Anthropic's Model Context Protocol is how Claude accesses your internal tools, databases, and APIs. We design, build, and deploy production MCP servers — so Claude can act on real enterprise data, not just discuss it.
An MCP server isn't a weekend project when you need it to connect to production CRMs, comply with data residency rules, and handle 500 concurrent Claude users. Here's what we build.
Most MCP tutorials connect to a weather API. We connect to your Salesforce instance, with field-level security, per-user token scoping, and rate limiting. Here's a simplified view of what that looks like under the hood.
Read our full MCP Protocol guide for a deep-dive on architecture patterns.
From API audit to production deployment in a structured engagement. No assumptions about what your stack can handle — we find out first.
We map every data source and internal API relevant to your Claude use cases. For each source, we design the MCP tool schema — what Claude can ask, what parameters it passes, what it gets back. This is the architecture phase. Getting the tool design wrong means Claude asks the right questions but gets useless answers.
We design the authentication model before writing a single server. For most enterprise deployments, this means per-user OAuth token propagation so Claude acts with the requesting user's permissions — never a shared service account. We also define rate limits, field-level exclusions, and audit log schema.
We build in Python (FastMCP or raw MCP SDK) or TypeScript, depending on your team's stack. Each MCP server is integration-tested against real sandbox instances of your systems — not mocked data. We validate Claude's actual tool-calling behaviour against the server before deployment.
We deploy servers to your infrastructure (AWS, Azure, or GCP) as containerised services with health checks, structured logging, and alerting. For Cowork environments, we configure remote MCP endpoints. For developer deployments, we set up the server registry and CLAUDE.md instructions. We hand over full documentation and runbooks.
Your MCP server estate should grow as your Claude use cases grow. We offer retainer-based support to add new tools, update schemas as APIs change, and expand to new data sources. Many clients start with one Salesforce server and end up with twelve servers covering their entire enterprise data layer.
The MCP layer is where Claude stops being a smart assistant and starts being a productive operator of your enterprise systems.
The tutorial gets you to "Hello, world" over stdio. Your production requirements — per-user OAuth, role-based field exclusions, connection pooling, audit logging — are a different challenge. We've solved these patterns across dozens of enterprise deployments.
Your knowledge workers want to ask Claude "what's the status of the Goldman Sachs renewal?" and get a live Salesforce answer — not a general lecture on CRM. MCP is the bridge. Without it, Claude is limited to documents it's already seen. With it, Claude becomes a real-time operator of your enterprise stack.
If you're building a centralised Claude Enterprise implementation that multiple teams will use, you need a robust MCP server registry. We build the foundation — auth framework, deployment patterns, documentation standards — that lets your teams add new servers safely.
MCP development is most powerful when combined with the right deployment infrastructure and agent architecture.
MCP server development is a specialised discipline. The difference between a server that works in a demo and one that runs in production for 500 users is architecture, security, and experience. Book a free strategy call with our certified architects.