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Klavis

Safety: 65/100

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Klavis is an MCP server that provides intelligent connectors and integrations for AI agents, offering prebuilt integrations and scalable environments.

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Overview

Klavis is an MCP server that provides intelligent connectors and integrations for AI agents, offering prebuilt integrations and scalable environments.

Klavis offers a balance of convenience and control. It's safe when used with read-only integrations and proper authentication. Risks increase when write operations are enabled without adequate security measures.

Performance depends on the specific MCP integration and the volume of data being processed. Consider optimizing API calls and data transfer to minimize latency.

Cost depends on the usage of individual MCP integrations and the associated API costs. Monitor API usage and optimize data transfer to minimize costs.

LocalPython5,632 starsApache-2.0Released 1/29/2026CI/CD

Connections & Capabilities

Connects To

GitHubSlackDiscordDockerPlaywright

Capabilities

ReadWriteExecAdmin

Client Compatibility

Claude Desktop

full

Cursor

untested

Windsurf

untested

VS Code (Copilot)

untested

Tools (4)

moderate

github-mcp-server

Allows AI agents to interact with GitHub repositories, enabling tasks like issue management and code review.

Can modify repositories, create issues, and manage pull requests.

moderate

gmail-mcp-server

Enables AI agents to read, send, and manage emails via Gmail.

Allows sending and deleting emails, potentially exposing sensitive information.

moderate

slack-mcp-server

Allows AI agents to interact with Slack channels, enabling tasks like sending messages and managing users.

Can send messages and manage channels, potentially causing disruptions.

high

playwright

Enables AI agents to automate web browser interactions, allowing tasks like data scraping and form filling.

Can interact with any website, potentially leading to unintended actions or data breaches.

Security

Auth Method

API Key

Data Locality

local

Known Risks

!Compromised API keys could lead to unauthorized access.
!Improperly configured OAuth integrations may expose user data.
!Vulnerabilities in underlying MCP integrations could be exploited.
!Lack of rate limiting could lead to excessive API usage and cost overruns.

Safety Score

moderate risk

Positive

+Provides prebuilt integrations, reducing the need for custom code.
+Offers OAuth support for secure authentication.
+Includes Strata for optimizing context window and managing data flow.
+Supports sandboxed environments for LLM training and RL.

Risks

-Write operations are possible through some integrations.
-Potential for data exposure if integrations are misconfigured.
-Reliance on external services introduces dependency risks.
-API key management requires careful handling to prevent unauthorized access.

Use Cases

Customer Support

-Automated email responses
-Slack-based issue resolution
-GitHub issue triage

Software Development

-Automated code review
-Issue tracking and management
-CI/CD pipeline integration

Data Analysis

-Web scraping for data collection
-Automated report generation
-Data integration from multiple sources

Workflow Automation

-Automated task scheduling
-Cross-platform data synchronization
-Event-triggered actions

Who Is This For?

Best For

AI agents requiring access to multiple services.
Automating tasks across different platforms.
Integrating AI with existing workflows.
Building custom AI-powered applications.

Not Ideal For

Applications requiring strict security and isolation.
Use cases involving highly sensitive data.
Environments with limited network connectivity.

Autonomy & Execution

Default ModeConfigurable

Destructive ToolsSandboxed

Autonomy depends on the configuration of individual MCP servers and the permissions granted to the AI agent.

StatelessYes

Retry LogicNot documented

ConcurrencyNot documented

Production Tip

Implement robust error handling and monitoring to detect and mitigate potential issues in production.

FAQ

What is an MCP server?

An MCP (Model Context Protocol) server provides a standardized interface for AI agents to interact with various services and data sources.

How do I authenticate with Klavis?

Klavis uses API keys for authentication. You can obtain an API key from the Klavis AI website.

What integrations are available?

Klavis offers a variety of prebuilt integrations, including Gmail, Slack, GitHub, and more. See the documentation for a complete list.

Can I create my own MCP integrations?

Yes, Klavis supports custom MCP integrations. You can develop your own integrations using the Klavis SDK.

Is Klavis suitable for production environments?

Yes, Klavis is designed for production environments. However, it's important to implement robust error handling and monitoring to ensure stability.

How does Klavis handle data security?

Klavis uses OAuth for secure authentication and encrypts data in transit. It's important to configure integrations properly to protect sensitive data.

What is Strata?

Strata is a feature within Klavis that optimizes the context window for AI agents, improving performance and reducing costs.

Metrics

Discovered2/14/2026

Reviews0

Saved By0 users

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