Your coding standards, live in 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
Apify
Extract data from any website with thousands of tools.
Macrobond Assist
Spend your time on the analysis, not on finding the data
Countersignatory
Let an agent buy a verified human's approval, verification or judgment at a published spot price, paid by x402 (USDC on Base) or card, answered by hand or refunded.
Trainual
Search your training, operations, and performance data.
BoardWise
Calm board-defense guidance for licensed pros.
bolna
Tseha.io reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Tseha.io is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
We wired Tseha.io into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
According to our notes, Tseha.io benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
We wired Tseha.io into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
I recommend Tseha.io for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Strong directory entry: Tseha.io surfaces stars and publisher context so we could sanity-check maintenance before adopting.
According to our notes, Tseha.io benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Tseha.io is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Tseha.io reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
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Share your MCP server with the developer community
Select a client to integrate this server.
Manual configuration
{
"mcpServers": {
"tseha": {
"url": "https://tseha.io/mcp"
}
}
}Sign in: Required.
Your coding standards, live in 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.
Manage Bolna voice AI agents and review call history and transcripts from Claude.