OpenMCP
FreeOpenMCP enables seamless AI tool integration with open-source Model Context Protocol.
By Tanmay Verma, Founder · Last verified 19 Jun 2026
3.9k views
Added 26d ago
79/100Safe BetIn short
OpenMCP — OpenMCP enables seamless AI tool integration with open-source Model Context Protocol. 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.
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Is OpenMCP actually worth it?
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Editorial Verdict
Best for
Developers building custom AI pipelines with MCPTeams seeking open-source control over AI tool integrationEarly adopters prototyping MCP-based systems
Not ideal for
Production deployments requiring mature documentationNon-technical users needing drag-and-drop interfacesEnterprises needing guaranteed vendor support
OpenMCP is a promising open-source solution for MCP-based AI integration, but currently lacks detailed documentation and visible community adoption. It's best for developers who prioritize openness and are comfortable with early-stage tools.
Last verified: June 2026
Behind the Verdict
OpenMCP positions itself as an open-source alternative for managing Model Context Protocol servers. If you're building custom AI workflows and want full control without vendor lock-in, this is a strong candidate. However, the platform appears to be in early development—the website provides minimal details on features, pricing, or integration capabilities. Compared to established tools like LangChain or Haystack, OpenMCP lacks maturity and community support. Real-world usage may require significant DIY effort to fill documentation gaps. We recommend evaluating it for proof-of-concept projects, but for production, consider more documented alternatives. The open-source nature is a plus for transparency, but be prepared for rough edges.
Skip OpenMCP if Skip OpenMCP if you only need a one-off API key manager or do not have the infrastructure to self-host a Docker-based gateway.
Latest from OpenMCP
Updated todayAcross the latest 5 updates: 1 feature update, 2 launches and 2 news mentions.
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Viability Score
79/100
Safe BetHow likely is OpenMCP to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
momentum
100
funding runway
40
website health
90
github activity
45
wrapper dependency
100
Last calculated: June 2026
How we score →About OpenMCP
OpenMCP is an open-source platform designed to streamline the integration of AI tools using the Model Context Protocol (MCP). It enables developers and organizations to connect various AI models and services efficiently, ensuring secure and scalable deployments. The platform offers a centralized hub for managing MCP servers, allowing users to discover, configure, and deploy tools with minimal overhead. Key features include real-time monitoring, version control, and support for custom plugins. Compared to proprietary solutions, OpenMCP provides flexibility and transparency, making it ideal for teams seeking full control over their AI infrastructure.
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Key Features
- Model Context Protocol server management
- Centralized tool discovery and configuration
- Real-time monitoring and logging
- Version control for MCP deployments
- Custom plugin support
- Secure API key management
- Multi-model orchestration
Real-world workflow fit
Concrete scenarios for the personas OpenMCP actually fits — and what changes day-one when you adopt it.
Platform engineer at a fintech startup
You have 5 AI agents (Claude, LangChain, CrewAI) that need to access internal transaction APIs and customer databases. Instead of configuring each agent separately, you register the APIs as MCP servers in OpenMCP. Agents call the gateway endpoint, and OpenMCP handles routing, authentication (SSO via Okta), and rate limiting.
Outcome: Agents connect to approved tools in under an hour, with centralized audit logs for compliance audits. You reduce integration time by 80% compared to per-agent configuration.
DevOps lead at a healthcare company
You need to deploy an MCP gateway inside a private cloud to keep patient data on-premise. You use OpenMCP's Docker compose file to spin up the registry and gateway behind your VPN. You register FHIR API endpoints as MCP servers and enforce role-based access for clinical agents.
Outcome: Agents access PHI-compliant tool integrations without data leaving your network, and you get health monitoring to ensure uptime for critical clinical workflows.
Architect at a large e-commerce company
Your team manages 20+ MCP servers (inventory, pricing, CRM, etc.) for agentic workflows. You configure OpenMCP's SSO with Azure AD and assign roles (admin, developer, viewer). You use the REST API to automate server registration during CI/CD pipelines.
Outcome: A single gateway manages all agent-tool traffic, with usage analytics helping you optimize which servers are most called. You enforce rate limits per agent to protect backend APIs from runaway prompts.
Use Cases
- Register all internal APIs as MCP servers and let your AI agents discover them via the gateway
- Enforce uniform authentication and rate limits across all tool integrations used by your 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 in your organization
- 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.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Annual total
Free
Over 12 months
Effective monthly
Free
Billed monthly
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
Small teams or individual engineers exploring MCP with up to 3 members who can self-host and don't need SSO or long audit logs.
What this tier adds
Free entry point with unlimited server registrations but capped at 3 users and no SSO/RBAC.
Team
$99/mo
Ideal for
Growing teams of 4+ who need SSO, role-based access, and priority support for production agent workflows.
What this tier adds
Adds unlimited team members, SSO (SAML/OIDC), RBAC, 7-day audit logs, and email support compared to Community.
Enterprise
Custom
Ideal for
Large regulated organizations needing custom SSO, dedicated support, long-term audit retention, and on-prem private cloud deployment.
What this tier adds
Adds dedicated support/SLA, custom SSO, 1-year audit logs, on-premise deployment, and custom integrations compared to Team.
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 fits mid-sized to large enterprises that need self-hosted governance. The Free Community tier is generous for small teams (up to 3 users) but forces upgrade as you grow. At $99/month, Team is competitive against managed alternatives like Portkey (starting at $100/mo) but lacks long audit retention. Enterprise is custom-priced, likely suitable for large regulated orgs. For smaller teams, open-source alternatives like MCP Gateway (free) or a DIY approach may be cheaper.
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.
For a platform engineer familiar with Docker: deploy the gateway in about 10 minutes using the docker-compose file. Registering first MCP server via CLI takes another 5 minutes. Expect 30–60 minutes to integrate SSO and configure RBAC. For a team with Kubernetes experience, helm chart adaptation adds 1–2 hours. First agent can call tools within an hour of deployment.
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.
Migrating in
- →From manual MCP config: Register each existing MCP server via CLI or API; agents point to OpenMCP gateway endpoint instead of direct server URLs.
- →From Portkey: Portkey offers a gateway API—adjust your agents to use OpenMCP's endpoint and export existing server configs via Portkey's API for import.
- →From a custom proxy: Replace your proxy with OpenMCP and import server schemas manually or via the REST API.
Migrating out
- ↗To Portkey: Switch agents to Portkey's gateway endpoint; export OpenMCP server configs via API for re-registration.
- ↗To a simple API gateway (e.g., Kong): Manually re-register servers as routes; lose MCP-specific features like health monitoring and schema validation.
- ↗To MCP Gateway (open-source): Migrate server definitions and agent endpoint to the new Gateway; data migration via CLI.
Recent material changes
Pricing, brand, ownership, or deprecation changes worth knowing before you commit. Most-recent first.
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Resources & Guides
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