Agentic Index
Klavis AI vs Paragon (2026)
Both vendors last verified
Klavis is MCP infrastructure in the purest sense, with hosted production MCP servers and built in OAuth across more than a hundred apps, plus the open source Strata server you can run yourself, free to start. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Paragon is a managed integration platform that speaks MCP among other things, with hundreds of agent actions, triggers, RAG sync and workflows. This is a bet on protocol against platform. Choose Klavis if you are building on MCP and want to own the servers. Choose Paragon if you want the integration problem handled.
On the Agentic Index agent infrastructure ranking, neither Klavis AI nor Paragon clears the bar, which asks for all five production contract capabilities documented in full. Klavis AI does not document security and identity governance in full, nor observability and auditability; Paragon does not document testing, debugging and optimization in full. 33 of the 186 vendors in the lane clear it. See the agent infrastructure ranking
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Klavis AI and Paragon are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 1,084 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
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.
- An embedded integration experience for your own customers shortens your build.
| Feature | K Klavis AI |
P Paragon |
|---|---|---|
| Action & orchestration | ||
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Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
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Klavis AIIntegrations & Tool Calling Hosted MCP servers from Klavis cover more than a hundred applications, from Affinity and Airtable to Zendesk and Zoho Mail. Each one connects per end user through OAuth 2.0 or an API key, so an agent reads and writes in that user's own accounts. Tools are reached through each server's MCP URL, through Strata or through the Call Tool API for plain function calling. Strata is one MCP server that lets the agent discover categories and actions across every connected server before executing one. Sourceklavis.ai/docs/mcp-server/overviewread 2026-09-22 |
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ParagonIntegrations & Tool Calling ActionKit is one API and MCP server giving an agent hundreds of integration actions across Paragon's connectors, with a uniform interface, agent optimized action schemas and real time execution. The Connect Portal handles OAuth and API key authorization per end user, so each action runs as that user and agents take authenticated action in the user's own SaaS tools. Sourcedocs.useparagon.com/learn/actionkitread 2026-09-22 |
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Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
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Klavis AIWorkflow Orchestration The product executes the tool calls an agent makes and returns the results. Sequencing, branching and handoff live in the customer's own framework, and Klavis publishes guides for LangChain and LangGraph, LlamaIndex, CrewAI, Agno, Mastra, Google ADK and the major model APIs. Strata's discover, browse and execute tools help the agent pick an action. Klavis has no workflow runtime of its own to sequence, branch, retry or route work, or to combine deterministic workflow nodes with autonomous agent steps. Sourceklavis.ai/docs/ai-platform-integration/overviewread 2026-09-22 |
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ParagonWorkflow Orchestration Workflows is Paragon's embedded iPaaS for event driven automations, with integration logic authored in TypeScript or a low code editor. A workflow can start from the customer's app, third party webhooks, an integration enabled event, a scheduler or another workflow, and API resources supply reusable triggers and steps. Steps are sequenced, branched and routed deterministically, executions can be reviewed step by step in Monitoring, and CI/CD and Git repo sync are supported. Sourcedocs.useparagon.com/learn/workflowsread 2026-09-22 |
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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. |
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Klavis AITriggers & Channel Coverage Slack and Discord clients come alongside the hosted servers, so a person can put MCP tools to work from those chat channels. Klavis gives no setup guide for either client. It names no schedule, webhook, event subscription or inbound queue that starts work without a person asking. Sourceklavis.ai/faqread 2026-09-22 |
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ParagonTriggers & Channel Coverage Third party events are forwarded to the customer's agent so it can work in the background and respond to what happens in a user's tools. One API subscribes to any user integration event, with normalized webhook policies across integrations. Workflows can be started by app events, integration webhooks, an API resource webhook or a scheduler, so work begins without a person asking. Sourceuseparagon.comread 2026-09-22 |
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| Knowledge & context | ||
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Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
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Klavis AIKnowledge Grounding & RAG MCP servers for Notion, Google Drive, Confluence and similar tools let an agent query those systems live, but Klavis builds no retrieval layer over the customer's own content. Strata finds tools, not documents, by browsing categories and actions instead of semantic search. Klavis names no ingestion, indexing, retrieval or RAG layer of its own, so there are no retrieved passages or sources to show. Sourceklavis.ai/docs/concepts/strataread 2026-09-22 |
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ParagonKnowledge Grounding & RAG Managed Sync runs fully managed ingestion pipelines over each end user's third-party sources (files, CRM records, tickets, accounting data). It has automatic backfill, incremental sync, failure recovery and normalized schemas, and scales to hundreds of millions of records. A Permissions API enforces the source system's access control on the ingested data for RAG, and records and file content can then be queried through the Sync API. The synced store persists, scales past any context window and stays queryable. Sourcedocs.useparagon.com/learn/managed-syncread 2026-09-22 |
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Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
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Klavis AIMemory & State Persistence Each end user's credentials and integration status are stored so tools act without asking for consent again. A sandbox holds application state for one training or evaluation run. Klavis names no memory layer that keeps an agent's context across runs. Its Mem0 server connects an agent to another vendor's memory product. Sourceklavis.ai/docs/api-reference/user/get-user-integrationsread 2026-09-22 |
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ParagonMemory & State Persistence Each connected user's authorization and synced third party records persist. Managed Sync, ActionKit and Workflows have no memory layer that keeps an agent's state or a user's context across runs. The synced data store holds records, not agent memory with a set scope or lifetime. Sourcedocs.useparagon.com/learn/managed-syncread 2026-09-22 |
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| Control & trust | ||
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Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
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Klavis AIHuman Oversight & Guardrails Each end user authorizes an integration through OAuth consent before its tools act, and a server connection can be set read only through the API. Klavis Guardrails sits as a proxy between MCP clients and servers. It detects tool poisoning and prompt injection, enforces least privilege access and checks tool invocations against allowlists. Klavis names no approval step a person acts on before an action commits, whether at a node, workflow or policy layer. Sourceklavis.ai/docs/enterprise-security/klavis-securityread 2026-09-22 |
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ParagonHuman Oversight & Guardrails End users authorize each integration for themselves in the Connect Portal and can be shown or particular workflows through Workflow Permissions, and the customer controls which actions its product exposes. Those settings limit what an agent may do, but there is no step where a person reviews, approves or validates an agent action before it commits. Sourcedocs.useparagon.com/connect-portal/workflow-permissionsread 2026-09-22 |
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Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
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Klavis AISecurity, Identity & Governance The API enforces HTTPS with API key authentication. Each end user's credentials are scoped per integration and returned only to the key owner that controls the instance, and customers can run OAuth through their own white label OAuth apps. Connections can be set read only, and Klavis Guardrails enforces least privilege tool access. No attestation or certification is published. On security, Klavis points only to its built in OAuth, and it publishes terms, privacy and cookie policies but no trust center. Klavis names no SSO, roles or audit trail. Sourceklavis.ai/docs/api-reference/overviewread 2026-09-22 |
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ParagonSecurity, Identity & Governance Compliance covers SOC 2 Type II, HIPAA and GDPR, and the plans include GDPR and SOC 2 compliance as a feature. A Trust Center and security documentation cover encryption standards, access control and a signable DPA. On the access side there is SAML based SSO on Enterprise, managed OAuth and API key authorization per end user through the Connect Portal with signed user tokens, and workflow permissions restricting which users or groups see which integrations. Sourceuseparagon.com/pricingread 2026-09-22 |
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Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
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Klavis AIObservability & Auditability The API returns server instances, tools, users and authentication status, and users check authentication in the dashboard. Klavis names no log, trace, execution history or audit event of the tool calls an agent makes through it, and no export to a SIEM. Guardrails' real time threat detection acts on calls as they happen, and Klavis does not say whether it keeps a record the customer can inspect. Sourceklavis.ai/docs/api-reference/overviewread 2026-09-22 |
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ParagonObservability & Auditability Monitoring gives per-event visibility across the integration stack. It keeps searchable atomic logs of every project event, ActionKit tool-call logs with payloads inspected in real time, trigger subscription events and payloads, workflow executions with step-by-step breakdowns and failure details, and a Connected Users dashboard of each user's connection health. Events route to the customer's own stack through Event Destinations (Slack, Datadog, New Relic, Sentry) and the Task History API. Sourcedocs.useparagon.com/monitoring/overviewread 2026-09-22 |
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Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
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Klavis AIDeployment & Data Residency Hosted servers run on Klavis's infrastructure with a stated 99.9% uptime SLA. There are two production servers, api.klavis.ai for the US and api.eu.klavis.ai for the EU. For on premises or custom deployments, every MCP server ships as a Docker image to run in the customer's own infrastructure, and Strata is open source. Customers can pick the US or EU region, or run the servers in their own environment. Sourceklavis.ai/docs/concepts/mcpread 2026-09-22 |
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ParagonDeployment & Data Residency Hosting runs either in Paragon's own cloud or entirely on the customer's infrastructure. On premises hosting comes with a managed instance configuration, and the Enterprise plan includes self hosting and forward deployment. Sourcedocs.useparagon.com/on-premise/hosting-paragon-on-premiseread 2026-09-22 |
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| Solution readiness | ||
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Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
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Klavis AIPrebuilt Agents, Templates & Packs The catalog holds MCP servers and tools. They give an agent actions to take and do no work on their own when selected. The framework guides build example agents as tutorial code. Klavis names no ready made workflow, template or role specific agent of its own for a customer to adopt. Sourceklavis.ai/docs/mcp-server/overviewread 2026-09-22 |
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ParagonPrebuilt Agents, Templates & Packs The connector catalog and action library give an agent actions to call, but these are integration capabilities, not packaged assets. The use case library offers implementation guides, not assets a customer adopts. Paragon has no ready made workflows, templates or role specific agents of its own. Sourceuseparagon.com/use-case/libraryread 2026-09-22 |
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| Platform extensibility | ||
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Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
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Klavis AIModel Flexibility & Routing Tools are served to whatever model the customer runs. The List Tools API returns a server's tools in several model formats, and integration guides cover OpenAI, Anthropic's Claude, Gemini, Mistral, Cohere, Together AI and Fireworks AI, each using the customer's own provider key. Klavis names no model of its own, so the model, the provider and the key are the customer's throughout. Sourceklavis.ai/docs/ai-platform-integration/overviewread 2026-09-22 |
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ParagonModel Flexibility & Routing Paragon serves integration actions to whatever model or framework the customer runs. ActionKit is delivered as an API or MCP server with agent optimized schemas and is used from the customer's own agent code. Paragon has no model of its own, so the model is the customer's choice throughout. Sourceuseparagon.comread 2026-09-22 |
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APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
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Klavis AIAPIs, SDKs & MCP Extensibility Outside callers reach Klavis through a REST API at api.klavis.ai with a published OpenAPI specification. Python and TypeScript SDKs cover servers, Strata, users, OAuth, white labeling and sandboxes. Klavis serves MCP as an addressed service, with each hosted server and each Strata instance at its own URL. The servers and Strata are open source for self hosting. Sourceklavis.ai/docs/installationread 2026-09-22 |
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ParagonAPIs, SDKs & MCP Extensibility The platform is built for developers. Its APIs and SDKs include a front end Connect SDK, headless Connect Portal APIs, the ActionKit and Sync APIs with published OpenAPI specs, a Permissions API and a Task History API. Builders also get a custom integration builder, custom actions, a hosted demo environment and a self hostable MCP server. Sourcedocs.useparagon.com/llms.txtread 2026-09-22 |
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Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
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Klavis AITesting, Debugging & Optimization Isolated sandboxes of real applications let the customer test and train its agent. A Klavis Sandbox is loaded with a deterministic world state, and the agent works against it through MCP. The full state can be exported to compare against ground truth, and the sandbox resets for the next run. The Universe API acquires benchmark task environments, and its verify endpoint runs the task's check and returns whether the task passed, with the failure reason. Sandboxes can also be configured for the MCP-Atlas, Toolathlon and MCP-Mark benchmarks. Sourceklavis.ai/docs/api-reference/universe/verify-taskread 2026-09-22 |
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ParagonTesting, Debugging & Optimization Changes move through Release Environments, which test and deploy them before production, and versioned releases name breaking changes. A hosted demo environment and an ActionKit playground let teams try actions, and logs help debug failures. There is no way to score a change, such as test cases, a pass rate or a judge verdict. Sourcedocs.useparagon.com/deploying-integrations/release-environmentsread 2026-09-22 |
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| Specialist automation | ||
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Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
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Klavis AIBrowser & Computer Use The Local Sandbox API starts a virtual machine hosting interconnected MCP servers, among them Playwright for a browser plus a terminal and Desktop Commander for the machine. It serves filesystem, terminal, browser and document workflows during agent training and evaluation. Klavis restricts it to use outside production and says nothing more about driving a browser through the hosted Playwright server. The hosted MCP servers and Strata work through application APIs, not interfaces. Sourceklavis.ai/docs/api-reference/local-sandbox/acquireread 2026-09-22 |
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ParagonBrowser & Computer Use Paragon reaches third party apps through their APIs and its own connectors. It runs no browser, desktop or remote computer session for an agent, and no headless fetch or third party browser engine is wired in. Sourcedocs.useparagon.com/learn/actionkitread 2026-09-22 |
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Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | K Klavis AI |
P Paragon |
|---|---|---|
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Entry price Lowest public entry point |
Free (open source servers and a hosted free plan); Pro and Enterprise unpriced; sandboxes by quote | Platform and Enterprise plans, priced by Connected Users; custom quote |
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Pricing confidence How public the numbers are |
Public, partial | Contact only |
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Billing Primary billing axis |
not published (plan tiers named in the FAQ; sandbox environments by quote) | Connected Users (customer tenants using integrations), with default usage built in per plan |
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Variable cost Workload / overage exposure |
Medium variable cost | Medium variable cost |
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Free tier / trial Try before you buy |
Free tierTrial
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Free tierTrial
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Buying motion Self-serve vs sales call |
Mixed | Mixed |
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Pricing verified When this pricing was last checked |
Product updates
Newest first, each linked to its source.
Paragon
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· Deployment / data residency
Paragon introduced Versioned Releases for its integration platform.
Source -
· Integrations
Paragon launched Smart Rate Limits to manage and optimize API requests across its integration infrastructure.
Source -
· MCP / tool calling / API
Paragon introduced its managed Model Context Protocol (MCP) server to connect AI products to over 130 third-party integrations.
Source
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