Boikot MCP Server

Overview

The Boikot MCP server delivers a single, focused capability: lookup_company_information. It exposes an open‑access endpoint () that accepts a company name and returns a structured summary of that company's ethical record. By leveraging the community‑curated dataset, the server turns raw corporate data into a ready‑to‑use tool for AI assistants, enabling them to answer questions about business practices without needing direct database access or complex queries.

This service solves a common pain point for developers building responsible‑AI applications: accessing up‑to‑date, verifiable information about corporate behavior. Rather than scrapping websites or maintaining proprietary datasets, developers can rely on Boikot’s pre‑validated records. The server handles the heavy lifting of parsing the JSON, matching company names (including aliases), and formatting the result as a concise, machine‑readable payload. This removes boilerplate code from client applications and guarantees consistency across different AI assistants.

Key features of the Boikot MCP server include:

• No‑auth public endpoint: Developers can integrate the tool immediately without handling credentials or rate limits, making it ideal for prototyping and low‑traffic use cases.
• Structured response: The tool returns the company’s primary name, a short ethical comment, tags that classify behavior (e.g., “environmental”, “labor”), and source URLs for fact‑checking. This aligns with common data contracts in MCP.
• Alias resolution: The server automatically considers all names listed under a company’s array, ensuring that queries for “Apple”, “AAPL”, or “Apple Inc.” all resolve to the same record.
• Timestamp awareness: Each record includes an field, allowing clients to detect stale data and refresh when necessary.

Typical use cases demonstrate the server’s value in real‑world scenarios:

• Consumer‑facing assistants can answer questions like “Is Nike ethically sound?” by invoking the lookup tool and presenting a quick summary with source links.
• Corporate compliance tools can embed the server to audit suppliers or partners against Boikot’s ethics criteria.
• Educational platforms may use the API to teach students about corporate accountability, providing concrete examples without manual research.

Integration into an AI workflow is straightforward: a client invokes the MCP endpoint, receives JSON with the company’s ethical profile, and feeds that into downstream prompts or decision‑making logic. Because the server handles name matching and source mapping, developers can focus on higher‑level reasoning rather than data wrangling.

Boikot’s standout advantage lies in its community‑driven transparency. The dataset is freely available under GPL v3, encouraging external contributions and peer review. This openness ensures that the information remains current and trustworthy—a critical factor when AI assistants are used to inform sensitive consumer or business decisions.