code-rabi/interactive-brokers-mcp — Interactive Brokers MCP Server

Description and use

**Brief Summary (2‑3 sentences)**
The *interactive‑brokers‑mcp* project provides a Model Context Protocol (MCP) server that bridges AI assistants with Interactive Brokers’ trading platform via a standardized, language‑agnostic API. By exposing signals such as REST/SDK/CLI endpoints and rich metadata, it lets developers quickly prototype AI‑driven trading agents or integrate existing tools into a unified MCP ecosystem. With 127 stars, active JavaScript code, and recent updates (May 2026), it is a solid starting point for internal or experimental deployments.

**Value**

• **Standardized integration** – The MCP server abstracts the broker’s native APIs behind a common protocol, making it easy to swap or combine different data sources and tools without rewriting AI‑agent logic.
• **Accelerates AI‑agent development** – Developers can focus on prompting and reasoning while the server handles authentication, order routing, and market‑data streaming.
• **Open‑source flexibility** – The JavaScript implementation can be extended or self‑hosted, giving full control over security, latency, and compliance requirements.

**Practical Adoption Path**

1. **Prototype** – Clone the repo, run the Docker compose (or npm start) to spin up the MCP server locally; use the provided Swagger UI to test market‑data and order endpoints.
2. **Connect an AI agent** – Point your LLM‑orchestrator (e.g., LangChain, AutoGPT) to the server’s /mcp endpoint; the agent can now issue get_price, place_order, etc., via the MCP schema.
3. **Secure & customize** – Add your Interactive Brokers API keys, enable TLS, and optionally replace the default in‑memory store with a persistent DB.
4. **Deploy** – Containerize the service and push it to a cloud platform (EKS, GKE, or a private Kubernetes cluster) behind a VPN or zero‑trust gateway for production use.

**Production Readiness**

• **Maturity**: Medium. The codebase is actively maintained (last commit 2026‑05‑12) and has community traction (127 ★, 31 forks), but it lacks formal CI/CD pipelines, extensive test coverage, and a documented security audit.
• **Suitability**: Ideal for prototypes, internal tools, or low‑to‑moderate volume trading bots after a brief hardening phase (dependency updates, static analysis, rate‑limit handling).
• **Risks**: Licensing and long‑term maintainer commitment need verification; security posture must be reviewed (API key handling, network exposure). Once these checks are completed, the server can be promoted to production for controlled, compliance‑checked trading workflows.

Problem

code-rabi/interactive-brokers-mcp helps connect AI assistants to real tools and data through a standard protocol.

Outcome

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

Workflow

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

Evidence

Interactive Brokers MCP Server

Source