klavis
Klavis AI: MCP integration platforms that let AI agents use tools reliably at any scale
Install / Use
claude mcp add Klavis-AI -- npx -y github:Klavis-AI/klavisIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
CommunicationSupported Platforms
Our assessment of klavis
klavis scores 87/100 on our quality scale, 249th of 396 Communication skills we index.
Its MCP Server is 6.9 KB long, well organised into 14 sections with 4 code examples: a thorough specification that gives an agent plenty to work with.
With 5,829 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated about 5 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
- Our last check on 2026-10-21 found the source still online.
- It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 93/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-24. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
klavis compared with similar skills
All 4 of these similar skills score higher than klavis; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| klavis (this skill)by Klavis-AI | 87 | 5.8k | 5mo ago | MCP Server |
| Agent-Reachby Panniantong | 100 | 109.2k | today | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 78.9k | today | CLAUDE.md |
| CowAgentby zhayujie | 100 | 47.8k | today | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 97.9k | today | MCP Server |
Frequently asked questions
- How do I install klavis?
- Run
claude mcp add Klavis-AI -- npx -y github:Klavis-AI/klavis. The install tabs above show the steps for each supported agent. - Which AI agents does klavis work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is klavis safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is Apache-2.0-licensed and scores 93/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is klavis still maintained?
- The repository was last updated about 5 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
Skill content
View source on GitHub<a href="https://www.producthunt.com/products/strata-2?embed=true&utm_source=badge-top-post-badge&utm_medium=badge&utm_source=badge-strata-2" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/top-post-badge.svg?post_id=1016948&theme=light&period=daily&t=1758639605639" alt="Strata - One MCP server for AI agents to handle thousands of tools | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
</div>🎯 Choose Your Solution
<div align="center"> <table> <tr> <td align="center" width="33%" valign="top" style="vertical-align: top; height: 250px;"> <div style="height: 100%; display: flex; flex-direction: column; justify-content: space-between;"> <div> <h2>Strata</h2> <p><strong>Intelligent connectors for your AI agent, optimize context window</strong></p> </div> <div> <a href="https://www.klavis.ai/docs/concepts/strata"> <img src="https://img.shields.io/badge/Explore-Strata-blue?style=for-the-badge&logo=data:image/svg+xml;base64,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" height="40"> </a> </div> </div> </td> <td align="center" width="33%" valign="top" style="vertical-align: top; height: 250px;"> <div style="height: 100%; display: flex; flex-direction: column; justify-content: space-between;"> <div> <h2>MCP Integrations</h2> <p><strong>100+ prebuilt integrations out-of-the-box, with OAuth support</strong></p> </div> <div> <a href="https://www.klavis.ai/docs/mcp-server/overview"> <img src="https://img.shields.io/badge/Explore-MCP%20Servers-purple?style=for-the-badge&logo=data:image/svg+xml;base64,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" height="40"> </a> </div> </div> </td> <td align="center" width="33%" valign="top" style="vertical-align: top; height: 250px;"> <div style="height: 100%; display: flex; flex-direction: column; justify-content: space-between;"> <div> <h2>MCP Sandbox</h2> <p><strong>scalable MCP environments for LLM training and RL</strong></p> </div> <div> <a href="https://www.klavis.ai/docs/concepts/sandbox"> <img src="https://img.shields.io/badge/Explore-Sandbox-orange?style=for-the-badge&logo=data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjQiIGhlaWdodD0iMjQiIHZpZXdCb3g9IjAgMCAyNCAyNCIgZmlsbD0ibm9uZSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KPHBhdGggZD0iTTQgNEgyMFY4TDE4IDEwTDIwIDE2VjIwSDRWMTZMNiAxMEw0IDhWNFoiIHN0cm9rZT0id2hpdGUiIHN0cm9rZS13aWR0aD0iMiIgc3Ryb2tlLWxpbmVjYXA9InJvdW5kIiBzdHJva2UtbGluZWpvaW49InJvdW5kIi8+CjxwYXRoIGQ9Ik00IDhIMjAiIHN0cm9rZT0id2hpdGUiIHN0cm9rZS13aWR0aD0iMiIvPgo8cGF0aCBkPSJNNCAxNkgyMCIgc3Ryb2tlPSJ3aGl0ZSIgc3Ryb2tlLXdpZHRoPSIyIi8+Cjwvc3ZnPg==" height="40"> </a> </div> </div> </td> </tr> </table> </div>Quick Start
Option 1: Cloud-hosted - klavis.ai
Option 2: Self-host
# Run any MCP Integration
docker pull ghcr.io/klavis-ai/github-mcp-server:latest
docker run -p 5000:5000 ghcr.io/klavis-ai/github-mcp-server:latest
# Install Open Source Strata locally
pipx install strata-mcp
strata add --type stdio playwright npx @playwright/mcp@latest
Option 3: SDK
# Python SDK
from klavis import Klavis
from klavis.types import McpServerName
klavis = Klavis(api_key="your-key")
# Create Strata instance
strata = klavis_client.mcp_server.create_strata_server(
user_id="user123",
servers=[McpServerName.GMAIL, McpServerName.SLACK],
)
# Or use individual MCP servers
gmail = klavis.mcp_server.create_server_instance(
server_name=McpServerName.GMAIL,
user_id="user123",
)
// TypeScript SDK
import { KlavisClient, McpServerName } from 'klavis';
const klavis = new KlavisClient({ apiKey: 'your-api-key' });
// Create Strata instance
const strata = await klavis.mcpServer.createStrataServer({
userId: "user123",
servers: [Klavis.McpServerName.Gmail, Klavis.McpServerName.Slack],
});
// Or use individual MCP servers
const gmail = await klavis.mcpServer.createServerInstance({
serverName: McpServerName.GMAIL,
userId: "user123"
});
Option 4: REST API
# Create Strata server
curl -X POST "https://api.klavis.ai/v1/mcp-server/strata" \
-H "Authorization: Bearer your-api-key" \
-H "Content-Type: application/json" \
-d '{
"user_id": "user123",
"servers": ["GMAIL", "SLACK"]
}'
# Create individual MCP server
curl -X POST "https://api.klavis.ai/v1/mcp-server/instance" \
-H "Authorization: Bearer your-api-key" \
-H "Content-Type: application/json" \
-d '{
"server_name": "GMAIL",
"user_id": "user123"
}'
Resources
<div align="center"> <p><strong>Made with ❤️ by the Klavis Team</strong></p> </div>
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
