MCP development
MCP server development — proven on this site, not just pitched
MCP (Model Context Protocol) is what lets Claude, ChatGPT, or any AI client call your actual tools and data directly, instead of you copy-pasting context into a chat window. Tunovix builds MCP servers for clients — and runs one publicly, right now, at tunovix.com/mcp, exposing 23 real, callable tools and 2 resources.
See it work, right now
Point any MCP-capable client at https://tunovix.com/mcp (streamable-http transport) and call tools/list — it returns the real, current schema for all 24 tools: 8 are project-cost calculators, built with the exact same enumFromKeys() pattern that keeps a tool's inputs from drifting out of sync with the actual application code behind them; 12 are multi-turn interactive workflow walkthroughs (customer support, document processing, sales qualification, and nine more real patterns) that accept a followUp id to continue a conversation instead of replaying a single scripted response; one matches a described business problem to a real published use case; one runs the same content search the RAG search demo uses, over this site's own indexed content; one runs a real, live AI-discoverability audit of any URL you give it — the same audit behind the discoverability checker; and one fingerprints the WAF/CDN in front of any URL — the same check behind the WAF checker. There's also a structured resources/read endpoint on tunovix://agent-build-methodology for checking what a Tunovix-built agent's guardrails/evals/audit-logging setup actually includes. None of this is a demo environment — it's the live production endpoint. Full request/response examples: API reference.
What an MCP build for you looks like
The same pattern as the internal one above, pointed at your systems instead: read access to your documents or database, write access scoped to specific, narrow actions (never broad file/shell/deploy access), and a schema that's generated from your actual application logic where possible, not hand-typed and left to drift. See the internal knowledge agent use case for the shape of a typical build — Drive, Notion, Slack, a database, and internal APIs, all reachable through one MCP server.
Why this is more than a buzzword here
Real engineering write-ups exist because real MCP work happened, not the other way around: read about the 2026-07-28 spec revision that made MCP fully stateless and what it means running on Cloudflare Workers, or the gotchas hit wiring an MCP server, a signed Agent Card, and health checks into a production Worker — the kind of detail that only comes from having actually shipped it.
Cost and timeline
Pricing actualised on September 2026An MCP server exposing a handful of tools against your existing systems typically lands around $2,050–$4,350 and 3-4 weeks — see the full AI agent cost breakdown for how that compares to other agent types, or run the calculator with your real scope.
Check whether an MCP Server Card already existsReal, live check of any URL — including whether it already publishes an MCP Server Card and A2A Agent Card, not just robots.txt and a sitemap.Try it liveHave a product in mind? Let's scope it this week.
A 30-minute call gets you a rough timeline and cost — no obligation, no sales deck.