Every way to build your MCP server

Turn an OpenAPI or Swagger spec into hosted, secure MCP tools.

Turn a WSDL into hosted MCP tools — without touching XML envelopes.

Start from one example XML file and build tools for XML APIs or file systems.

Turn a PostgreSQL schema into hosted, secure MCP tools.

Turn a MySQL schema into hosted, secure MCP tools.

Turn a MariaDB schema into hosted, secure MCP tools.

Turn a SQL Server schema into hosted, secure MCP tools.

Turn an Oracle schema into hosted, secure MCP tools.

Turn a SQLite schema into hosted, secure MCP tools.

Connect your Shopify store with your AI agents for product data and advanced reporting.

Connect your AI tools with Amazon inventory, orders, sales and seller reporting.

A Salesforce MCP server gives AI assistants a secure way to read and act on CRM data from Sales Cloud, Service Cloud, and Marketing Cloud. With mcp-builder.ai, you choose the objects, fields, and actions that become available to MCP clients while keeping permissions, logging, and hosting under control.

An SAP MCP server connects AI assistants to the ERP processes that run finance, logistics, procurement, and operations. mcp-builder.ai helps you expose selected SAP modules through a hosted MCP endpoint with approval rules, authentication, and audit trails built in.

An Oracle MCP server lets AI assistants work across Oracle Fusion, E-Business Suite, and NetSuite without giving agents broad application access. Use mcp-builder.ai to publish only the approved financial, HCM, SCM, and project workflows as monitored MCP tools.

A Microsoft Dynamics 365 MCP server turns customer, sales, service, and Business Central data into controlled tools for AI assistants. mcp-builder.ai provides the hosted runtime, identity handling, and version control so teams can connect Dynamics workflows without creating one-off bot integrations.

A HubSpot MCP server lets AI assistants work with contacts, companies, deals, tickets, lists, and marketing activity through a governed interface. mcp-builder.ai handles hosting, OAuth, tool definitions, and observability so revenue teams can automate HubSpot tasks safely.

A Pipedrive MCP server gives sales assistants controlled access to deals, people, organizations, activities, and pipelines. With mcp-builder.ai, teams can expose the exact CRM actions reps need while keeping authentication, rate limits, and logs in one place.

An Odoo MCP server makes CRM, inventory, accounting, manufacturing, and sales workflows available to AI assistants through a controlled tool layer. mcp-builder.ai lets you decide which Odoo models and methods are callable, then hosts and audits the MCP endpoint for your team.

A Sage MCP server gives finance and operations teams a safer way to use AI with accounting and ERP data. Use mcp-builder.ai to expose approved Sage 50, Sage 200, or Sage Intacct functions through authenticated MCP tools with clear audit history.

A DATEV MCP server helps accounting, payroll, and tax teams bring German finance data into AI workflows while keeping access tightly scoped. mcp-builder.ai can host a controlled MCP endpoint for selected DATEV data, exports, and review processes.

A BMD MCP server connects AI assistants to Austrian accounting, payroll, controlling, and business software workflows through a governed interface. With mcp-builder.ai, firms can expose the right BMD data and actions without handing agents unrestricted system access.

A Lexware MCP server gives German SMBs a practical way to use AI with bookkeeping, invoicing, payroll, and customer data. mcp-builder.ai turns selected Lexware workflows into hosted MCP tools with authentication, review steps, and clear logs.

A sevDesk MCP server connects AI assistants to invoices, receipts, banking, contacts, and bookkeeping data in the sevDesk cloud platform. mcp-builder.ai hosts the MCP endpoint and gives teams control over which finance actions are visible to each assistant.

A Personio MCP server makes employee, absence, recruiting, document, and HR process data available to AI assistants in a controlled way. With mcp-builder.ai, HR teams can define safe MCP tools for common requests while keeping permissions and audits intact.

A Google Calendar MCP server lets AI assistants schedule, reschedule, inspect availability, and manage invites through a secure tool layer. With mcp-builder.ai, you can expose only the calendar actions your assistants need and keep calendar access scoped to the right users.

A Google Drive MCP server connects AI assistants to files, folders, Docs, Sheets, Slides, permissions, and shared drives through approved tools. mcp-builder.ai gives teams a hosted MCP endpoint with access controls, logging, and versioned tool definitions.

A Notion MCP server turns pages, databases, wikis, tasks, and project knowledge into structured tools for AI assistants. With mcp-builder.ai, teams can connect Notion workflows while controlling which databases and page actions each MCP client can use.

A Jira MCP server gives AI assistants governed access to issues, boards, projects, sprints, workflows, and JQL-powered data. mcp-builder.ai lets teams turn Jira operations into secure MCP tools with workspace scoping and update controls.

A WooCommerce MCP server connects AI assistants to WordPress store data including products, orders, customers, coupons, inventory, and refunds. With mcp-builder.ai, store teams can expose selected commerce actions as secure MCP tools.

A REST API MCP server turns HTTP endpoints into structured tools that AI assistants can call with validation, authentication, and logging. mcp-builder.ai can import OpenAPI definitions or wrap individual REST routes, then host a versioned MCP endpoint for any compatible client.

A JSON-RPC MCP server lets AI assistants call JSON-RPC methods through a governed tool interface instead of custom client code. mcp-builder.ai supports method mapping, typed parameters, batched calls, timeouts, and observability for JSON-RPC 1.0 and 2.0 services.

An XML-RPC MCP server helps AI assistants work with older RPC services while hiding XML payload details from end users. mcp-builder.ai wraps XML-RPC methods, faults, authentication, and optional schema overlays inside a hosted MCP endpoint.

A JSON API MCP server turns JSON documents, feeds, and service responses into structured tools for AI assistants. With mcp-builder.ai, teams can add schema inference, validation, projections, and access control before any MCP client sees the data.

A CSV MCP server makes flat files, exports, and tabular feeds usable by AI assistants without copying data into prompts. mcp-builder.ai can detect headers, normalize delimiters and encodings, stream large files, and expose safe lookup or analysis tools.

An Excel MCP server lets AI assistants read and update XLSX workbooks, sheets, tables, formulas, named ranges, and reports through governed tools. mcp-builder.ai hosts the MCP endpoint so spreadsheet-driven processes can connect to assistants without sharing files manually.