Case Chronology MCP Server

The Case Chronology MCP Server is a specialized tool designed to help legal professionals, investigators, and compliance teams construct, maintain, and interrogate detailed timelines of case events. In environments where the sequence of actions, communications, or filings can determine liability, strategy, or settlement terms, having an accurate and searchable chronology is essential. This server addresses the challenge of manually collating dates from disparate documents, emails, and notes by automating date extraction and event organization.

At its core, the server accepts natural‑language commands that describe events—complete with dates, parties involved, tags, and optional significance notes—and stores them in a structured timeline. Smart date parsing allows the system to understand a wide range of formats, from precise dates like “March 15, 2023” to vague references such as “late Q2 2024.” Document parsing capabilities enable users to paste entire emails or PDFs, and the server will automatically harvest all relevant dates and events, reducing the risk of human error. Once populated, users can query the timeline by date range, keyword, party, or tag, making it easy to surface specific moments in a complex case.

The server’s export features are particularly valuable for collaboration and reporting. Timelines can be rendered as Markdown, CSV, concise text summaries, or JSON, allowing seamless integration with case management systems, court filings, or internal dashboards. For example, a lawyer can quickly generate a Markdown timeline to include in a brief, or export CSV data for statistical analysis of litigation patterns.

Integration into AI workflows is straightforward: the MCP exposes a set of resources and tools that Claude or other assistants can invoke directly. An assistant might ask the server to “add an event: January 15, 2024 – Contract signed between ABC Corp and XYZ LLC” or “parse this email and add events.” Because the server follows the MCP specification, it can be chained with other tools—such as document summarizers or legal research APIs—to build end‑to‑end automated case preparation pipelines.

Unique advantages of this MCP server include its focus on legal timelines, the breadth of date parsing, and the ability to index by parties or documents for rapid look‑ups. For developers building AI‑augmented legal tech, this server provides a ready‑made, standards‑compliant component that turns unstructured textual data into an actionable, searchable chronology—dramatically reducing manual effort and improving the reliability of case analysis.