Services / 05

Hire an MCP server developer to safely connect Claude to your systems.

Custom MCP (Model Context Protocol) servers that give Claude and other agents typed, auditable access to your CRM, database, filesystem, monitoring tools and internal APIs. Built with Anthropic\u2019s official SDKs in TypeScript or Python.

§ 01

What you get

Typed tool interfaces

Every tool has a JSON schema for its inputs. The agent can’t hallucinate parameters — they’re validated before your code runs.

Resources, tools, prompts

The three MCP primitives: resources (read-only data), tools (callable functions with side effects), prompts (reusable templates). Right primitive for the right job.

Auth & audit

OAuth, API-key, or mTLS auth at the MCP server layer. Every tool call logged with user, args, result. Ready for audit-heavy industries.

Local + remote servers

stdio servers for Claude Desktop integration, HTTP/SSE servers for remote agent runtimes and shared infrastructure.

Migration from function calling

Port existing OpenAI function-calling and tool-use specs to MCP. Get cross-agent compatibility without rewriting the tools.

Production deployment

Dockerised MCP servers on AWS, GCP or Cloudflare Workers. Health checks, rate limits, graceful restart. Runbooks included.

§ 02

How I build it

  1. 01
    Tool inventory
    What does the agent need to do? Read what, write what, call what? Output: a typed spec for every tool before code is written.
  2. 02
    Schema design
    JSON schemas for every tool input/output. This is the contract between the agent and your system — get it right and the rest is mechanical.
  3. 03
    Implementation
    MCP server in TypeScript or Python using the official Anthropic SDK. Auth layer, logging, error handling, retries.
  4. 04
    Test with clients
    Wire into Claude Desktop, Cursor, or your preferred MCP client. Exercise every tool path with real data.
  5. 05
    Deploy & document
    Containerised deploy, documentation for your team, handover. Optional retainer for new tools as you need them.
§ 03

Stack used

SDKs

Anthropic MCP TypeScript SDK · Anthropic MCP Python SDK · Kotlin / Swift / Java (as needed)

Transport

stdio (local Claude Desktop) · HTTP + Server-Sent Events · WebSockets

Auth

OAuth 2.0 · API keys · mTLS · SSO (SAML, OIDC)

Data sources

Postgres · MongoDB · MySQL · ElasticSearch · REST APIs · GraphQL · GRPC · filesystem

Deployment

Docker · AWS ECS / Fargate · GCP Cloud Run · Cloudflare Workers · Fly.io · Railway

Observability

OpenTelemetry · Grafana · CloudWatch · LangFuse · custom audit logs

§ 05

Engagements

Focused server

$2,500 – $5,000

MCP server with 3–5 tools against one system. 1 week.

Production server

$8,000 – $16,000

Multi-system, auth, audit logs, deployment, documentation. 2–3 weeks.

MCP infrastructure

$20,000+

Multi-tenant MCP platform with observability, management UI, access controls.

Fixed-price or monthly retainer. NDA and IP-assignment standard. Hourly available on request.

§ 06

Frequently asked

What is MCP (Model Context Protocol)?

MCP (Model Context Protocol) is an open standard introduced by Anthropic in November 2024 for connecting large language models to external tools, data sources and workflows. An MCP server exposes resources (read-only data), tools (callable functions), and prompts (reusable templates) to any MCP-compatible client — Claude Desktop, Cursor, and a growing ecosystem of agent runtimes.

Why would I need a custom MCP server?

If you want Claude or another MCP-compatible agent to safely read from and write to your internal systems — CRM, database, filesystem, internal APIs, monitoring tools — without giving the model raw credentials or letting it call arbitrary endpoints. MCP servers give you a typed, auditable, sandboxed tool interface.

What can an MCP server do?

Expose your Postgres as queryable read-only tables. Let Claude create Linear tickets, draft Slack messages, trigger deployments. Pull monitoring data from Grafana. Search your Notion workspace. Anything that today requires you to copy-paste between tools can become a single tool call from the agent.

How much does it cost to build an MCP server?

A focused MCP server with 3–5 tools against one system: $2,500–$5,000, 1 week. A multi-system MCP server with auth, rate limits, audit logs and deployment: $8,000–$16,000, 2–3 weeks. Enterprise multi-tenant MCP infrastructure: $20,000+.

Is MCP secure enough for production?

Yes, when built correctly. MCP servers give you a deterministic interface — you define exactly which tools exist, with typed parameters. You control auth, logging and authorisation per tool. Safer than giving the agent a generic code-execution tool and hoping it behaves.

Which MCP clients does a custom server work with?

Claude Desktop (native), Cursor, Continue, Zed, Cline, and any client that implements the MCP specification. Servers can be stdio-based (local) or HTTP/SSE-based (remote). I build both.

Can you migrate existing OpenAI function-calling code to MCP?

Yes. Most function specs translate directly to MCP tool definitions. The migration typically takes 1–3 days per tool set and gives you compatibility with a broader agent ecosystem, not just OpenAI.

Do you build MCP servers in TypeScript or Python?

Both. Anthropic ships official SDKs for TypeScript, Python, Kotlin, Swift and Java. I match the language to your existing stack.

Ready to build?

Same-week start. Email reply within 24 hours. Written enquiries welcome.