QS MCP
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A Quantum Symbiote Service · QTB-SVC-006

Your internal stack —
exposed to Claude as native tools.
No copy-paste.

A custom MCP (Model Context Protocol) server makes Notion, GitHub, Linear, your wiki, your CRM, your internal APIs into first-class Claude tools. The agent reads, writes, searches, and updates — without you ever leaving the conversation.

Turnaround
7 days · 72-hour rush available
Hosting
Your infra (Railway, Fly, Vercel, self-host)
Surfaces
Claude Desktop · Claude Code · Web · API
Support
30 days included · 60 at Premium
3 → 0
Context-switch roundtrips per task — typical pipeline
8m → 90s
Ticket-triage time once the MCP is wired
HTTP + SSE
Both transports — works with every Claude surface
0
Vendor-hosted middleware. Lives on your infra.
The problem

Your team uses Claude. Your team also uses six other tools.

The team has built a Claude habit. Code review, spec drafting, ticket triage, project planning — Claude is in the loop. But Claude doesn't know what's in Notion. Doesn't know which tickets are open. Doesn't know what the wiki says about the API.

So every interaction is a copy-paste roundtrip. Paste the spec. Paste the ticket. Paste the wiki excerpt. Then ask the question. Then context-switch back to actually do the thing.

An MCP server fixes this at the protocol level. Notion becomes notion_read. GitHub Issues becomes github_issues. The wiki becomes wiki_search. Native Claude tools, callable from any surface, no middleware.

The agent does the reading. The agent does the searching. The agent drafts the update and posts it. You stay in one conversation.

The 5-stage build

From integration scope to working MCP server — in 7 days.

One human-gated intake. Three production stages. One human-gated handoff. Server lives on your infrastructure from day one.

Stage 01

Scope

Which systems to expose. Which operations are read-only. Which require write-access auth. Which auth flow (OAuth, PAT, service account, internal token). Scoped before we touch code.

Stage 02

Tool authoring

Each tool spec'd to the MCP contract: name, description, structured input schema, structured output, error envelope. Description quality is the ranking signal Claude uses — we write them carefully.

Stage 03

Server & transport

HTTP + SSE endpoints. Auth middleware. Rate limiting. Structured logging. Deployable to Railway, Fly.io, Vercel, or self-hosted on your stack.

Stage 04

Surface integration

Install instructions for Claude Desktop, Claude Code, and the API. Config snippets ready to paste. Smoke tests for each surface.

Stage 05

Handoff & support

You wire it into your team's daily flow. One revision pass included. 30-day support covers auth-rotation breakage and platform updates.

  • D1
    MCP server sourceTypescript or Python (your call). Versioned, documented, deployable.
  • D2
    Tool specsEach tool documented: schema, examples, when to use, when to skip.
  • D3
    Auth integrationOAuth flow, PAT handling, service account — whatever the target systems require.
  • D4
    Deployment configDockerfile, Railway/Fly.io config, or self-host setup notes. Pick one or all.
  • D5
    Install instructionsClaude Desktop · Claude Code · Web · API — config snippets for each, tested.
  • D6
    Operator READMEHow to add new tools, rotate auth, debug failures. Team-readable.
What we don't build

Vendor-lock middleware.

The server lives on your infrastructure. Your auth. Your data. If you want to move to a different host next year, you copy the repo to the new host and run it. No platform-as-a-service hosting your gateway.

And we don't add tools we couldn't defend. Every tool has a clear scope, a documented use case, and a typed schema. Claude's tool-selection logic ranks well-written tools higher — vague tool descriptions hurt more than they help.

"An MCP tool is a contract. Names ARE specs."
Pricing

Three tiers. Fixed price. Scoped by tool count and auth complexity.

Pick by integration count and auth model. Single read-only system at Entry. Multiple systems with writes at Standard. Full team MCP architecture at Premium.

Entry
1 system. Read-only. 1–3 tools. Standard auth (PAT or API key).
$500
Fixed · 7-day delivery
  • Single system integration
  • Read-only tool surface
  • HTTP + SSE transport
  • Deploy to Railway / Fly / Vercel
  • Install instructions for one surface
  • 30-day support
Start an Entry build
Premium
4+ systems. Custom auth flows. Observability dashboard. Team rollout support.
$2,000
Fixed · 10-day delivery
  • Everything in Standard
  • 4+ system integrations
  • Custom auth flows (multi-tenant, scoped tokens)
  • Observability dashboard (tool usage, latency, errors)
  • Team-wide rollout + recorded walkthrough
  • 60-day support + monthly tune-up
Start a Premium build
Add-ons (any tier)
Rush delivery (72 hours)+$300
Additional system integration+$400 each
Multi-tenant scoping (per-user auth)+$500
Observability dashboard add-on+$400
Self-host setup on your servers+$300
Team training session (30 min)+$200
Case · QS-CASE-005

Three internal systems → zero context-switch.

3 → 0
Context-switch roundtrips per task
8m → 90s
Ticket-triage time per ticket
3
Tools shipped: notion_read, github_issues, wiki_search
The setup

A 4-person product team using Claude for code review, ticket triage, and project planning — with three context-switch roundtrips per task. Paste the spec from Notion. Paste the ticket from GitHub. Paste the wiki excerpt. Then ask the question.

The MCP server exposed all three systems as Claude-native tools. notion_read fetches any page or database entry by title or ID. github_issues reads, creates, and updates tickets. wiki_search does semantic top-3 retrieval across the internal wiki.

Ticket triage dropped from 8 minutes to 90 seconds. Claude reads the ticket, searches the wiki for prior context, suggests a fix, and drafts a GitHub comment — all in one conversation. Team adopted a "spec-first" workflow: every feature now starts with a Notion spec fetched into Claude, reviewed, and refined before any code is touched.

QTB-SVC-006 · Client identifier withheld · Verifiable references on request
Start an MCP build

Tell us about the systems. We'll confirm integration scope before kickoff.

Submit the form. Scoping call within 24 hours. We'll review the systems and auth model before scoping a tier.

Submitting routes to [email protected]. Scoping call within 24 hours.
Frequently asked

Common questions before kickoff.

What's an MCP server, and why do I need one?
MCP (Model Context Protocol) is Anthropic's open standard for connecting Claude to external tools. An MCP server runs on your infrastructure and exposes operations (read a Notion page, search the wiki, create a GitHub issue) as native Claude tools. The agent can invoke them directly inside any Claude conversation — Desktop, Code, web, or API — without copy-paste roundtrips.
Why not just use a Zapier-style integration?
Different layer. Zapier is for triggers and automations between systems. MCP is for letting Claude itself read from and write to those systems mid-conversation. Both can coexist — but if your team's daily workflow is "ask Claude, look something up, tell Claude what you found," MCP eliminates the lookup step.
Where does the server run?
Your infrastructure. We deploy to Railway, Fly.io, Vercel, or your own servers. We don't host a gateway service that your data flows through — you control the runtime, the auth, and the data path.
What about authentication?
We wire whatever the target systems require. PAT for GitHub, OAuth for Notion, service account for Google, internal tokens for your custom APIs. For multi-tenant scoping (each user's auth, not a shared service account), use the Premium tier or the per-user auth add-on.
Can the server write to my systems, not just read?
Yes — Standard tier and above. Write tools include confirmation flows so the agent doesn't ship destructive changes by accident. Every write tool emits a structured log so you have an audit trail.
What if I add a new system later?
Additional system integrations are $400 each as add-ons, or you can extend the server yourself using the patterns we ship — the operator README walks through how. The server architecture is built to add tools without redeploying.