Agent Infrastructure — MCP Server Development
Connect Claude (and ChatGPT and Cursor) directly to your business data and tools.
An MCP server is a live bridge between AI assistants and your internal systems — your database, your CRM, your billing platform, your custom admin panel, your marketplace data, your sales channels. Instead of copying and pasting data between tools, your team can just ask in natural language and get the answer immediately.
Five tiers, from a lightweight dashboard pilot to full enterprise integration. Built to the latest industry standards with modern secure authentication — so your security team approves it and your auditors don't flag it. Works with every major AI assistant your team already uses (Claude, ChatGPT, Cursor, and more). Source code is yours on day one. Runs in your cloud, not ours.
Real-world queries clients ask
- "What's our pipeline value for accounts not touched in 30 days?" — Claude queries your CRM directly.
- "Pull last week's churn list and draft outreach for each customer." — Claude reads your billing system, writes the emails.
- "Show me Sentry errors for the past hour grouped by service." — Claude calls Sentry, summarizes.
- "Show competitor price movement across our tracked SKUs for the past 7 days." — Claude calls your data tool, flags significant changes.
Is MCP right for you? Full MCP builds (Connector / Suite / Platform) typically suit companies with internal engineering teams or $20M+ ARR. For smaller operations, first-time MCP buyers, or teams just validating the concept — start with the Dashboard Pipeline ($4,500) or Production Hardening ($5,500). Both credit 100% toward a Connector upgrade within 90 days.
Entry tiers — try MCP before committing to a full build
Fixed-scope, lower-commitment starting points. Both convert to a Connector / Suite / Platform build with full credit if you need production-grade scope within 90 days.
MCP Dashboard Pipeline
$4,500 one-time
What changes
A live dashboard for your real business data — revenue, pipeline, support, operations, whatever you need to see — deployed to a URL your team can check 24/7. No more logging into 5 systems to get one answer. No more CSV exports. No engineering hires.
- One of your business systems connected to your dashboard — database, CRM, billing, analytics, ticketing, anything that holds your numbers (we handle the technical connection — no protocol knowledge required)
- A deployed dashboard at a URL your team can check 24/7 (default: Next.js on Vercel's free tier — any framework or host available on request)
- Your dashboard reads from a data file that refreshes on schedule — no live database credentials to manage, no ongoing hosting costs beyond the platform's free tier
- Automatic refresh on whatever schedule fits — daily, weekly, monthly, your call
- 1 walkthrough call (30–60 min)
- 14 days post-delivery bug-fix support
- 7–14 business day delivery
- 100% upgrade credit toward MCP Connector within 90 days
ROI: A shareable dashboard for your real data, built in days not sprints. Your team sees live numbers. Your investors see proof. You skip weeks of internal engineering.
MCP Production Hardening
$5,500 one-time
What changes
Your DIY MCP becomes production-safe. The piece you couldn't finish on your own — enterprise authentication, proper logging, tested against every major AI client — finished in under two weeks.
- Modern enterprise-grade authentication so your security and compliance teams approve it without question (technical: OAuth 2.1 + PKCE + RFC 9728 Resource Indicator compliance)
- Cloud-deployable upgrade if your MCP only runs on a local machine right now (technical: Streamable HTTP transport migration from stdio)
- When something goes wrong, you'll see exactly what and where — no more silent failures (technical: structured logging + production error tracking integration)
- A safe-copy environment to test changes before they hit real users, plus documentation your team or future engineers can actually follow
- Tested against every major AI assistant your team might use (Claude Desktop, Claude Code, ChatGPT, Cursor, Continue, Cline)
- 1 walkthrough call
- 7-day post-delivery bug-fix window
- 5–10 business day delivery — guaranteed
ROI: Skip 2–3 months of MCP spec research and 40+ hours of authentication implementation. Your existing code becomes safe to hand to paying customers, compliance teams, and enterprise buyers.
Full production builds
End-to-end MCP builds for companies replacing agency work, integrating multiple systems, or deploying to enterprise-grade SLAs.
MCP Connector
$9,500 one-time
What changes
Stop copy-pasting between Claude/ChatGPT and your tools. Save ~10 hours/week of manual lookup.
- One business system connected so Claude or ChatGPT can query and update it directly — 6 to 10 actions supported (examples: "pull customer records," "create ticket," "update account notes")
- Simple authentication that fits your system — either a basic API key (fastest) or modern secure login (technical: OAuth 2.1 with PKCE)
- Cloud-deployable production-grade technology (technical: Streamable HTTP transport)
- Runs in your cloud (Fly.io, Railway, AWS, Google Cloud, Azure — you pick) — you own the infrastructure
- Full error visibility — alerts the moment something breaks, not days later (technical: structured logging + Sentry integration)
- Works with every major AI assistant (Claude, ChatGPT, Cursor, and more)
- 1× 60-min training walkthrough (recorded for your team)
- 14 days post-launch bug-fix support
- Working demo by Day 5 — guaranteed
- Production-ready in 2-3 weeks
ROI: ~$52K/year of engineering time recovered. Pays back in ~4 months.
MCP Suite
$14,500 one-time
What changes
Multi-system fluency for AI assistants. Replace $60K+/year of point SaaS subscriptions with one custom layer.
- Three business systems connected (example: CRM + billing + data warehouse) — around 20 to 25 AI actions supported across them total
- One login that works across all three systems — users don't re-authenticate three separate times (technical: RFC 9728-compliant shared OAuth 2.1 authorization layer)
- 3-5 pre-built AI workflows that pull from multiple systems at once (example: "show me churn-risk accounts + their billing status + any open support tickets")
- Fine-grained access control — the AI only sees what you explicitly authorize (technical: RFC 9728 Resource Indicators per MCP spec 2026-03-15)
- Reliable cloud-deployable technology (technical: Streamable HTTP transport)
- Runs in your cloud with a safe-copy environment for testing changes before they hit real users
- Full error visibility across all three systems (technical: structured logging + Sentry)
- Works with every major AI assistant (Claude, ChatGPT, Cursor, and more)
- 2× walkthroughs (one for your engineers, one for business users)
- 30 days post-launch tuning
- Working demo by Day 10 — guaranteed
- Production-ready in 4-6 weeks
ROI: Pays back in <12 months from SaaS subscription replacement alone. Eliminates vendor lock-in forever.
MCP Platform
$24,000 one-time
What changes
Production-grade enterprise integration. Comparable to internal eng team build ($300K+/year) at one-time cost.
- Five business systems connected — around 30 to 40 AI actions supported across them total
- Enterprise authentication with fine-grained access control (technical: OAuth 2.1 with RFC 9728 Resource Indicators)
- AI can pull data, make updates, or run bulk operations — not just read-only
- Real-time reactions — when something changes in one system, the AI acts immediately without waiting for a query (technical: webhooks support)
- An admin dashboard showing exactly how the AI is being used — which actions get called most, where things slow down, where errors happen
- A separate testing environment from live, plus automated deployment pipelines so updates ship safely (technical: staging + production with CI/CD)
- Tested under real-world traffic volumes with documentation your auditors will accept (technical: load testing with documented results)
- Works with every major AI assistant (Claude, ChatGPT, Cursor, and more)
- 3× walkthroughs + 1× admin training
- 90 days post-launch tuning
- Working demo and production-ready timeline scoped on kickoff call based on integration complexity, auth provider requirements, and staging environment constraints
- Enterprise features — single sign-on (SSO/SAML), role-based permissions (RBAC), multi-tenant setup — available as custom scope. Book a call.
ROI: Replaces $60–120K/year in custom agency retainers or fragmented integration SaaS subscriptions with $24,000 once. Source code yours forever. Pays back in <12 months.
Prefer to build it yourself? Buy the blueprint instead.
If you already have engineers (or Claude Code + your own time), we sell the MCP Dashboard Pipeline Blueprint — $497 one-time. It's the exact setup guide we ship to full-build clients — plus sample SQL query templates, refresh orchestration scripts, scheduling examples, and a 30-minute walkthrough call so your team doesn't get stuck. Typical delivery 5–7 business days after purchase. See all blueprints ↑
Optional managed retainers — choose if you don't have internal engineering support
You own the source code on day one and can have your internal team maintain it. If you don't have engineers, we offer optional retainers:
- Managed Refresh — $497/month: For Dashboard Pipeline clients. We run your data refresh on whatever schedule you pick (weekly, bi-weekly, monthly), handle the commit, and your dashboard auto-updates. Each refresh includes a schema-drift check — we flag any changes to your source data structure. Plus a quarterly data quality review. Best for teams who want the dashboard but don't want to manage scheduled jobs themselves.
- Maintenance Lite — $950/month: 24-hour response on issues, regular updates (as major MCP spec or client SDK changes ship) so your MCP keeps working as Claude, ChatGPT, and other AI tools evolve, security patches, uptime monitoring, quarterly review call. Best for Connector clients without internal engineers.
- Maintenance Standard — $2,500/month: 4-hour response on urgent issues, everything in Lite + we add 1 new AI action per quarter + monthly usage and performance report. Best for Suite or Platform clients.
- Maintenance Premium — $4,500/month: 2-hour response on urgent issues, dedicated Slack channel, everything in Standard + 1 new AI action per month + advisory and scoping help if you ever need to switch login providers (e.g., Okta to Auth0) — migration execution scoped and priced separately if needed. Best for mission-critical Platform deployments.
Included at every tier
- Free 60-min discovery call → written scope document within 48 hours
- Compatibility verified at delivery with every major AI assistant your team uses — Claude Desktop, Claude Code, ChatGPT (Apps SDK), Cursor, Continue, Cline
- Source code is yours on day one — no vendor lock-in, no escrow arrangements needed
- Runs in your cloud — we deploy to AWS, Google Cloud, Azure, Fly.io, or Railway (you own the infrastructure, we never hold your data). First deployment to an unfamiliar cloud may extend the timeline; we flag any risk on the kickoff call.
- Built to the latest industry standards with modern secure authentication (technical: MCP spec 2026-03-15 with OAuth 2.1 PKCE and Resource Indicators)
Common questions
Q: Can't I just buy a $1,000/month SaaS subscription that does this?
If your business runs on one tool, a $12,000/year subscription works fine. If your business runs on five tools that need to talk to each other — your billing platform + your CRM + your data warehouse + Slack + your custom admin panel — no SaaS exists that wraps all of them. We build it once, custom to YOUR specific stack, and you own the source code forever. Subscription = $60,000 over 5 years for generic features. Custom Connector = $9,500 once.
Q: What's the difference between MCP Dashboard Pipeline and MCP Connector?
Dashboard Pipeline ($4,500) delivers a URL where your team sees live numbers — data is pulled on schedule, committed as a static snapshot, deployed as a dashboard. Read-only, refreshed daily/weekly/monthly. Best when you want "show me the data" without your team logging into 5 different systems. MCP Connector ($9,500) is different — it connects your system live to Claude, ChatGPT, and Cursor so the AI can query AND make updates in real-time during conversations. Best when you want the AI to take action in your tools, not just display them. Most teams start with Dashboard Pipeline and upgrade — the $4,500 credits 100% toward Connector within 90 days.
Q: How is this different from Zapier or Make?
Zapier and Make ship pre-defined workflow automation — "when X happens, do Y" on a schedule. MCP is different. It gives Claude, ChatGPT, and Cursor live access to your tools so they can answer questions and take actions in real-time during conversations. Ask "show me yesterday's churn list and draft outreach for each customer" and Claude queries your billing system, reads the data, writes the emails — all in one chat. Zapier can't do that. It can only run pre-built workflows on triggers.
Q: Can't my engineering team just build this themselves?
You can. The MCP spec is public, the SDKs are free, and any senior Python engineer can ship a basic server in 1-2 weeks. We charge for production hardening: OAuth 2.1 compliance with the 2026-03-15 spec including Resource Indicators and PKCE, Streamable HTTP transport that doesn't break under concurrent load, MCP client compatibility testing across Claude Desktop / Claude Code / ChatGPT / Cursor / Continue / Cline, and pattern recognition from production MCP deployments — specifically the authentication traps that break most first-build attempts. Most internal teams underestimate auth complexity and ship something brittle. We've already debugged those issues.
Q: How do you prevent the AI from doing something bad with write access?
Every action the AI can take is explicitly defined in scoping — the decision set is bounded, not open-ended. Write operations can be gated behind human approval (example: "draft the email in Slack, wait for a thumbs-up before sending"). Anything outside the defined decision set escalates to a named human within one message hop. Every action is logged to an audit trail that's queryable and exportable. You decide what the AI can do, what needs approval, and what escalates — before we ship.
Q: What if Claude gets worse and I want to switch to ChatGPT or Cursor?
MCP is an open protocol, not a Claude-only feature. ChatGPT, Cursor, Continue, Cline, and most major AI assistants support it. Your MCP server works with all of them simultaneously, today. If Claude gets worse and ChatGPT gets better, you switch the AI assistant without rebuilding the integration. Your investment is in the connection layer, which is portable.
Q: What if Anthropic changes the MCP spec?
The MCP spec has had regular backward-compatible updates every 3-6 months since launch. Breaking changes get long deprecation windows. If you take the optional maintenance retainer ($950+/month), we keep your server spec-compliant. If you self-maintain, the source code is yours and any Python engineer can apply spec updates.
Need more — SSO, multi-tenant, or custom enterprise scope?
Enterprise SSO/SAML integration with your IdP (Okta, Azure AD, Auth0), RBAC, audit logging, multi-tenant architecture, and custom MCP builds are available. Book a 15-minute call to scope it →