Stytch▌
by mcp
Manage Stytch assets like Projects, Redirect URLs, and Email Templates via the Stytch Management API. Simplify programma
Interact with the Stytch Management API. The Stytch Management API can be used to programmatically interact with Stytch assets like Projects, Redirect URLs, Email Templates, and more.
github stars
★ —
best for
- / DevOps teams managing authentication infrastructure
- / Developers building multi-tenant authentication systems
- / Teams automating Stytch configuration across environments
capabilities
- / Create and configure Stytch projects
- / Manage redirect URLs for authentication flows
- / Customize email templates for user communications
- / Configure authentication settings and policies
- / Monitor and manage user authentication assets
what it does
Manages Stytch authentication assets like projects, redirect URLs, and email templates through their Management API.
about
Stytch is an official MCP server published by mcp that provides AI assistants with tools and capabilities via the Model Context Protocol. Manage Stytch assets like Projects, Redirect URLs, and Email Templates via the Stytch Management API. Simplify programma
how to install
You can install Stytch in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.
license
MIT
Stytch is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
FAQ
- What is the Stytch MCP server?
- Stytch is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Stytch?
- This profile displays 60 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.
Ratings
4.7★★★★★60 reviews- ★★★★★Diya Gupta· Dec 24, 2024
Stytch reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Hiroshi Sharma· Dec 12, 2024
We wired Stytch into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Li Srinivasan· Dec 4, 2024
I recommend Stytch for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★James Farah· Nov 27, 2024
According to our notes, Stytch benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Emma Ndlovu· Nov 23, 2024
We evaluated Stytch against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Zara Rahman· Nov 15, 2024
We wired Stytch into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Evelyn Abbas· Nov 3, 2024
Stytch reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Hiroshi Liu· Oct 22, 2024
Useful MCP listing: Stytch is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Li Singh· Oct 18, 2024
Stytch has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Luis Kim· Oct 14, 2024
Stytch is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
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