5 for the best balance of speed and intelligence; Claude Haiku 4.5 for fast, cost-effective and subagent work; and Claude Fable 5.1 for the hardest long-horizon problems. We are model-agnostic (BYOM) and often route different steps of one loop to different tiers.