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MODEL CONTEXT PROTOCOL

MCP SERVERS.
CUSTOM BUILDS + OPEN SOURCE.

MCP is how serious AI agents reach real business systems. We build custom MCP servers that connect Claude (and other agents) to your CRM, database, files, and APIs with the auth, scoping, and audit logs production demands. We also publish open-source starter templates for the patterns that come up most often.

/OPEN-SOURCE TEMPLATES

Open-source MCP server templates published as we ship them. Apache 2.0 — fork, deploy, or learn from.

/01

in-progress

TypeScript MCP Server Starter

Minimal TypeScript MCP server with tools, resources, and prompts wired up. Includes OAuth, audit logging, and Docker deploy.

TypeScriptMCP SDKOAuth 2.0Docker

/02

in-progress

Python MCP Server Starter

Same as above for Python teams. FastAPI + MCP SDK + uvicorn. Production-ready.

PythonFastAPIMCP SDK

/03

planned

Postgres MCP Server

Read-only Postgres MCP server with row-level security policies and per-tool scope. Audit logs by default.

TypeScriptPostgresMCP SDK

/04

planned

HubSpot MCP Server

OAuth-flow HubSpot MCP server exposing contacts, deals, companies, and tickets with scoped permissions.

TypeScriptHubSpot APIOAuth 2.0

/05

planned

Filesystem MCP Server (scoped)

Filesystem MCP with directory allow-listing, read-only mode, and audit logs. Safer alternative to the default filesystem server.

TypeScriptNode.js

/06

planned

Stripe MCP Server

Read-only Stripe MCP server: customers, subscriptions, invoices, charges. Refund actions gated behind human approval.

TypeScriptStripe API

/WHAT IS MCP?

Model Context Protocol (MCP) is an open standard from Anthropic that lets AI models like Claude securely connect to data sources and tools. Think of it as a typed, auth-aware bridge between an AI agent and your business systems.

Before MCP, every AI integration was a one-off: custom function calling here, a janky scraping wrapper there, an OAuth flow cobbled together for each app. MCP standardizes the shape so one server can serve many agents (Claude Desktop, custom agents, future Anthropic + third-party tools).

Three primitives:

  • Tools — actions the agent can take (create_ticket, send_email, query_db)
  • Resources — data the agent can read (a customer record, a doc, a query result)
  • Prompts — templated workflows the user or agent can invoke

Done right, MCP is the cleanest way to give an AI agent production-grade access to your stack — with audit logs, scoped permissions, and a kill switch.

/NEED A CUSTOM MCP SERVER?

WE BUILD MCP FOR
YOUR EXACT STACK.

Custom MCP servers with OAuth, scoped tools, audit logs, and production-grade ops. From $5k. 3-6 weeks.