Agentic Index
Klavis AI vs Paragon (2026)
Klavis is MCP infrastructure in the purest sense: hosted production MCP servers with built in OAuth across six hundred plus tools, plus the open source Strata server you can run yourself, free to start.
Paragon is a managed integration platform that speaks MCP among other things, with a thousand plus prebuilt actions, triggers, RAG sync and workflows, documenting 11.5 of 14 against Klavis at 6. This is a bet on protocol against platform: Klavis if you are building on MCP and want to own the servers, Paragon if you want the integration problem handled.
Choose Klavis AI if
- You have committed to MCP and want hosted servers plus an open source option you control.
- Self hosting is a requirement, and the Strata server being open source is the reason you are looking.
- A free tier that lets you run real workloads matters more than breadth of prebuilt actions.
Choose Paragon if
- You want the integration problem solved rather than the protocol implemented well.
- Triggers, RAG sync, workflows and observability are in scope, and Klavis documents little or none of them.
- Documented coverage across the matrix is nearly twice as deep, which shortens your build.
| At a glance | Klavis AI | Paragon |
|---|---|---|
| Category | Agent infrastructure | Agent infrastructure |
| Entry price | Open source Strata server free; hosted free tier; paid plans for higher usage; Enterprise | Tiered pricing with a developer tier for building; production and enterprise pricing quoted through sales |
| Free / trial | Open source Strata server free to self host, plus a free hosted tier | Free developer tier for building and testing; paid tiers via sales |
| Pricing confidence | public partial | public partial |
| Feature | K Klavis AI |
P Paragon |
|---|---|---|
| Action & orchestration | ||
|
Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
Full / Explicit | Full / Explicit |
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
Partial | Full / Explicit |
|
Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
Partial | Full / Explicit |
| Knowledge & context | ||
|
Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
No / Not documented | Full / Explicit |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
No / Not documented | Partial |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
No / Not documented | Partial |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Full / Explicit | Full / Explicit |
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
No / Not documented | Full / Explicit |
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
Full / Explicit | Full / Explicit |
| Solution readiness | ||
|
Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
Partial | Full / Explicit |
| Platform extensibility | ||
|
Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
No / Not documented | Full / Explicit |
|
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
Full / Explicit | Full / Explicit |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
Partial | Partial |
| Specialist automation | ||
|
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
No / Not documented | No / Not documented |
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | K Klavis AI |
P Paragon |
|---|---|---|
|
Entry price Lowest public entry point |
Open source Strata server free; hosted free tier; paid plans for higher usage; Enterprise | Tiered pricing with a developer tier for building; production and enterprise pricing quoted through sales |
|
Pricing confidence How public the numbers are |
Public — partial | Public — partial |
|
Billing Primary billing axis |
usage (MCP tool calls and servers) | platform tier and connected active users or integrations |
|
Variable cost Workload / overage exposure |
Medium variable cost | Medium variable cost |
|
Free tier / trial Try before you buy |
Free tierTrial
|
Free tierTrial
|
|
Buying motion Self-serve vs sales call |
Mixed | Mixed |