Your tools, callable by any AI agent.
Model Context Protocol is the USB-C of AI. We build MCP servers that expose your business tools — CRMs, databases, APIs, communication platforms — to Claude, Cursor, and any agent you run. Typed inputs, auth-gated, production-safe.
WHAT IS AN MCP SERVER?A Model Context Protocol (MCP) server is a standardised interface that exposes your business tools — CRMs, databases, calendars, APIs — to any AI agent or LLM that speaks the protocol. Instead of writing custom integrations for every AI tool you adopt, you build one MCP server per tool and every compliant AI client can call it. We build production MCP servers with typed schemas, OAuth2 auth, rate limiting, and integration tests — ready to connect to Claude, Cursor, or your own agent stack.
Six server categories.
Each one ships with typed schemas, auth middleware, rate limits, and integration tests.
CRM Connector
Read/write contacts, deals, and activity from HubSpot or Salesforce directly inside Claude or any agent.
Document Store
Let agents query, summarize, and update your knowledge base, Notion pages, or Confluence spaces.
Calendar & Booking
Check availability, create events, and send invites from inside any LLM conversation.
Internal APIs
Wrap any internal REST or GraphQL API with an MCP interface so agents can call it safely.
Data Warehouse
Natural-language queries against your Snowflake, BigQuery, or Postgres instance with row-level security.
Communication Tools
Send Slack messages, create GitHub issues, or trigger Jira tickets from agent workflows.
Four steps to MCP-native.
Tool inventory
We audit your existing tools and APIs to identify the highest-value MCP candidates.
Schema design
We design the MCP tool schema — inputs, outputs, error cases, and permission boundaries.
Build & test
We implement the server, write integration tests, and validate against real MCP clients.
Publish & connect
We publish to your infrastructure and connect it to your agent stack or Claude environment.