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mcp-agent vs Klavis AI

mcp-agentKlavis AI

Bottom line: mcp-agent for developers building on MCP; Klavis AI for teams wanting hosted MCP with OAuth.

mcp-agentmcp-agent

Open-source framework for building agents on the Model Context Protocol

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Klavis AIKlavis AI

Open-source infrastructure and hosted MCP servers with built-in OAuth across 600+ tools.

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Votes00
PricingFreeFreemium
CategoryMcpMcp
Tags
model-context-protocolagent-frameworkopen-sourceworkflow-patternspython
mcpopen-sourcehosted-serversoauthinfrastructure
Best for
  • Developers building on MCP
  • Teams needing composable agent patterns
  • MCP server integrators
  • Teams wanting hosted MCP with OAuth
  • Developers who value open source/self-hosting
  • Multi-tenant agent products
Pros
  • Purpose-built for MCP
  • Implements proven agent patterns
  • Composable AugmentedLLM design
  • Full MCP client feature support
  • Open source and self-hostable
  • Open source and self-hostable
  • Managed hosted servers with built-in OAuth
  • Multi-tenant auth across 600+ tools
  • Clients for Slack, Discord, and the web
  • SDKs for Python and TypeScript plus REST API
Cons
  • Python-only
  • Requires understanding of MCP concepts
  • Smaller ecosystem than general frameworks
  • Best value for MCP-committed teams
  • Minimal built-in UI
  • Young YC-stage company; rapid change expected
  • Production reliability must be validated yourself
  • Hosted-tier limits and enterprise pricing need confirmation
  • Self-hosting requires operational effort
  • Tool coverage varies by app

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