Trusted By Startups, SMBs to Fortune 500 Brands
Add engineers who can design, build and operate secure Model Context Protocol servers, clients and integrations—connecting approved AI hosts to business tools and data with explicit permissions, tested schemas and accountable handoff.
16+ Years of AI & Software Delivery
250+ Engineers Across AI, Data, Cloud, Security & Product Engineering
U.S.-Led Project Management | Global Delivery
Hire MCP developers for one server, client integration or security gap—or for ownership across discovery, schemas, authorization, testing, deployment and handoff.
Map hosts, clients, systems, users, permissions and risk; select protocol capabilities, transport and deployment boundaries before implementation.
Build servers that expose approved business capabilities through bounded tools, resources and prompts with validated schemas and predictable errors.
Connect compatible AI hosts or custom clients, implement discovery and capability negotiation, and define user consent, approval and fallback behavior.
Wrap APIs, databases, files and workflows with clear descriptions, least-privilege inputs, structured outputs, pagination and safe read/write boundaries.
Implement OAuth-based authorization where applicable, audience and scope checks, secrets handling, isolation, validation, approvals, audit logs and threat controls.
Test protocol behavior, clients, transports, failures, permissions and load; deploy with observability, runbooks, versioning and ownership transfer.
Our MCP developers bring proven experience across host-client-server architecture, tools, resources and prompts, transports, authorization and security, enterprise integrations, and compatibility testing and deployment. For broader orchestration and multi-agent workflow ownership beyond the protocol layer, see our team who hire AI agent developers, or explore managed custom AI agent development engagements.
Design host, client and server boundaries with explicit initialization, lifecycle and capability negotiation before implementation begins.
Define bounded tools, resources and prompts with validated schemas, clear descriptions and predictable, structured outputs.
Implement and test stdio and Streamable HTTP transports, including reconnect behavior, proxies, gateways and timeouts.
Apply OAuth-based authorization, least-privilege scopes, explicit consent and human approval for consequential actions.
Connect approved APIs, databases and files through governed access boundaries and role-aware permissions.
Verify client compatibility, add observability and deploy with documented runbooks, versioning and ownership transfer.
Review a representative role profile, then request two or three current CVs matched to your MCP hosts and clients, server language, tools and data sources, transport, identity model, deployment environment, security requirements and working-hour overlap.
Keep each item visibly labeled "Solution Blueprint" until DreamzTech verifies the client, production status, contribution, evidence, outcome and permission to publish.
Environment: sales or operations
Core: MCP server, enterprise APIs, OAuth, audit log
Expose approved read and write actions through narrow schemas, role scopes and human approval for consequential changes. Accept on authorization tests, schema validity, dry-run behavior, idempotency, audit coverage and rollback.
Environment: internal knowledge
Core: MCP resources, identity, search, citations
Make permitted documents and records discoverable without crossing tenant or role boundaries. Accept on access isolation, resource completeness, pagination, freshness, source traceability, latency and failure behavior.
Environment: approved AI hosts and custom clients
Core: capability negotiation, Streamable HTTP, gateway controls, observability
Serve a governed tool catalog to multiple compatible clients while isolating credentials and policies. Accept on client compatibility, transport recovery, scope enforcement, tool-change detection, concurrency and incident evidence.
Simple & Transparent Pricing | Fully Signed NDA | Code Security | Easy Exit Policy
Begin with the AI hosts or clients, approved tools and data, read/write boundaries, identity model, deployment environment and failure tolerance. Share existing APIs, prototypes, policies and the operational ownership your team needs.
Share your MCP hosts, systems and requirements and we will design the fastest path to a governed, production-ready deployment. If your priority is tool-specific coding-agent workflows instead, our teams who hire Claude Code developers, hire Codex developers and hire Cursor developers can help.
Our MCP developers bring proven experience across host-client-server architecture, tools, resources and prompts, transports, authorization and security, enterprise integrations, and compatibility testing and deployment. MCP servers often wrap existing systems, so pair this work with our API integration services or broader custom software development services where the surrounding application also needs work.
| Languages & SDKs | TypeScript/JavaScriptPythonJavaC#Go and supported official or community MCP SDKs selected after compatibility review |
| MCP Core Architecture | HostclientserverJSON-RPCinitializationcapability negotiationlifecycle and version compatibility |
| Tools, Resources & Prompts | Tool schemasresource URIstemplatesdiscoverypaginationannotationsstructured results and error contracts |
| Transports & Connectivity | stdioStreamable HTTPTLSproxiesgatewaystimeoutsreconnect behavior and network boundaries |
| Authorization & Identity | OAuthauthorization-server metadataPKCE where applicableaudience validationscopesSSO/IAM integration and consent |
| APIs & Enterprise Systems | RESTGraphQLgRPCwebhooksdatabasesfilesCRMERPservice managementcollaboration and custom systems |
| Data & Retrieval | SQL/NoSQLobject storageenterprise searchvector retrieval where justifiedmetadata and permission-aware access |
| Security & Governance | Least privilegesecretsschema integritytool-change detectioninput/output validationsandboxingapprovalsisolation and audit trails |
| Testing & Compatibility | Protocol inspectorscontract testsmocked clients/systemsauthorization testsadversarial casesregressionload and failure testing |
| Observability & Operations | OpenTelemetrystructured logstracesmetricsSIEM integrationalertsrate limitsincident response and rollback |
| Cloud, Containers & Delivery | AWSAzureGoogle CloudDockerKubernetes/serverless where appropriateCI/CDinfrastructure as code and runbooks |
This is a capability map, not a claim that one developer knows every SDK, client, identity system, enterprise platform, cloud and security stack. Match the CV to the protocol surfaces, systems, risk, volume and ownership model.
Hire dedicated AI developers for your project with a quick, efficient hiring process. Build your AI engineering capacity faster with matched, evaluated talent.
Tell us the MCP hosts, systems and access goals, the tools and data involved, and the deployment environment so we can match developers precisely.
Review matched MCP developer profiles and interview candidates on architecture, authorization, integrations and testing.
Confirm scope, access and onboarding readiness—including contracting, data/system access, security review and owner availability before committing to a start date.
Hire MCP developers who deliver secure, well-tested protocol integrations across a wide range of industries, alongside our broader teams who hire AI developers for wider AI initiatives.
Manufacturing
Logistics
Retail
eLearning
Fintech
Agriculture
Travel
Casino
Sports
Healthcare
Real Estate
Facility
Production MCP crosses backend engineering, enterprise integration, identity, security, AI clients, cloud and operations. DreamzTech can match the core developer and connect adjacent specialists when the protocol layer crosses role boundaries.
Share the hosts, systems, permissions and production goals. We will respond with the likely developer profile, readiness questions and a practical first scope.
Got questions about hiring MCP developers? Explore the FAQs below to learn how DreamzTech matches MCP developers to your hosts, systems and security requirements.
An MCP developer builds and operates the protocol layer between AI hosts and approved tools or data. The role typically covers host-client-server architecture, tools, resources and prompts, JSON-RPC behavior, SDK implementation, transports, authorization, enterprise integrations, compatibility and security testing, observability, deployment, documentation and handoff. It is more specific than general backend API work because the interfaces must also be discoverable, bounded and safe for model-mediated use.
An API exposes application capabilities through its own contract. MCP standardizes how compatible AI hosts discover and use server-provided tools, resources and prompts through a shared protocol. MCP often wraps existing APIs rather than replacing them: the server translates business capabilities into model-usable schemas, adds protocol lifecycle and discovery, and enforces the approved access and operational controls.
An MCP server exposes capabilities such as tools, resources and prompts. An MCP client maintains a protocol connection to one server inside an AI host, negotiates supported capabilities and exchanges messages. The host coordinates users, permissions and one or more clients. A project may need server engineering, client/host integration or both, so define that boundary before hiring.
Start with least privilege: expose only approved actions and data, separate read from write scopes, validate every input and output, protect secrets, isolate tenants and servers, and require human approval for consequential actions. Add authorization and audience checks, schema integrity and tool-change controls, sandboxing where relevant, rate limits, audit logs, monitoring and incident procedures. Test for tool poisoning, shadowing, confused-deputy flows, data exfiltration and excessive permissions.
Authentication proves who is involved; authorization determines what that identity may access or do. For protected remote MCP servers, use the current MCP authorization specification and supported OAuth mechanisms, validate token audience, bind permissions to narrow scopes and preserve user consent. Local stdio servers have different trust boundaries. The exact flow depends on the host, identity provider, server deployment and resources, so it should be threat-modeled and tested end to end.
Yes, when the systems provide suitable APIs, databases, files or approved connector surfaces and the target host supports the required MCP capabilities. A developer can wrap reusable integrations instead of rebuilding them blindly, but should first map identities, permissions, rate limits, data contracts, read/write actions and failure behavior. Compatibility must be verified against each intended client rather than assumed from the protocol label.
Cost depends on seniority, the number of servers and systems, client compatibility, authorization, security testing, deployment, documentation, support and working-hour overlap. DreamzTech may publish $20 per hour or $3,200 for a 160-hour monthly allocation only after sales confirms applicability. AI/model usage, cloud, API gateways, identity services, security tooling, third-party licenses and extended support are separate unless included by contract.