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model context protocol integrations

Model Context Protocol integrations that connect agents to your systems.

Gaper builds Model Context Protocol servers and clients that give your agents typed, governed access to your data, APIs, and tools. We wire the connections, ship them to production in your stack, and hand over code your team owns.

Book a free AI assessmentWhat is an AI agent?
Map the workflowBuild the supervised agentSandbox, verify, go live
gaper · agent runtime
$ gaper deploy agent --to production
✓ plan ……………… 4 steps
✓ retrieve …… 1,240 docs grounded
✓ tool ………… salesforce.update_record
✓ eval ………… 12/12 checks passed
● live · p95 1.2s · 0 errors
● in productionowned by your team
In one sentence

Model Context Protocol (MCP) integration is the work of connecting AI agents to your data, APIs, and tools through MCP servers and clients. It gives an agent a typed, permissioned interface to read records and take actions inside your systems, with auth, scoping, and audit trails built in.

ProductionNot another demo
Model-agnostic
In your cloudYour auth, your data
You own itCode, evals, runbook
Why this matters

An agent is only as useful as the systems it can reach. Most MCP work stalls at a local demo: a server that runs on one laptop but never gets auth, scoping, observability, or a production home where real agents can rely on it.

Production filter
  • Does it touch real systems?
  • Can the outcome be measured?
  • Where does human approval stay?
  • Who owns it after launch?
Free AI assessment

Book a free assessment. We will identify one high-leverage workflow, make the build-vs-buy call, and scope the smallest production release.

Map your first production agent
How we work

From strategy to production, owned by your team.

  1. 01

    Map the workflow

    We start from the documents, SOPs, portals, inboxes, and spreadsheets your team already uses, then turn the repeatable path into an agent workflow map.

  2. 02

    Build the supervised agent

    We build on OpenAI, Claude, Gemini, or the right model for the job, with evals, guardrails, citations, and human approval gates where risk matters.

  3. 03

    Connect the stack

    The agent gets the data layer, APIs, MCP tools, auth, and write-backs it needs to finish work inside your systems, not beside them.

  4. 04

    Sandbox, verify, go live

    We launch in a sandbox, verify every run, then move into supervised production with traces, rollback, and an owner.

What we build

Agents wired into the systems you already run.

Custom MCP servers

Servers that expose your databases, internal APIs, and SaaS tools as typed MCP resources and actions an agent can call safely.

Tool and action wiring

Write-backs that update the CRM, file the ticket, or post the record, scoped per tool with approval gates on risky steps.

Auth and scoping

OAuth, service accounts, and per-tool permissions so each agent reaches only the data and actions its task requires.

MCP client integration

We connect your agents to MCP servers, ours, yours, or third-party, on OpenAI, Claude, or Gemini, model-agnostic.

Resource and prompt design

Resources, prompts, and schemas shaped so the model uses them reliably, with grounding and citations where it matters.

Observability and audit

Traces on every tool call, cost and latency dashboards, and audit logs so you see exactly what the agent touched.

Deployed in your stack, not on a laptop

We host MCP servers where your data already lives: your cloud, your auth, your network controls. The connection inherits your security posture instead of widening your attack surface.

  • Runs in your environment or ours
  • SSO, OAuth, and per-tool scoping
  • Audit logging on every call
Deploy target
OpenAIOpenAIClaudeClaudeGeminiGeminiSalesforceSalesforceSnowflakeSnowflakePostgresPostgres
SSORBACAudit logCloud

You own the servers and the code

A forward-deployed team builds alongside yours and hands over a documented MCP layer you fully control. No black box, no lock-in, no connectors trapped behind a vendor.

  • Clean, documented server code
  • Schemas and runbook included
  • Extend and add tools without us
Handover state
handoff packageCode, runbook, evals, dashboard
owned by your team
Source repoRunbookEval suiteOwner training

Access your auth

Data your environment

Ops monitor or handoff

Built to be relied on in production

A tool an agent calls in production has to behave the same way every time. We add evals, error handling, and approval gates on risky actions so the connection holds up under real load and real edge cases.

  • Evals that gate every release
  • Approval gates on write actions
  • Rollback and escalation paths
Release gate
  1. 01Eval suiteknown + edge casespass
  2. 02Policy checkguardrails enforcedpass
  3. 03Human fallbacklow-confidence routedhold
  4. 04Releaseshipped to prodlive

p95 latency 1.2s

eval pass 12/12

rollback ready

Model and stack agnostic
OpenAIClaudeGeminiLangChainMCPPythonTypeScriptPinecone
FAQ

Questions buyers ask us.

What does an MCP integration actually include?+
We build the MCP servers that expose your data, APIs, and tools as typed resources and actions, wire your agents to them as clients, and add auth, scoping, observability, and approval gates. The result is a production connection layer your agents can rely on, deployed in your stack.
Can you deploy MCP servers inside our own cloud?+
Yes. For regulated or sensitive workloads we deploy MCP servers in your cloud with your security controls: SSO, OAuth, per-tool scoping, PII redaction, and full audit logging, so data never leaves your boundary.
Which models and agents can use what you build?+
MCP is an open standard, so the servers we build work across OpenAI, Claude, Gemini, and open models. We are model-agnostic and connect your existing agents and tools through standard MCP clients and your APIs.
Do we own the MCP servers after launch?+
Yes. You own the code, schemas, and runbook. We hand the layer to your team to extend and add tools, or run it under an SLA with observability and ongoing improvement, your call.
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Ready to deploy your first agent?

Book a free 30-minute assessment. We'll map the highest-leverage workflow and scope the smallest thing worth shipping, live in as little as 24 hours.

Build, deploy, runYour cloudYou own the code