How Harness AI Reaches Your Toolchain, Safely
Blog post from Harness
Harness built an MCP Gateway to let its AI Chat interact with external tools such as GitHub, Jira, and Confluence from within a single conversation, enabling users to make pipeline-related changes, open pull requests, and update tickets without leaving the platform. The gateway presents connected third-party applications as a unified tool provider while relying on existing Harness Connectors, RBAC, Secret Manager, and AI security controls rather than introducing separate credential or permission systems. Administrators can add supported applications without code changes or redeployments, while users can access only the tools and capabilities permitted by their roles. To support large-scale distributed operations, the system automatically restores broken or expired connections and stores conversation state centrally so sessions can continue across pod restarts or infrastructure changes. Additional governance includes per-tool approval settings, fail-closed request scoping, and runtime inspection of tool inputs and outputs for prompt injection and misuse.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| MCP | 9 | 8,729 | 854 | 211 | -20% |
| Secrets Management | 6 | 2,244 | 480 | 132 | -13% |
| AI Agents | 5 | 5,780 | 1,243 | 245 | -15% |
| Platform Engineering | 2 | 1,191 | 259 | 79 | -17% |
| Kubernetes | 1 | 3,490 | 385 | 112 | +26% |
| LLM | 1 | 5,068 | 1,020 | 229 | -34% |
| RAG | 1 | 1,152 | 209 | 75 | -6% |
| Zero Trust | 1 | 201 | 62 | 27 | -20% |
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