Your goal
Be visible where AI answers
Automate processes
Build a product
Put AI agents to work
Connect and modernize systems
Know where we stand
Use Cases
CRMStrengthen customer relationshipsPopularE-CommerceBoost online revenueBooking System24/7 appointment bookingProject ManagementCoordinate teamsInvoicingGet paid fasterAnalyticsData-driven decisionsBe visible where AI answers
MCP servers built to the current specification: tool design, Streamable HTTP, OAuth 2.1 with PKCE, testing and operations – drawn from running our own production server.
Fixed price after scoping · proposal within 48 h
Reviewed: September 2026
The Model Context Protocol (MCP) is an open standard through which AI applications such as Claude, ChatGPT or Cursor use tools, data and prompts from external systems in a uniform way. Anthropic published MCP in 2024; since December 2025 it has been developed under the Linux Foundation’s Agentic AI Foundation. Current specification revision: 2026-07-28.
With the 2026-07-28 specification, MCP became stateless: the initialize handshake and the session ID are gone, every request carries its own protocol version and client capabilities, and servers describe themselves via server/discover. That lets MCP servers scale behind an ordinary load balancer. Questions back to the user go through Multi Round-Trip Requests, long-running work through the Tasks extension, interactive interfaces through MCP Apps. For client registration, the specification recommends Client ID Metadata Documents over Dynamic Client Registration. We build your server towards this state without locking out clients on older protocol versions. Our own server at mcp.contextstudios.ai runs in production on protocol 2025-11-25 and already implements parts of 2026-07-28 – no sessions, server/discover, deterministic tool ordering and cache hints. We are migrating the remaining points step by step, and we guide you through the same migration.
For companies that want to connect Claude, ChatGPT, Cursor or their own agents to internal systems, databases and business applications – with tightly scoped permissions instead of full access. Also for teams that already run an MCP server and want to move it to the 2026-07-28 specification. And for companies that want AI assistants to pull their services, products and facts straight from the source – as they can through our own public endpoint.
We select the optimal tech stack for your specific requirements
Four weeks on one goal, with something that runs at the end.
4 weeks · fixed price after scopingWe build the project out and stay alongside you once it is live.
after scoping, ongoing · fixed price after scoping; support billed monthlyWe define which data and actions an AI agent may reach through the server, and which are explicitly off limits.
W1Tools are implemented with permission checks, input validation and logging, and tested against real clients.
W2-3Go-live in your environment and documentation for your team; followed by 30 days of bug fixing.
W4Talk to us for 30 minutes with no obligation, or write to us directly.
Fixed price after scoping · proposal within 48 h
