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.

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.

A Zoho MCP server connects AI assistants to the Zoho apps your team uses for CRM, finance, support, projects, and operations. mcp-builder.ai turns selected Zoho modules into MCP tools with scoped access, monitoring, and deployment workflows.

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 Workday MCP server turns HR, payroll, finance, and planning data into AI-accessible tools without bypassing enterprise controls. mcp-builder.ai helps teams publish selected Workday actions with role-based access, hosting, logs, and versioned tool definitions.

A ServiceNow MCP server lets AI assistants interact with ITSM, ITOM, CMDB, HRSD, and workflow data through approved tools. With mcp-builder.ai, service teams can keep incident actions, runbooks, permissions, and audit logs behind a reliable hosted MCP layer.

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 weclapp MCP server gives AI assistants governed access to CRM, sales, purchasing, warehouse, and accounting workflows in the cloud ERP. mcp-builder.ai provides the hosted MCP layer, auth handling, and logging needed to automate weclapp tasks safely.

A Xentral MCP server helps product, ecommerce, and operations teams connect AI assistants to orders, inventory, purchasing, shipping, and finance processes. mcp-builder.ai lets you publish focused Xentral tools with secure hosting and clear operational controls.

A Scopevisio MCP server brings accounting, CRM, project, and document workflows into AI assistants through a governed connection. With mcp-builder.ai, teams can expose selected Scopevisio data as MCP tools while keeping hosting, auth, and audit logs managed.

A Slack MCP server gives AI assistants a controlled way to search conversations, post updates, and trigger workspace workflows. mcp-builder.ai lets you choose which channels, messages, and actions become MCP tools, with authentication and observability included.

A Microsoft Teams MCP server lets AI assistants work with chats, channels, meetings, messages, and Microsoft 365 collaboration flows through a governed endpoint. mcp-builder.ai handles the hosting and control layer so assistants can act in Teams without unmanaged integrations.

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.

An Airtable MCP server lets AI assistants query and update bases, tables, records, views, and linked data through a governed interface. mcp-builder.ai hosts the MCP endpoint and helps teams shape Airtable operations into reliable tools for internal workflows.

An Asana MCP server gives AI assistants controlled access to projects, tasks, portfolios, goals, timelines, and status updates. mcp-builder.ai turns selected Asana actions into hosted MCP tools so work can move forward without exposing the whole workspace.

A Trello MCP server lets AI assistants manage boards, lists, cards, labels, members, checklists, and comments through defined tools. With mcp-builder.ai, teams can automate Trello workflows while preserving permissions, confirmations, and activity logs.

A Monday.com MCP server connects AI assistants to boards, items, columns, updates, automations, and dashboards in your work OS. mcp-builder.ai lets you publish focused Monday.com tools with secure hosting, authentication, and change tracking.

A ClickUp MCP server gives AI assistants a structured way to work with spaces, folders, lists, tasks, docs, goals, comments, and time tracking. With mcp-builder.ai, productivity workflows become MCP tools with scoped access and clear auditability.

A GitHub MCP server lets AI assistants interact with repositories, issues, pull requests, commits, releases, and workflows through a controlled connection. mcp-builder.ai helps engineering teams define safe GitHub tools with repository scoping, logging, and deployment controls.

A GitLab MCP server connects AI assistants to repositories, merge requests, issues, pipelines, environments, and deployments. With mcp-builder.ai, DevOps teams can expose GitLab actions as MCP tools while keeping permissions, audit trails, and workflow boundaries clear.

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 Linear MCP server lets AI assistants work with issues, teams, cycles, projects, roadmaps, comments, and labels through a precise tool layer. mcp-builder.ai provides the hosted MCP runtime and governance controls for product and engineering workflows.

A Sentry MCP server lets AI assistants inspect issues, events, releases, stack traces, alerts, and ownership data during incidents. With mcp-builder.ai, observability workflows become secure MCP tools that support triage without giving agents unrestricted production access.

A Datadog MCP server connects AI assistants to metrics, logs, traces, monitors, dashboards, services, and incident context through approved tools. mcp-builder.ai helps platform teams expose observability data safely with authentication, rate limits, and audit trails.

A Shopify MCP server gives AI assistants controlled access to products, variants, inventory, orders, customers, discounts, and fulfilment workflows. mcp-builder.ai turns commerce operations into hosted MCP tools with permissions, confirmations, and logs.

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 Mailchimp MCP server lets AI assistants work with audiences, segments, tags, campaigns, journeys, templates, and performance data. mcp-builder.ai hosts the MCP layer so marketing teams can automate campaign work while keeping account access scoped.

A Zendesk MCP server gives AI assistants safe access to tickets, users, organizations, macros, views, SLAs, and support history. With mcp-builder.ai, support teams can create governed tools for ticket operations, escalation workflows, and reporting.

A Snowflake MCP server lets AI assistants query warehouses, databases, schemas, tables, views, stages, and shared data through governed tools. mcp-builder.ai gives data teams a hosted MCP endpoint with scoped roles, validation, and observability.

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.

An OpenAPI MCP server turns an API specification into a ready-to-use MCP toolset for AI assistants. With mcp-builder.ai, teams can import OpenAPI 3.x or Swagger specs, review every operation, and publish only the endpoints that should be callable.

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.

A PostgreSQL MCP server gives AI assistants controlled access to schemas, tables, views, functions, and extensions through safe database tools. mcp-builder.ai helps teams publish query and analysis workflows with scoped roles, prepared statements, and observability.

A MySQL MCP server lets AI assistants work with MySQL tables, views, stored procedures, and replicas through a controlled access layer. With mcp-builder.ai, teams can expose useful database tools while applying permissions, validation, connection handling, and logs.

A MariaDB MCP server connects AI assistants to MariaDB schemas, tables, views, ColumnStore data, and replicated environments through governed tools. mcp-builder.ai provides the hosted MCP runtime, authentication, query controls, and observability needed for safe database access.

A SQLite MCP server makes embedded databases available to AI assistants without moving file contents into prompts. mcp-builder.ai wraps single-file databases, read-only modes, WAL-safe reads, schema inspection, and hosted MCP access control.

An MSSQL MCP server gives AI assistants governed access to Microsoft SQL Server databases, schemas, tables, views, stored procedures, and Always On replicas. mcp-builder.ai hosts the MCP layer with authentication, prepared statements, timeouts, and auditability.

An Oracle DB MCP server connects AI assistants to Oracle schemas, tables, views, PL/SQL packages, PDBs, and reporting data through controlled tools. With mcp-builder.ai, database teams can expose selected operations with wallet-based auth, validation, and audit logs.