
Suvvy Mcp
- Updated July 20, 2026
- suvvyai/agent-skill
suvvy-mcp is a Claude Code skill in the AI & Agent Building category. Suvvy bot platform integration — manage bots, knowledge bases, and channels via MCP
Key points
- suvvy-mcp
- AI & Agent Building
- AI-coding skill
Suvvy Mcp by the numbers
- Data as of Jul 21, 2026 (Skillselion catalog sync)
/plugin marketplace add suvvyai/agent-skill/plugin install suvvy-mcp@suvvy-pluginsAdd your badge
Show developers this skill is listed on Skillselion. Paste this into your README.
| Last updated | July 20, 2026 |
|---|---|
| Repository | suvvyai/agent-skill ↗ |
What it does
Suvvy bot platform integration — manage bots, knowledge bases, and channels via MCP
README.md
Suvvy MCP
Suvvy bot platform integration for AI assistants — manage bots, knowledge bases, channels, and custom tools via the Suvvy MCP server.
Installation
Option 1 — Codex Plugin
Add this repository as a Codex marketplace, then install the bundled plugin:
codex plugin marketplace add .
codex plugin add suvvy-mcp@suvvy
This installs both the Suvvy MCP server config and the suvvy-mcp skill that teaches Codex how to use the platform.
Option 2 — Claude Plugin (recommended for Claude Code)
Install as a Claude Plugin with the bundled skill:
/plugin marketplace add suvvy-ai/llm-skill
/plugin install suvvy-mcp@suvvy-ai/llm-skill
This installs both the MCP server config and the suvvy-mcp skill that teaches Claude how to use the platform.
Option 3 — NPX (any project, any IDE)
Run the installer from your project root:
# Claude Code (project-level .mcp.json)
npx @suvvy/mcp
# Claude Code (user-level, all projects)
npx @suvvy/mcp --global
# Cursor
npx @suvvy/mcp --cursor
# Windsurf
npx @suvvy/mcp --windsurf
# All IDEs at once
npx @suvvy/mcp --all
Option 4 — Manual
Add the following entry to your MCP config file:
Claude Code (.mcp.json in project root):
{
"suvvy": {
"type": "http",
"url": "https://api.suvvy.ai/mcp"
}
}
Cursor (.cursor/mcp.json):
{
"mcpServers": {
"suvvy": {
"url": "https://api.suvvy.ai/mcp"
}
}
}
Windsurf (.windsurf/mcp.json):
{
"mcpServers": {
"suvvy": {
"url": "https://api.suvvy.ai/mcp"
}
}
}
Gemini CLI / OpenCode — copy gemini-extension.json from this directory to your project.
Option 5 — Anthropic Agent Skills marketplace
Add the suvvy-mcp skill standalone (without the MCP, skill-only):
/plugin marketplace add suvvy-ai/llm-skill
/plugin install suvvy-mcp@suvvy-ai/llm-skill
After Installation
- Restart your IDE to activate the MCP server
- Authenticate: ask your AI assistant to call
authenticate(it will open a browser login) - Start managing your bots
Documentation
Full platform docs: https://docs.suvvy.ai