MCP Server Development
Expose your product to AI—safely and predictably
We design and build Model Context Protocol (MCP) servers that make your data and actions reliably available to AI agents and LLM-powered apps. From API design and security to client integrations and front-end UX, we deliver the complete path: server + client.
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Aligned to US time zones.
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Dual language: EN/ES.
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Your IP, your rights.
What is an MCP server (in plain terms)?
Think of MCP like a well-structured API for AI tools. Your product’s capabilities—search, create, update, workflows—are described as tools with inputs/outputs, auth, and safety rules. Agents and LLM clients call those tools consistently, with less custom glue code and fewer edge-case surprises.
The MCP Server
Tool & resource definitions
Inputs / Outputs, descriptions and examples
Auth & security
API keys / OAuth, scopes, least-privilege, rate limits
Transport & streaming
Real-time events where needed
Error contracts & retries
Clear failures, timeouts, idempotency
Observability
Inputs / Outputs, descriptions and examples
Dev setup, runbooks, change logs
Dev setup, runbooks, change logs
The Client / Product Integration
SDKs or adapters
TypeScript/JS or your stack
Front-end client
The UI that invokes MCP tools—web or in-app
Prompt / use-policy guides
Guardrails, safe defaults, examples
CI/CD & environments
Dev / Stage / Prod, secrets, rollback
Onboarding
Keys, scopes, connection health checks
Already have REST/OpenAPI?
We can wrap your existing endpoints into MCP tools with minimal churn.
Why MCP
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Interoperability
A consistent way for many AI clients/agents to use your product.
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Safety
Input contracts, permission scopes, and auditability by default.
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Speed to ship
Faster than one-off “AI integrations” per client.
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Maintainability
Versioned tools and deprecation paths, not breaking changes.
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Measurable impact
Usage analytics, latency, and success rates you can tune.
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Ownership
Your team owns updates — we just make it easy. Train once, iterate confidently, no vendor lock-in.
Start your next project today. Let’s make it simple.
Schedule a CallUse cases we support
SaaS exposing a toolset
Create leads, run reports, trigger workflows
Data platforms
Query, filter, aggregate, export
Operations/DevOps
Tickets, incidents, deploys, runbooks, cost checks
Internal apps
Finance, inventory, knowledge search
Engagement & Payment Models
Fixed-Scope
Clear deliverables (e.g., MVP server + one client adapter)
Hourly (T&M)
Evolving scope or discovery-heavy integrations.
Dedicated
Embedded engineer(s) to iterate with your team.
Security & compliance (baked in)
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Principle of least privilege • Key rotation • Secrets management
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Rate limits & quotas • Audit logs
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Environment isolation • SOC2-friendly patterns
Process
Complex features/integrations may add time—we’ll flag that up front.
Discovery (1–2 weeks)
Goals, tools to expose, auth model, target AI clients, risk map.
MCP Server MVP
Tool schemas, auth, observability, staging deployment, docs.
Client Integration
SDK/adapter + front-end UX to invoke tools safely and clearly.
Hardening & Launch
NFRs (latency, throughput), error budgets, runbooks, rollout plan.
Operate & Improve
Monitoring, analytics, A/B on prompts/tool shapes, versioning.
Frequently Asked Questions
No. We can design greenfield tools - or wrap your REST/OpenAPI with MCP.
Common choices: TypeScript/Node, Python, Ruby on Rails (your stack works). We’ll match your infra and CI/CD.
Yes—web app or in-product UI that authenticates, invokes tools, and shows results.
Semantic versioning on tools/resources, deprecation windows, compatibility tests.
You do. Your IP, your rights.
Ready to explore your MCP roadmap?
Pick a time that works for you. We’ll map candidate tools, auth, and the best path to an MCP MVP.
