Telecommunications firms trust Stacklok’s AI agent guardrails
Put AI agents into production without compromising security, compliance, or network integrity
Solve telecommunications-specific challenges to optimizing use of AI agents
Stacklok’s Model Context Protocol (MCP) Platform is built for the operational complexity and regulatory demands of telecoms, so you can move from experimentation to production.
Security by design
AI agents only interact with the systems and data you explicitly allow, which is critical in an environment where a single misconfigured integration can expose network infrastructure or subscriber data.
Compliance and auditability
Integrate with your existing observability stack to generate a complete record of AI tool usage. Comply with CPNI requirements, GDPR, and national telecommunications regulations.
Operational simplicity
Provide engineers, developers, and knowledge workers with a single, controlled endpoint to access the exact tool(s) an AI agent is permitted to use.
Apply MCP to high-impact telecommunications use cases
Accelerate your existing AI initiatives and integrate with your current AI stack
Network operations and SRE automation
Enable AI agents to assist with incident response, root cause analysis, and log correlation across your network infrastructure without granting broad, ungoverned access to thousands of nodes. Stacklok lets you define exactly which tools an agentic SRE workflow can invoke, and sanitize returned data to contain blast radius if a tool or model is compromised.
Developer productivity at scale
Telecoms run large, distributed engineering organizations spanning software, platform, and network teams. Stacklok’s MCP registry and gateway let you centrally govern which MCP servers developers can access across IDEs like Cursor, VS Code, and Claude Code without blocking the productivity gains your teams expect from AI tooling.
Customer experience automation
AI agents that handle customer-facing workflows, from provisioning to support, need to query and act across CRM, BSS, and OSS platforms while preserving per-user identity. Stacklok ensures downstream systems log the actual end user, not a service account, so every automated action remains auditable.
Why telecommunications leaders choose Stacklok
Leaders trust our MCP platform because we:
Run in your VPC
Most MCP solutions are SaaS, which creates unacceptable data sovereignty and CPNI exposure risk for telecommunications providers. Stacklok runs in your Virtual Private Cloud or on-premises environment, so subscriber data and network telemetry never leave your infrastructure.
Built on open source
Stacklok builds in the open, with the community. Our popular ToolHive platform is Apache 2.0 licensed, so your team can evaluate and prototype without a procurement conversation, while you retain full control of the software you depend on.
Offer a full platform
Start by curating your own MCP registry or implementing a custom MCP gateway, and then expand to the complete Stacklok MCP platform according to your timeline and need
Take the next steps
Continue with your due diligence and know that we’re always available for an open conversation
for Enterprise
Start by curating a registry of trusted MCP servers for your enterprise
for Individuals
Dive into the ToolHive repo and docs, and then engage directly with our team.
Frequently asked questions
Stacklok’s Enterprise Model Context Protocol Platform is designed for telecommunications firms that operate with rigor in regulated environments.
Telecommunications organizations operate some of the most complex, high-stakes infrastructure in the world, spanning millions of endpoints, distributed data centers, and tightly regulated subscriber data. AI agents that interact with this infrastructure without proper controls represent both an operational and compliance risk. Model Context Protocol enables telcos to constrain AI behavior by design, governing which systems an AI can interact with, under what conditions, and with full auditability. This lets you accelerate AI-driven operations and developer productivity without compromising network integrity or regulatory standing.
Telecommunications providers in the US are subject to Customer Proprietary Network Information (CPNI) requirements enforced by the FCC, which restrict how subscriber data can be accessed and used. Providers operating in Europe or globally also contend with GDPR and national telecommunications regulations. Stacklok supports compliance with these obligations in several ways: all processing runs within your own infrastructure (no data egress to a third-party SaaS), the platform enforces least-privilege access so AI agents can only reach the subscriber data they’re explicitly authorized to use, and every tool call is logged with full user-level attribution, giving compliance and legal teams a defensible audit trail.
In telecommunications organizations, the path to production is rarely blocked by technical limitations, it’s blocked by security and risk reviews. Network security, AppSec, and GRC teams need clear, auditable answers about where MCP servers run, what data they can access, and how authentication and authorization are enforced. Stacklok is designed to give your security team exactly what they need to approve deployment. The platform enforces access policies, generates structured audit logs that flow into existing SIEM platforms, runs entirely within your own infrastructure, and supports policy frameworks (e.g. Cedar, OPA, Rego) your teams may already use. Rather than asking security to trust a black box, you walk into the review with a concrete, defensible architecture.
A common challenge in telecommunications AI deployments is that downstream systems end up logging a shared service account rather than the actual end user who initiated a tool call. This breaks audit trails and creates compliance exposure, particularly where access to subscriber data or network configuration is subject to regulatory controls. Stacklok solves this through per-user OAuth and token exchange. When an engineer or automated workflow invokes an MCP tool, their identity flows through the platform to the downstream system, so your CRM, OSS, or network management platform logs the real user, not a service principal. This preserves end-to-end accountability without requiring each downstream system to implement its own authentication logic.