Sushegaad/MCP-Server-for-ISO27001

Description and use

**Brief summary (2‑3 sentences)**
The MCP‑Server‑for‑ISO27001 is a stateful Model Context Protocol (MCP) server written in TypeScript that equips Claude (or any MCP‑compatible LLM) with a full‑featured ISO 27001:2022 ISMS on your own machine. It stores all evidence, policies, risk registers and audit results in an encrypted SQLite database, letting you ask the AI to run gap assessments, manage risks, generate documentation, and conduct audits through a standard MCP API/CLI.

**Value**

• **AI‑driven security governance** – By exposing the ISMS data via MCP, security teams can leverage Claude’s natural‑language capabilities to automate routine ISO 27001 tasks (risk analysis, policy drafting, evidence collection) without building custom scripts.
• **Standardized integration** – MCP provides a vendor‑agnostic contract, so the same server can be swapped for other AI assistants or integrated into existing CI/CD, ticketing, or GRC platforms with minimal code changes.
• **Local, encrypted data store** – All sensitive information stays on‑premises in an encrypted SQLite DB, satisfying data‑sovereignty and compliance requirements while still being easily queryable by the AI.

**Practical adoption path**

1. **Prototype** – Clone the repo, run npm install && npm start to launch the server locally; use the provided CLI or HTTP endpoint to feed your existing ISO 27001 artifacts (risk register, policies, evidence).
2. **Connect Claude** – Configure Claude (or another MCP‑compatible model) with the server’s endpoint and authentication token; start issuing natural‑language commands (e.g., “run a gap assessment for Control A.12.4”).
3. **Iterate & extend** – Add custom MCP signals or SDK wrappers to map internal tools (ticketing systems, CI pipelines) to the server’s actions, and optionally replace SQLite with a more robust DB for larger deployments.
4. **Pilot in a controlled environment** – Deploy the server behind your corporate firewall, enable role‑based access, and run a limited‑scope audit to validate accuracy and audit‑trail completeness.

**Production readiness**

• **Maturity**: Medium. The project is functional and actively updated (as of 2026‑06‑29) with 23 stars and 5 forks, but it lacks extensive production‑grade testing, automated security scans, and formal SLAs.
• **Dependencies**: Relies on Node/TypeScript and an encrypted SQLite backend; suitable for internal prototypes or small‑to‑medium teams, but larger enterprises may want to replace SQLite with PostgreSQL or another hardened DB and add container‑orchestration health checks.
• **Risk considerations**: No glaring licensing or metadata issues, yet a thorough review of the MIT‑style license, dependency vulnerabilities, and long‑term maintainer commitment is recommended before a critical production rollout.

In short, the MCP‑Server‑for‑ISO27001 offers a quick way to blend AI assistance with ISO 27001 governance, is straightforward to spin up for pilots, and can be hardened for production with modest engineering effort and a security review.

Use in a workflow

Sushegaad/MCP-Server-for-ISO27001 helps connect AI assistants to real tools and data through a standard protocol.

• connect AI agents to tools
• ship Model Context Protocol servers
• standardize integrations

Limitations and review notes

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.