Best MCP servers for productivity, marketing and development
The most useful MCP servers connect AI assistants to the tools teams use every day: file storage such as Google Drive and SharePoint, communication tools such as Slack and Gmail, project tools such as Linear, Jira and Notion, CRMs such as HubSpot and Salesforce, design tools such as Figma, and developer tools such as GitHub and Stripe. Start with official vendor servers, grant read-only access first and add write actions only where they clearly help.
How should you choose MCP servers?
An MCP server only helps if it connects Claude, ChatGPT or your IDE to a system people actually use. Begin with the questions your team asks most: “where is that file?”, “what did the client say?”, “what is the status of this project?”. The servers that answer those questions come first. In Claude these appear as connectors; our guide to connecting Claude to your apps shows how to add them.
Files and knowledge
- Google Drive: Search and read documents, sheets and slides.
- Microsoft 365 and SharePoint: Find files, emails and calendar items across a tenant.
- Notion: Read and update pages and databases.
- Confluence: Search team documentation and specs.
Communication
- Slack: Search channels, summarise threads and post updates.
- Gmail and Outlook: Find emails, summarise threads and draft replies.
- Calendar tools: Check availability and propose meeting times.
Project management
- Linear: Create, update and search issues.
- Jira: Query and update tickets and sprints.
- Asana and Monday.com: Track tasks and project status.
CRM, marketing and analytics
- HubSpot: Look up contacts, companies and deals; log activity.
- Salesforce: Query accounts, opportunities and reports.
- Analytics and ads tools: Pull campaign and traffic data for reports.
Marketing teams get the most from combining CRM, ads and analytics servers; see MCP for marketers.
Design
- Figma: Read frames and components to write specs or generate code.
- Canva: Create and edit designs from a conversation.
- Miro: Read and build boards and diagrams.
Development and operations
- GitHub: Read code, issues and pull requests; open changes for review.
- Sentry: Investigate errors with stack traces and context.
- Stripe: Look up customers, payments and subscriptions.
- Cloud and database servers: Query data and inspect infrastructure, ideally read-only.
What about automation platforms?
Zapier, Make and n8n offer MCP servers that expose thousands of apps through one connection. That is useful for long-tail tools without their own server, but watch the cost: some platforms count each MCP call as tasks. Our n8n vs Zapier vs Make comparison covers pricing.
What does a starter set look like by team?
| Team | Starter servers |
|---|---|
| Operations | File storage, email, calendar, project tool |
| Sales | CRM, email, calendar, file storage |
| Marketing | Analytics, ads platforms, CRM, file storage |
| Design | Figma, file storage, project tool |
| Engineering | GitHub, issue tracker, error monitoring, documentation |
Each set covers where a team’s knowledge lives and where its work is tracked. Add servers for actions, such as deployments, payments or sending messages, only after the read-only set has proved useful and you have approval rules in place.
How do you know a server is worth keeping?
Track how often each server is used and what it replaces. A Slack server that saves each manager twenty minutes of catching up every morning earns its place quickly; a server nobody has called in a month should be removed, because every connection adds some risk. Review the list each quarter alongside your AI agent costs, and ask the team which questions they still cannot answer through their assistant. Those gaps point to the next server worth adding.
When should you build your own?
Build a custom server when an important internal system has no official option, or when you need tighter control than a third-party server offers, for example limiting an agent to one database view or a handful of approved actions. Our step-by-step guide to building an MCP server shows what is involved.
How do you judge a server before connecting it?
- Keep an approved list of servers for your organisation
- Start read-only and add write tools deliberately
- Require approval for actions that send, delete or pay
- Review usage and remove servers nobody uses
Security concerns are covered in MCP security risks.
The best MCP set-up is a short, approved list of servers that match how your team works, each with a named owner and the narrowest permissions that do the job.
Revisit the list whenever you adopt a new core tool.
How UIUX Studio helps
We help teams choose, connect and govern MCP servers, and build custom ones for internal systems. Talk to our Agentic AI & Automation team. For marketing teams wiring AI into ads and analytics, Social Mafia by UIUX Studio provides performance reporting.
Frequently asked questions
What is the most useful MCP server?
The one for the system your team uses most, often file storage or email.
Are MCP servers free?
Many are free to connect; some vendors or automation platforms charge for usage.
Should we give servers write access?
Only where it clearly helps, with approval for important actions.
How many servers should we connect?
Start with three to five and add more as needs are proven.
Where do we find servers?
Vendor websites, AI app directories and the MCP project’s registry.