Find your
MCP stack.
MCP connectors are how AI agents talk to your tools — Slack, GitHub, Notion, Shopify, databases, and more. But which ones should you set up first, and how do they fit together?
Describe your current tool stack, and this tool will recommend the right MCP connectors, show how they combine into workflows, and give you a setup plan you can execute on Tulsk.
What is MCP (Model Context Protocol)?
MCP is a standardized protocol that lets AI agents connect to external tools and data sources. Instead of just generating text, an AI agent with MCP connectors can read your GitHub issues, post to Slack, update Notion databases, query your Postgres database, and take real actions across your entire tool stack.
Which MCP connectors should I set up first?
Start with the tools your team uses most frequently and the ones involved in your most repetitive workflows. For most teams, that's communication (Slack), project management (Linear, Jira, or Notion), and code (GitHub). From there, add connectors for your specific domain — CRM, e-commerce, databases, etc.
How many MCP connectors do I need?
Most teams start with 3-6 connectors covering their core workflow. You don't need to connect everything at once. The power comes from combining connectors into workflows — a single automation might use GitHub + Slack + Linear together. Tulsk supports 51+ MCP tools, so you can expand as needed.
Can I build custom MCP connectors?
Yes. The MCP protocol is open and standardized. If your team uses a niche tool that doesn't have a pre-built connector, you can build one. Tulsk's skill authoring surface makes it straightforward, or Riggd can build custom connectors as part of a Setup engagement.
Are MCP connectors secure?
MCP connectors use OAuth tokens and encrypted credentials to authenticate with your tools. On Tulsk, tokens are encrypted at rest with scoped permissions — the agent only gets access to what you explicitly grant. You can revoke access to any connector at any time.