We've built MCP servers connecting Claude and other AI assistants to production systems for clients in the US, UK, and Australia, databases, CRMs, ERPs, and internal APIs that the AI can actually query and act on.
Start within 1-2 weeks, no lengthy hiring cycles or notice periods.
MCP engineers with production Claude Desktop and tool-calling experience, not just tutorials.
Transparent weekly reporting on tool call success rates, integrations shipped, and what's next.
Recognition
Struggling to find MCP engineers who have actually shipped production MCP servers connecting real business systems?
Burned by freelancers who disappeared mid-project or couldn't handle enterprise security requirements?
LLM assistants can't access your internal data, making them far less useful than they should be?
In short
RaftLabs provides MCP developers who have shipped custom MCP servers connecting internal databases, CRMs, ERPs, and REST APIs to AI assistants like Claude for clients in the US, UK, and Australia. Engagements run part-time, full-time, or as a dedicated team. Developers start within 1-2 weeks at USD 2,400/month.
Hiring MCP developers sounds straightforward. Finding engineers who understand the MCP protocol, tool design for LLMs, and enterprise security, and who have done it in production, is a different problem.
We've built MCP servers connecting AI assistants to real business systems for clients in the US, UK, Ireland, and Australia. Custom MCP servers for PostgreSQL and Snowflake databases, Salesforce and HubSpot CRMs, SAP and NetSuite ERPs, and internal REST APIs. These aren't demo projects, they're live integrations used daily, with audit logs, role-based access, and tool call success rates above 95%.
If you need engineers who have designed tool interfaces that LLMs can use reliably, handled authentication for sensitive business data, and built MCP servers that hold up in enterprise environments, that's the work we do.
We build MCP servers for teams that want AI assistants connected to their real systems.
Enterprises deploying Claude or other MCP-compatible AI assistants internally. Custom MCP servers connect the assistant to your ERP, CRM, data warehouse, and internal APIs, so the AI can answer questions about your actual business data, not generic knowledge.
SaaS products adding AI assistant functionality with access to their platform's data. An MCP server exposes your product's data and actions to the LLM so the AI assistant can read user data, create records, and take actions within your platform.
Engineering teams that want AI coding assistants connected to their internal systems, code repositories, CI/CD pipelines, monitoring dashboards, incident management, and documentation.
Consultants and agencies building AI solutions for clients that need custom MCP servers as part of the delivery. We build MCP servers that connect to your clients' existing systems.
MCP servers that expose your internal data and capabilities as LLM tools and resources. We implement the MCP protocol, tools, resources, and prompts, connecting to your databases, REST APIs, GraphQL endpoints, and internal services. The MCP server that gives your AI assistant access to your real systems.
MCP servers for querying databases, PostgreSQL, MySQL, MongoDB, Snowflake, BigQuery, with appropriate read access and query safety controls. The AI assistant can answer questions about your data without writing SQL or learning your schema.
MCP servers that connect to Salesforce, HubSpot, SAP, NetSuite, and other business systems via their APIs. Read customer records, update opportunity stages, create support tickets, and query order history through an AI assistant conversation.
MCP servers wrapping your existing internal APIs, product backends, microservices, and internal tools. The AI assistant gains access to your platform's capabilities through a well-designed tool interface, without requiring the LLM to understand your API documentation.
MCP servers for accessing documents, codebases, and file systems. Integration with SharePoint, Google Drive, Confluence, and Notion to give AI assistants access to your organisation's knowledge and documentation.
MCP servers with proper authentication, authorisation, and access controls, ensuring the AI assistant can only access data and take actions that the user is authorised for. Audit logging for all MCP tool calls.
We've built MCP servers connecting AI assistants to real business systems. We understand the MCP protocol, tool definition best practices, and how to design tool interfaces that LLMs can use reliably, not just servers that pass tests in dev.
MCP servers have access to sensitive business data. We build with least-privilege access, proper authentication, input validation, and audit logging, MCP servers that are safe to deploy in enterprise environments.
We've integrated with the systems your business actually runs on, Salesforce, HubSpot, SAP, PostgreSQL, MongoDB, Snowflake, Google Drive, Confluence, and custom REST and GraphQL APIs.
MCP server usage metrics, tool call success rates, and performance, at the cadence you choose. You know exactly how the AI assistant is using your systems and where friction exists.
Project-based for a specific MCP server build, or retainer for ongoing MCP development as your AI assistant's capabilities grow. Part-time from USD 2,400/month.
MCP is one layer of AI product development. We've built 20+ AI systems and understand how MCP servers fit into the broader AI architecture, evaluation, cost management, and production reliability.
| RaftLabs | In-House | Freelance | |
|---|---|---|---|
| Time to hire top MCP developers | 1 day to 2 weeks | 4 to 6 weeks | 1 to 12 weeks |
| Project initiation time | 1 day to 2 weeks | 2 to 10 weeks | 1 to 10 weeks |
| Risk of project failure | Exceptionally low with a 98% success rate | Low | Very High |
| Developers supported by project management | Yes, dedicated PM and Agile processes | Varies | No |
| Exclusive development team | Yes, dedicated team guaranteed | Yes | No |
| Assurance of work quality | Yes, with quality assurance processes | Yes | Varies |
| Advanced development tools and workspace | Yes, enterprise-grade tools | Yes | Varies |
Tell us which systems you want to connect to your AI assistant and what actions it should be able to take. Fill out the contact form and we will respond within one business day.
A 30-minute call to understand your systems, the APIs or databases available, and what the AI assistant should be able to do. No sales pitch, just an honest conversation about fit.
A clear proposal with MCP server architecture, tool definitions, timeline, and fixed cost. Concrete numbers you can plan around.
Engineers onboard in days. First MCP server tool definitions within one week. Working integration within two to three weeks.
Pricing
Dedicated senior engineers from $6,000/month (minimum pod $12,000/month).
Custom MCP server engineers available in days. Fixed project cost. Full source code ownership.
MCP is an open protocol developed by Anthropic that standardises how AI assistants connect to external data sources and tools. Before MCP, every AI integration required custom code for each system connection. MCP defines a standard interface, tools (actions the AI can take), resources (data the AI can read), and prompts (reusable instructions), that any MCP-compatible AI client can use. Claude Desktop, Claude API clients, and a growing ecosystem of AI tools support MCP. Building an MCP server once connects your system to all current and future MCP-compatible AI assistants.
Claude (Anthropic) has first-class MCP support, Claude Desktop, the Claude API, and Claude.ai support MCP servers. The MCP ecosystem is expanding rapidly: other AI assistants, coding tools, and developer environments are adding MCP support. Building an MCP server is an investment in interoperability across the AI ecosystem, not just one provider.
Security is central to MCP server design. We implement: authentication for the MCP server (API keys, OAuth, or internal auth), user-level authorisation so the AI only accesses what the current user can access, input validation to prevent injection attacks through tool parameters, read-only access for data retrieval tools, explicit confirmation flows for mutating operations, and complete audit logs of every tool call. MCP servers in enterprise environments need the same security rigour as any other system integration.
Yes. MCP servers run as local processes or on your own infrastructure, they don't require public internet access. For on-premise ERP systems, internal databases, or air-gapped environments, we build MCP servers that run within your network perimeter, connecting the AI assistant to your internal systems without any data leaving your infrastructure. The MCP client (Claude Desktop or your AI application) communicates with the MCP server over a local connection.
Part-time from USD 2,400/month (80 hrs). Full-time from USD 4,800/month (160 hrs). Dedicated teams from USD 15,000/month. Project work ranges from USD 5,000 for a single MCP server to USD 40,000 for multi-system integrations. Enterprise deployments are custom-scoped. Contact us for a tailored quote.
Most engagements start within 1-2 weeks of signing. The discovery call and proposal typically happen within 2-3 business days of your initial contact. For urgent projects, we have engineers available on short notice.
Yes. We sign NDAs as standard practice for all client engagements. Contact us to get the process started.
Slack for day-to-day communication and Asana for project tracking. You will have direct access to your developer and a dedicated project coordinator throughout the engagement. Daily standups or weekly syncs are available depending on your preference.
We've built MCP integrations for PostgreSQL, MySQL, MongoDB, Snowflake, and BigQuery on the database side. For business systems: Salesforce, HubSpot, SAP, NetSuite, and Jira. For document storage: SharePoint, Google Drive, Confluence, and Notion. For custom systems: any service with a REST or GraphQL API. If your system has an API or a queryable interface, we can build an MCP server for it.
A freelancer gives you one person. An agency gives you a team with process, backup coverage, and accountability. With RaftLabs, your MCP developer works within a structured team that includes a project coordinator, senior peer review, and security review for every server. If a developer is unavailable, the project doesn't stop. MCP server security and reliability require that kind of team discipline, a solo freelancer rarely applies the same rigour to access controls and audit logging.