OpenMCP
Open-source MCP gateway for managing, deploying, and securing AI tool integrations.
For teams that want to own their MCP infrastructure, OpenMCP is a solid pick: the free Community tier covers up to three members and self-hosting keeps data in-house. But the documentation is thin and there's no managed cloud, so only choose it if your team is comfortable with Docker and Kubernetes. If you need a richer ecosystem or managed options, look at LangChain or Portkey instead.
Verified 5h ago · liveness 60/100 · cite: rightaichoice.com/tools/openmcp
- Developers building custom AI pipelines with MCP
- Teams seeking open-source control over AI tool integration
- Early adopters prototyping MCP-based systems
- Organizations requiring self-hosted or on-premise deployments
- Production deployments requiring mature documentation
- Non-technical users needing drag-and-drop interfaces
- Enterprises needing guaranteed vendor support without self-hosting
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Skip OpenMCP if you need a fully managed cloud service, have no in-house Docker/Kubernetes expertise, or expect turnkey documentation and support — you'll spend too much time on setup and maintenance.
The Community edition caps at 3 users, so a growing team will need to pay $99/mo for unlimited seats.
OpenMCP's pricing is flat and predictable: $0 for up to 3 users, $99/mo for unlimited users and SSO. This is cheaper than per-seat rivals like Portkey (which can cost more per user) and gives more control than managed SaaS options. But it's only cost-effective if you can absorb the operational overhead of self-hosting.
In short
OpenMCP — Open-source MCP gateway for managing, deploying, and securing AI tool integrations. Best for Developers building custom AI pipelines with MCP, Teams seeking open-source control over AI tool integration, Early adopters prototyping MCP-based systems. Free to start; paid plans from $99/mo.
Viability Score
How well maintained and how widely used is OpenMCP? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: August 2026
How we score →Key Features
- MCP server registration and discovery
- Real-time monitoring and logging
- Version control for MCP deployments
- Custom plugin support
- Role-based access control (RBAC)
- SSO integration (SAML/OIDC)
- Audit logs with customizable retention
- API key management
- Self-hosted deployment via Docker
- Self-hosted deployment via Kubernetes
- On-premise private cloud (Enterprise)
About OpenMCP
OpenMCP is an open-source platform that acts as a centralized hub for registering, discovering, configuring, and deploying MCP servers. It gives technical teams real-time monitoring, version control, audit logging, role-based access control, and API key management, enabling full control over AI tool integrations. You can self-host it via Docker or Kubernetes, or choose on-premise deployment for enterprise needs. The Community edition is free for up to 3 team members, the Team plan costs $99/mo for unlimited users and SSO, and Enterprise offers on-premise deployment and custom SLAs. While it offers deep control for technical teams, it lacks mature documentation and drag-and-drop usability, making it less suitable for non-technical users or those seeking a fully managed solution.
Behind the Verdict
OpenMCP fills a specific niche: teams that need to control their MCP server landscape without relying on a third-party cloud. The open-source nature means you can audit the code, customize it, and deploy it in your own environment, which is a big deal for regulated industries or organizations with strict data residency requirements. Strengths: The free Community tier is generous for small teams (up to 3 users) and includes core features like real-time monitoring, version control, and RBAC. Self-hosting via Docker or Kubernetes is well-suited for teams already using container orchestration. The Team plan at $99/mo is a flat rate that unlocks unlimited users and SSO, which is cost-effective compared to per-seat pricing models. Weaknesses: The most obvious gap is documentation. The site mentions it's 'sparse,' and that's a real friction point for onboarding. If you're not a Docker/Kubernetes expert, you'll struggle to get started. There's no managed cloud offering, so you're on the hook for uptime, scaling, and security patching. Audit log retention is only 7 days on Team, which may not meet compliance requirements without going Enterprise. And there's no drag-and-drop or low-code interface, so non-technical users are locked out. Where it fits: Small to mid-sized engineering teams that are already comfortable with infrastructure, building custom AI pipelines with MCP, and value open-source control. It's also a fit for enterprises that need on-prem deployment and have the ops staff to support it. Where it doesn't: If you're a solo developer or a small team without deep infrastructure skills, or if you need a fully managed service with SLAs and support, OpenMCP will be a burden. Also, if you need a rich ecosystem of pre-built integrations, OpenMCP is barebones — you'll likely have to build your own. Overall, OpenMCP is a credible option for the right buyer, but it's not for everyone. We'd recommend evaluating your team's infrastructure readiness before committing.
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Real-world workflow fit
Concrete scenarios for the personas OpenMCP actually fits — and what changes day-one when you adopt it.
You need to expose internal APIs to your agents via MCP. You spin up OpenMCP via Docker, register your MCP servers, and set up RBAC and API keys for your team. You use the dashboard to monitor health and usage.
Outcome: Your agents can discover and use internal tools in a controlled way, with audit trails and version control, without paying for a managed gateway.
Your team uses multiple AI tools and needs a central point of control. You deploy OpenMCP on Kubernetes, set up SSO, and define roles for different teams. You use version control to manage MCP server deployments.
Outcome: You have a single source of truth for AI tool integrations, with team-based access control and audit logs, reducing shadow IT and improving compliance.
You must ensure all AI-agent interactions are audited and data stays on-premise. You opt for the Enterprise plan with on-premise deployment and custom SLAs. You configure audit logs to meet compliance standards.
Outcome: You can deploy OpenMCP within your own infrastructure, meeting data residency requirements, and have the audit trail necessary for regulatory compliance.
Use Cases
- Register all internal APIs as MCP servers and let AI agents discover them via the gateway
- Enforce uniform authentication and rate limits across all tool integrations used by agents
- Monitor health and usage of each MCP server from a single dashboard to detect failures proactively
- Provide an internal marketplace of pre-approved MCP servers for different teams
- Audit all agent-tool interactions for compliance in regulated industries like finance or healthcare
Limitations
- The Community edition is capped at 3 users, which limits growth for small teams.
- Audit log retention is only 7 days on the Team plan, requiring Enterprise for longer periods.
- While the web UI is functional, it lacks advanced dashboard customization.
- Deployment requires Docker or Kubernetes knowledge; there is no fully managed cloud version.
- Documentation is currently sparse, making onboarding slower for new users.
as of 2026-08-15
Verification history
We have re-verified OpenMCP 16 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 16 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published OpenMCP tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Community
$0/mo
Ideal for
Solo developers or small teams (up to 3 members) who want to self-host an MCP gateway and are comfortable with Docker/Kubernetes.
What this tier adds
Free entry point with core features like monitoring, version control, and RBAC, but limited to 3 users.
Team
$99/mo
Ideal for
Growing teams needing unlimited users and SSO, but still willing to self-host. Suitable for organizations that want a flat-rate pricing model.
What this tier adds
Adds unlimited users and SSO (SAML/OIDC) over Community, plus audit logs, at a flat $99/mo.
Enterprise
Custom
Ideal for
Large organizations requiring on-premise deployment, custom SLAs, and dedicated support, especially in regulated industries.
What this tier adds
Adds on-premise private cloud deployment, custom SLAs, and dedicated support, with custom pricing.
Where the pricing makes sense
The company stage and team size where OpenMCP's pricing actually pencils out — and where peers do it cheaper.
OpenMCP's pricing is flat and predictable: $0 for up to 3 users, $99/mo for unlimited users and SSO. This is cheaper than per-seat rivals like Portkey (which can cost more per user) and gives more control than managed SaaS options. But it's only cost-effective if you can absorb the operational overhead of self-hosting.
Setup time & first value
How long it actually takes to get something useful out of OpenMCP — broken out by persona, not the marketing-page minute.
A developer familiar with Docker can get OpenMCP running in a few hours, including registering a few MCP servers. Kubernetes deployments may take a day. Non-technical users will need more time due to sparse documentation.
Switching to or from OpenMCP
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From a manual MCP setup: Register your existing MCP servers into OpenMCP's gateway and use its monitoring and version control from day one.
- ↗To a managed gateway like Portkey: Export your configuration and API keys, then re-create them in Portkey's dashboard.
Resources & Guides
Tutorials & Learning
Official links
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