Business Request MCP Server

Business Request Server – MCP PoC

The Business Request Server is a lightweight proof‑of‑concept MCP implementation that demonstrates how an AI assistant can query and manipulate business‑level data stored in a relational database. By exposing a set of callable tools—such as template rendering, business‑request search, and result filtering—it enables developers to prototype end‑to‑end workflows where an assistant can retrieve, transform, and present domain data without leaving the conversation. This solves a common pain point: developers need a quick, reproducible way to expose complex business logic to an AI without building custom APIs or writing boilerplate integration code.

At its core, the server offers three primary capabilities that are valuable for AI‑driven applications:

• Template rendering – Allows an assistant to populate predefined business templates with dynamic values, streamlining the creation of standard documents or reports.
• Search_business_requests – Provides a structured query interface to filter business requests by arbitrary attributes (e.g., short title, status). The tool accepts JSON payloads that mirror typical database filter syntax, making it intuitive for developers familiar with SQL‑style queries.
• Filter_results – Enables post‑query filtering on result columns, supporting operators like , and custom logic. This two‑step approach (search then filter) keeps payloads small and lets the assistant refine results interactively.

These tools are wrapped in a standard MCP server that supports OAuth 2.0 authentication, making it straightforward to secure access for production deployments. The server can be run locally or containerised via Docker, and includes guidance for handling platform‑specific dependencies such as on macOS. Because it follows the FastMCP specification, developers can integrate it with any MCP‑compatible SDK (e.g., the Python SDK) and leverage existing tooling for testing, monitoring, and scaling.

Real‑world scenarios that benefit from this server include:

• Enterprise resource planning (ERP) assistants – Quickly fetch and populate procurement or sales templates based on live data.
• Customer support bots – Search for pending business requests and filter by customer or status to provide instant answers.
• Compliance monitoring – Pull regulatory request records and apply custom filters to surface potential violations.

By abstracting the data layer behind a simple, declarative API, the Business Request Server lets AI assistants act as powerful front‑ends to complex business processes. Its modular design, clear JSON contracts, and compatibility with standard MCP tooling make it an attractive starting point for developers who want to embed intelligent data access into conversational agents.