Problem

As teams adopt AI coding agents and MCP-powered tools, every engineer ends up with their own patchwork of config files, local servers, and tribal knowledge. There's no shared layer. Tools are invisible across teams, skills get siloed, and onboarding a new teammate means starting from scratch. The result is duplicated effort, inconsistent tooling, and zero discoverability.

Solution

Trunkline gives your entire org a single MCP endpoint. Register servers once and every tool gets auto-discovered by every teammate's agent with zero manual config. Skills, guides, and runbooks live alongside the tools so knowledge stays current and searchable. Smart routing keeps latency under 100ms, scoped API keys handle auth, and team-level permissions control visibility. You pay for tool calls, not seats, so the whole org can get on board from day one.

Highlights

• ·Single endpoint architecture: one URL serves every tool, team, and agent in the org
• ·Auto-discovery means teammates see registered tools instantly with zero local config
• ·Shared knowledge layer for skills, guides, and runbooks alongside the tool registry
• ·Sub-100ms smart routing adds negligible overhead to tool calls
• ·Auth and permissions built in with scoped API keys and role-based access out of the box
• ·Seat-free pricing model: unlimited members on every plan, pay only for usage