linkgo
KlavisAI

KlavisAI

AIOfficial MCP

Open-source MCP integration platform that lets AI agents reliably use tools and automate workflows with managed authentications.

-(0 Reviews)
Free Available
Starting from Free
Premium plans available
Visit Official Site

About KlavisAI

Klavis AI provides open-source MCP (Multi-Channel Provider) integration layers and production-ready servers that allow AI agents to access and use external tools at scale. It offers managed authentication (including enterprise OAuth), a library of connectors for services like GitHub, Gmail, Slack, and Salesforce, and self-hostable MCP servers that can be deployed anywhere. Klavis focuses on reliability, scalability, and secure credential handling so developers and enterprises can connect agents to thousands of tools and automate cross-app workflows with minimal infrastructure overhead.

Screenshots

KlavisAI screenshot 1
+
KlavisAI screenshot 2
+
KlavisAI screenshot 3
+
KlavisAI screenshot 4
+
KlavisAI screenshot 5
+

Key Features

Managed Authentication: Centralized handling of enterprise OAuth and credential management to securely authenticate AI agents with third-party services without exposing secrets.
Production-Ready MCP Servers: Prebuilt, deployable MCP server packages and containers that can be launched quickly (quick start/30s claims) for production deployments and self-hosting.
Wide Connector Library: Pre-integrated connectors for popular services (e.g., GitHub, Gmail, Slack, Salesforce) enabling agents to call APIs and perform actions across apps.
Deploy Anywhere: Flexible deployment model supporting self-hosting, containerized deployments, and on-prem or cloud environments for enterprise control and compliance.
Scalable Tool Access: Designed to let agents use thousands of tools reliably with infrastructure and orchestration to handle high-volume and concurrent agent requests.
Enterprise Infrastructure: Features geared toward enterprise needs such as auditability, reliability, and hardened MCP infrastructure for production usage.
Open-Source Ecosystem: Public repositories and packages allowing customization, inspection, and contribution to the MCP integration stack.
Production-ready MCP servers
Enterprise-grade OAuth and managed authentications
Deploy anywhere / Self-hosting
Connectors for GitHub, Gmail, Slack, Salesforce and 50+ MCPs
User account management and usage quotas
Dedicated and community support options
Open-source MCP servers and integration layers
Managed authentications with enterprise-grade OAuth support
50+ production MCP server implementations / connectors
Connectors for services like GitHub, Gmail, Slack, Salesforce and more
Deploy anywhere / self-hosting support (containerized packages)
Quick start: run an MCP server in ~30 seconds
API to automate workflows across multiple apps
Production-ready infrastructure and enterprise deployment patterns
Container package available (openrouter-mcp-server)

Use Cases

Connecting Agents to Communication Tools: Allow AI assistants to read and send emails via Gmail, post messages and respond in Slack, and act on behalf of users using managed OAuth.
Developer Tooling Integration: Enable AI agents to interact with GitHub repositories (create issues, open PRs, comment) as part of automated development workflows.
Cross-App Workflow Automation: Orchestrate multi-step workflows across CRM (Salesforce), messaging, and productivity apps by letting agents call multiple connectors reliably.
Self-Hosted Enterprise Deployments: Deploy Klavis MCP servers on-premises or in a private cloud to meet compliance, security, and data residency requirements while enabling agent integrations.
Scaling Agent Tool Usage: Provide infrastructure for products that need many agents or high throughput to access external tools concurrently without custom auth code per service.
Integrating with Agent Frameworks: Use Klavis as the MCP layer for agent platforms (e.g., BrowserOS or custom agents) to simplify adding service support and authentication.
Enable AI agents to access third-party tools securely via OAuth
Automate cross-app workflows with managed authentications
Self-hosted MCP infrastructure for enterprise compliance
Scale AI integrations with usage-based MCP servers
Allow AI agents to access and act on user accounts across SaaS apps securely
Automate cross-application workflows via agent-driven APIs
Self-hosted deployments for enterprises requiring data control and compliance
Scale MCP infrastructure to support many agents and tool integrations
Provide OAuth-managed connector access for third-party services

MCP Server

https://www.klavis.ai/mcp-servers

💡 MCP (Model Context Protocol) enables AI assistants to securely interact with local and remote resources.

Explore more AI Mcps tools

Browse all Mcps tools →

Browse by use case: Automation & Productivity

Compare KlavisAI: vs Fudge MCP · vs AgentKey · vs Second Brain for AI · vs FetchSandbox