MCP server
by superfaceai
Bridge AI assistants with APIs and integration easily using Superface, the platform for risk management API integration
Connects AI assistants to Superface's ecosystem of API tools for third-party service integrations. You select tools from their dashboard and use them through your AI assistant.
Superface (API Tools Ecosystem) is an official MCP server published by superfaceai that provides AI assistants with tools and capabilities via the Model Context Protocol. Bridge AI assistants with APIs and integration easily using Superface, the platform for risk management API integration It is categorized under developer tools.
You can install Superface (API Tools Ecosystem) 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 runs locally on your machine via the stdio transport.
MIT
Superface (API Tools Ecosystem) is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
Superface (API Tools Ecosystem) is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
I recommend Superface (API Tools Ecosystem) for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
I recommend Superface (API Tools Ecosystem) for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Superface (API Tools Ecosystem) is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
According to our notes, Superface (API Tools Ecosystem) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Superface (API Tools Ecosystem) has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
We wired Superface (API Tools Ecosystem) into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Useful MCP listing: Superface (API Tools Ecosystem) is the kind of server we cite when onboarding engineers to host + tool permissions.
Superface (API Tools Ecosystem) is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Superface (API Tools Ecosystem) reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
showing 1-10 of 25
Bridge AI assistants with APIs and integration easily using Superface, the platform for risk management API integration
TL;DR: Connects AI assistants to Superface's ecosystem of API tools for third-party service integrations. You select tools from their dashboard and use them through your AI assistant.
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
