Self-hosted, open-source control plane to connect, proxy, and optimize all MCP traffic. Own your context. Deploy anywhere.
MCP is becoming the standard for agentic systems. Scaling to 10, 30, or 100 servers is where it breaks.
Tool definitions pile up, the model carries more than it can use, and you end up paying to restate schemas every run.
With too many similar tools in context, selection gets noisy—more mistakes, more retries, more latency, and more cost.
Access control and auditability drift across apps, observability gets patchy, and you lose a reliable answer to what ran, why, and cost.
Stop wiring every client to every MCP.
The MCP Mesh collapses tool access into a single governed endpoint, so any MCP-capable client (Cursor, Claude, internal agents) can use the same context layer with one integration.
Security and compliance can't live in every app.
The MCP Mesh enforces RBAC, policies, and approvals before execution, and writes an immutable audit trail for every model and tool call.
When something breaks, or spend spikes, you need one answer to: what ran, where, why, and what did it cost?
The MCP Mesh provides unified logs, traces, latency, error rates, and attribution across your entire context surface.
As your tool surface grows, naive tool discovery becomes expensive and slow.
The MCP Mesh gives you different strategies for different needs, including code execution and smart routing, to eliminate tool-description bloat.
Adopting MCP shouldn't mean picking a vendor forever.
Bindings define common interfaces for capabilities, so your apps target the contract, not the provider. Replace one MCP with another and keep your UI, workflows, and agents unchanged.
Run locally in 1 min, add your MCP servers, and route every connection through one endpoint.
Expose curated toolsets and choose a runtime strategy: smart selection, code execution, or pass-through.
RBAC, policies, approvals, audit logs, observability, and cost controls - centrally enforced.
Run it on your infra, audit the code, and control context end-to-end—no lock-in. Kubernetes-native. Or run it as a self-hosted binary or container: laptop, IoT, cloud, on-prem—anywhere.
