- Tool type
- Open-source MCP integrations and connector runtime
- Made for
- Agent developers integrating external applications
- Runs on
- Docker services and local Strata CLI
What it does
Klavis MCP provides application integrations and connector tooling for AI agents. Its repository includes MCP servers with OAuth support and Strata, which organizes tool access for an agent’s context. Developers can run individual integrations in Docker or install the open-source Strata CLI.
The repository also documents hosted APIs and SDKs, but current hosted pricing and onboarding were not established from the provider’s public documentation. The self-hosted tools remain a distinct option from Klavis’s training-data business. They are useful for developers who need application connectors and are prepared to configure authentication, permissions and operational infrastructure.
What it can do
- MCP application connectors
- OAuth support
- Strata tool routing
- Docker deployment
- SDK examples
- REST API examples
Works with
- GitHub
- Gmail
- Slack
Before you choose
- Connected applications and self-hosted infrastructure have their own costs.
- Current hosted commercial terms require separate confirmation.
Listed under
Get started
- Choose an MCP integration or install Strata.
- Configure the required application credentials and OAuth access.
- Connect the agent and test the permitted tools.
Plans and prices
The repository is Apache-2.0 licensed. Hosting, infrastructure and connected application services may incur separate charges.
We couldn’t find published prices for Klavis MCP. See their pricing page ↗
Sources for this overview
Product pages, documentation, and pricing checked 30 Oct 2026. Each source supports part of the overview; availability and prices can change.
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How we research- Company website
- github.com: product, pricing and policy pages
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- Launch posts and discussion
- YC directory mirror
- Batch and company name
- Social accounts
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- Human review
- Checked by a person
- manual_review
Last checked 30 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.