Best MCP Servers for Indie Hackers in 2026
The essential MCP servers every solo developer needs to build and ship faster. Supabase, Stripe, GitHub, Vercel, and Sentry — configured in seconds.
When you are building a SaaS product solo, every minute spent switching between your editor, the database dashboard, the Stripe console, and Sentry is a minute you are not shipping. MCP servers let your AI assistant talk directly to all of those services from one place -- turning your assistant from a code completion tool into something closer to a technical co-founder with access to all your systems.
| Server | Author | Tools | Tokens | Key Use |
|---|---|---|---|---|
| Supabase MCP | Supabase | 25 | ~12,875 | Database, auth, edge functions, migrations |
| Stripe MCP | Stripe | 15 | ~7,725 | Payments, subscriptions, product catalog |
| GitHub MCP | Anthropic | 20 | ~10,300 | PRs, issues, code search, CI |
| Vercel MCP | Community | 12 | ~6,180 | Deployments, build logs, env vars |
| Sentry MCP | Sentry | 8 | ~4,120 | Error tracking, crash reports, performance |
graph LR
A[Your Editor] --> B[AI Assistant]
B --> C[Supabase MCP]
B --> D[Stripe MCP]
B --> E[GitHub MCP]
B --> F[Vercel MCP]
B --> G[Sentry MCP]
C --> H[(Database + Auth)]
D --> I[Payments]
F --> J[Deployments]
G --> K[Error Data]
Supabase MCP -- Your Entire Backend in One Server
Author: Supabase | Tools: 25 | Requires: Supabase access token
Supabase MCP connects your assistant to your actual Supabase project -- Postgres, auth, storage, and edge functions. At ~12,875 tokens it is the heaviest server in this stack, but it replaces your most frequent source of context-switching. For a detailed walkthrough, see how to use Supabase MCP server. If you are evaluating alternatives, check our Supabase MCP vs Firebase MCP comparison.
Why use it
- Run SQL queries and get results directly in your editor
- Create tables, apply tracked migrations, and verify they worked -- in one conversation
- Deploy and update edge functions without opening the dashboard
- Create development branches for safe experimentation, then merge to production
- Generate TypeScript types from your schema to keep frontend and backend in sync
Configuration
{
"mcpServers": {
"supabase": {
"command": "npx",
"args": ["-y", "@supabase/mcp-server-supabase"],
"env": {
"SUPABASE_ACCESS_TOKEN": "your-supabase-token"
}
}
}
}
Stripe MCP -- Payments Without the Dashboard
Author: Stripe | Tools: 15 | Requires: Stripe secret key
Stripe MCP turns billing operations into conversational tasks. Instead of navigating Stripe's dashboard, ask your assistant to create a pricing tier, check a subscription, or debug a failed payment. For the full setup guide, see how to use Stripe MCP server.
Why use it
- Create and restructure products, prices, and subscription plans conversationally
- Look up customer payment history and debug failed charges alongside your code
- Generate payment links and checkout session URLs in the same conversation as the integration code
- Handle refunds and disputes without switching windows
- Iterate on pricing three times in a week without multi-tab dashboard sessions
Configuration
{
"mcpServers": {
"stripe": {
"command": "npx",
"args": ["-y", "@stripe/mcp", "--tools=all"],
"env": {
"STRIPE_SECRET_KEY": "your-stripe-secret-key"
}
}
}
}
Use a restricted key in production. A test mode key keeps development safe.
GitHub MCP -- Source Control Without Switching Windows
Author: Anthropic | Tools: 20 | Requires: GitHub personal access token
GitHub MCP makes it practical to maintain project history even as a solo developer. The assistant creates PRs with proper descriptions, opens issues, and searches your commit history -- all without a browser. See how to use GitHub MCP server for setup details, or compare platforms in GitHub MCP vs GitLab MCP.
Why use it
- Create pull requests with accurate descriptions based on actual code changes
- Open issues with labels and link them to relevant code when users report bugs
- Search your commit history and code without opening a browser
- Check CI workflow status and retrieve failure logs in context
- Manage releases with changelogs generated from merged PRs
Configuration
{
"mcpServers": {
"github": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-github"],
"env": {
"GITHUB_PERSONAL_ACCESS_TOKEN": "your-github-token"
}
}
}
}
Vercel MCP -- Deploy and Monitor Without the Dashboard
Author: Community | Tools: 12 | Requires: Vercel API token
Vercel MCP extends Vercel's deployment simplicity into your AI workflow. Check deployment status, review build logs, and update environment variables without opening a new tab.
Why use it
- Check whether your latest deployment succeeded and retrieve build logs when it did not
- Cross-reference deployment failures with Sentry errors in the same conversation
- List and update environment variables across development, preview, and production
- Configure custom domains from your editor
- Monitor deployment performance alongside your code
Configuration
{
"mcpServers": {
"vercel": {
"command": "npx",
"args": ["-y", "vercel-mcp"],
"env": {
"VERCEL_API_TOKEN": "your-vercel-token"
}
}
}
}
Sentry MCP -- Errors Surfaced Where You Write Code
Author: Sentry | Tools: 8 | Requires: Sentry auth token
Sentry MCP changes how you respond to errors. Instead of reading a notification, opening Sentry, finding the stack trace, and switching back to your editor -- do it all in one step. The assistant queries Sentry, gets the trace, and since it already has your codebase in context, it can suggest a fix immediately.
Why use it
- Query the last 24 hours of errors and get stack traces alongside your code
- Cross-reference errors with recent deployments to identify what changed
- Check error frequency and affected user counts to prioritize fixes
- Inspect performance transaction data to find slow endpoints
- Verify that a fix actually resolves the error before shipping
For tips on keeping your setup secure, see how to secure MCP server setup.
Configuration
{
"mcpServers": {
"sentry": {
"command": "npx",
"args": ["-y", "sentry-mcp"],
"env": {
"SENTRY_AUTH_TOKEN": "your-sentry-token"
}
}
}
}
Token Budget
This five-server stack uses approximately 41,200 tokens for tool definitions -- about 20% of a 200K context window, leaving plenty of room for code and conversation.
| Server | Tools | Estimated Tokens |
|---|---|---|
| Supabase MCP | 25 | ~12,875 |
| GitHub MCP | 20 | ~10,300 |
| Stripe MCP | 15 | ~7,725 |
| Vercel MCP | 12 | ~6,180 |
| Sentry MCP | 8 | ~4,120 |
| Total | 80 | ~41,200 |
Start with the servers you use most. Add Stripe when you are ready to monetize, Vercel when you deploy, and Sentry when you have users. For detailed strategies, see how to cut MCP token costs.
This stack covers the full SaaS lifecycle -- the full-stack developer stack shares several of these servers if you want a broader perspective. For the pre-configured setup, grab the Indie Hacker Stack and copy the config for your AI client.