Klavis AI

What do they actually do

Klavis AI provides open‑source MCP (Model Context Protocol) servers and clients that you can run yourself, plus a hosted/cloud service and REST APIs that operate those servers for you. Developers use their SDKs (Python/TypeScript) and quickstarts to spin up MCP servers, attach connectors, and invoke tool calls from agents without rebuilding OAuth and per‑app glue code docs/introduction, GitHub repo.

On top of MCP, Klavis ships “Strata,” which helps agents progressively discover the right tool to use, drill into capabilities, and then execute the call. Strata is available as a hosted option and as open source you can run yourself homepage/Strata, Strata video.

The service includes 100+ prebuilt integrations (e.g., Gmail, Slack, Notion, GitHub, Salesforce, Stripe, Google Drive, Postgres) with OAuth handled by Klavis so teams don’t rebuild auth flows. They offer self‑hosted containers and a hosted tier with a free/hobby option to try before scaling integrations, docs quickstart, pricing.

Who are their target customer(s)

• Small AI startups building LLM-powered agents: They lose time writing OAuth flows, connectors, retries, and tenant isolation instead of improving agent behavior. They need a faster way to connect agents to real apps without maintaining brittle glue code.
• Product/platform teams adding agent features to an existing app: They need a centrally managed way for agents to call customer tools without each team re‑implementing auth and error handling. Fragmented connectors and operational overhead slow releases and increase bugs.
• Enterprise security and compliance teams evaluating agent integrations: They require on‑prem options, audit logs, and granular controls over data access and actions. Most agent integrations are too permissive by default and don’t meet GDPR/SOC‑level controls without heavy customization.
• Ops and automation owners (sales ops, CS, IT automation): They want reliable multi‑step tasks across Slack, Gmail, CRMs, and databases that don’t break on edge cases or field mapping. Inconsistent APIs and weak error handling cause failures and make agents surface too many choices.
• Connector maintainers and open‑source contributors: They’re tired of duplicating connector code and OAuth/schema mapping across teams. There’s no shared, discoverable place to publish and reuse integrations, which slows ecosystem growth.

How would they acquire their first 10, 50, and 100 customers

• First 10: Target early agent builders and open‑source contributors with direct outreach, free hosted credits, and one‑week hands‑on integration support to ship a working connector and capture feedback/testimonials repo, quickstart.
• First 50: Run community programs (hackathons, webinars, “connector sprints”) and publish starter templates and end‑to‑end demos so small teams can self‑serve; promote Strata and prebuilt integrations via posts and walkthroughs to convert active users into paid pilots integrations, Strata video.
• First 100: Add a targeted product/enterprise motion with solutions engineers and on‑prem or white‑glove pilots; package compliance artifacts to smooth procurement and convert pilots into multi‑tenant deployments GDPR post, pricing/enterprise.

What is the rough total addressable market

Top-down context:

Klavis sits at the intersection of integration/iPaaS, conversational AI/agents, and automation/RPA—markets estimated at ~$7.85B (2025) for iPaaS, ~$14.29B (2025) for conversational AI, and ~$22.6B (2025) for RPA Mordor Intelligence, Grand View Research, Fortune Business Insights.

Bottom-up calculation:

Conservatively treating Klavis as a substitute for the connector/runtime/orchestration slice of iPaaS: 10–20% of $7.85B implies a near‑term SAM of ~$0.79B–$1.57B Mordor Intelligence.

Assumptions:

• Only the connector hosting, OAuth, and orchestration share of iPaaS spend is addressable (exclude heavy ETL/EAI).
• Agent and RPA buyers allocate a minority of their budgets to connector/runtime layers vs. applications/services.
• Estimates from different firms vary; use as order‑of‑magnitude anchors rather than precise ceilings.

Who are some of their notable competitors

• Zapier (AI Actions): Lets AI platforms run Zapier’s 7,000+ app integrations and 30,000+ actions with auth handled by Zapier—positioned as a connector runtime for AI agents Zapier AI Actions.
• Workato: Enterprise iPaaS and automation platform offering connectivity, API management, and AI workflows for complex, governed use cases Workato platform.
• n8n: Open‑source workflow automation you can self‑host or run in the cloud, with hundreds of integrations and support for AI agent workflows n8n homepage, features.
• Paragon: Embedded iPaaS for developers to ship native product integrations with built‑in auth, monitoring, and hosting options; includes use cases for AI agents Paragon site.
• Nango: OAuth and unified API platform that offloads API auth, token refresh, and connection management for 400+ APIs—used to power in‑app integrations Nango docs, Nango site.