The data agent built for everyone. Ask about your company's data and get answers the way your data team would give them, with the lineage to prove it.
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
Time estimate: 15-60 minutes depending on server complexity
Prerequisites
Elastic Cloud Serverless
Search, Observe, and Protect your Elasticsearch Data
Bonsai
Manage your CRM, client projects and invoices from Claude
BoardWise
Calm board-defense guidance for licensed pros.
LawY
Efficiently work with your legal matters and documents from within Claude.
Craft.io
Manage your end-to-end product lifecycle - backlog, PRDs, customer feedback, roadmaps, and strategic OKRs - with Claude connected directly to your Craft.io data.
Starburst
According to our notes, Coefficient SuperAgent benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Coefficient SuperAgent reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Coefficient SuperAgent is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
We wired Coefficient SuperAgent into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Coefficient SuperAgent is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Strong directory entry: Coefficient SuperAgent surfaces stars and publisher context so we could sanity-check maintenance before adopting.
We wired Coefficient SuperAgent into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
According to our notes, Coefficient SuperAgent benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
I recommend Coefficient SuperAgent for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Useful MCP listing: Coefficient SuperAgent is the kind of server we cite when onboarding engineers to host + tool permissions.
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Manual configuration
{
"mcpServers": {
"coefficient": {
"url": "https://superagent.app.coefficient.io/mcp"
}
}
}Sign in: Required.
The data agent built for everyone. Ask about your company's data and get answers the way your data team would give them, with the lineage to prove it.
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.
Securely retrieve data from your federated data sources