Edit, polish, and publish your Tella videos by chatting with Claude.
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
Fellow.ai
Chat with your meetings to uncover actionable insights
Dropbox
Search, organize, and take action on your Dropbox content
AgentMail
Email inboxes for AI agents
Moda - Slides and Designs
Fully editable PowerPoints, Meta ads, motion graphics & social.
beehiiv
Connect your beehiiv workspace to draft, design, analyze, and more.
Crossbeam
Explore partner data and ecosystem insights in Claude
We wired Tella into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
I recommend Tella for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Tella has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
We evaluated Tella against two servers with overlapping tools; this profile had the clearer scope statement.
According to our notes, Tella benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
According to our notes, Tella benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Tella reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
We evaluated Tella against two servers with overlapping tools; this profile had the clearer scope statement.
Tella has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
I recommend Tella for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
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Manual configuration
{
"mcpServers": {
"tella": {
"url": "https://api.tella.com/mcp"
}
}
}Sign in: Required.
Edit, polish, and publish your Tella videos by chatting with Claude.
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.