MCP Acronym Lookup

The MCP Acronym Lookup server addresses a common bottleneck in AI‑driven knowledge bases: the ability to translate terse abbreviations into full, human‑readable explanations on demand. In many domains—software engineering, networking, medicine, and corporate communication—abbreviations such as API, NLP, or FYI are ubiquitous. When an AI assistant encounters these terms, it often lacks a reliable source to expand them accurately, leading to vague or incorrect responses. This MCP server solves that problem by exposing a single, lightweight lookup tool that resolves any acronym or initialism from a user‑supplied CSV file into its full form and description, enabling assistants to provide precise, context‑aware answers.

At its core, the server ingests a UTF‑8 CSV containing three columns: , , and . Once configured, the tool accepts a query string and returns all matching definitions in JSON. The lookup is case‑insensitive, strips non‑alphabetic characters from the input, and supports multiple definitions per key—making it robust against ambiguous or evolving terminology. Developers can run the server in standard I/O mode (the MCP default) or deploy it as a streamable HTTP endpoint, giving them flexibility to integrate the service into existing toolchains or expose it as a cloud‑hosted API.

Key capabilities include:

• Configuration‑driven data ingestion: Simply point the environment variable to any compliant CSV; no code changes are required.
• Fast, deterministic lookups: The server loads the entire dataset into memory at startup, ensuring sub‑millisecond response times for typical acronym sets.
• JSON output: The returned payload contains an array of objects, each with , , and fields, allowing downstream agents to parse and display the information cleanly.
• Extensible transport: By supporting both stdio and HTTP, the server can be embedded in local development workflows or exposed as a public microservice.

Typical use cases include:

• Developer assistants that need to clarify stack‑related abbreviations when generating documentation or answering code review questions.
• Customer support bots that must interpret industry jargon in user tickets and provide accurate explanations to agents.
• Educational tools where learners encounter unfamiliar acronyms in technical texts and require instant clarification.
• Compliance systems that translate abbreviations in policy documents into full legal language for audit purposes.

Integration with AI workflows is straightforward: an MCP‑enabled assistant sends a request to the lookup tool via the standard invocation syntax. The server responds with structured JSON, which the assistant can then embed in its output or use to refine subsequent queries. Because the server operates as a pure MCP component, it fits seamlessly into any chain of tools—whether chained locally or orchestrated through a cloud‑based workflow engine.

In summary, the MCP Acronym Lookup server turns arbitrary acronym datasets into a ready‑to‑use, high‑performance lookup service. Its simplicity, configurability, and compliance with MCP transport standards make it a valuable addition to any AI assistant that needs reliable acronym resolution without maintaining its own internal dictionary.