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Klavis AI

MCP integration platform and live environments for AI agents

Klavis AI's open-source platform provides MCP integrations so agents can use tools reliably at scale. The company also builds live environments and training data for agents, including Dockerized long-horizon coding tasks and tool-use data across 600+ tools and SaaS apps. It is backed by Y Combinator.

Their open-source work

Klavis-AI/klavis

MCP integration platform that lets AI agents use tools reliably at scale

Maintained by Klavis-AI

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The de-facto standard toolkit for building LLM applications and agents.

LangChain makes the LangChain framework and LangGraph, the low-level orchestration standard for stateful, controllable agents, plus the LangSmith platform for tracing, evaluating and monitoring them in production.

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The integration layer: hundreds of managed tools your agents can call.

Composio handles auth, schemas, observability and reliability for the external SaaS tools an agent uses — 'plumbing for agentic actions' across Slack, GitHub, Salesforce and 250+ other surfaces.

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A registry and toolchain for MCP servers.

Smithery indexes and helps deploy MCP (Model Context Protocol) servers — a distribution layer for the tool ecosystem agents connect to.

3 pros · 4 cons

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Maintains · 1

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Sources

  1. Website
  2. GitHub