Clojars Dependency MCP Server

The Bigsy Clojars MCP Server fills a niche that many Clojure developers encounter when managing project dependencies: the need for quick, reliable access to artifact metadata without leaving their AI‑powered workflow. By exposing a minimal set of tools that query the Clojars repository, it lets Claude (or any MCP‑compatible assistant) retrieve up‑to‑date version information instantly. This eliminates the tedious cycle of manually visiting the Clojars website, searching for a group/artifact pair, and copying version numbers into or .

At its core, the server offers two focused capabilities. The first tool fetches the most recent release of any Clojars dependency, while the second verifies whether a specific version exists. Both tools expect simple string inputs formatted as and, for the second tool, an additional version string. The responses are deliberately concise, returning only the requested data so that Claude can embed it directly into explanations or code snippets. Because the tool names and descriptions are explicit, Claude can automatically match user queries about dependency versions to these tools, streamlining the interaction and reducing cognitive load for developers.

Developers benefit from this tight integration in several real‑world scenarios. When drafting a new microservice, a team member can ask Claude to “give me the latest version of ,” and the assistant will return the exact Maven coordinates to copy into a build file. In continuous‑integration pipelines, scripts can invoke the MCP server via to validate that a requested dependency version is still available before attempting a build. During code reviews, reviewers can quickly confirm that a dependency update is legitimate by querying the server directly from the review interface. In all cases, the server acts as a single source of truth for Clojars metadata, reducing errors that arise from stale or mistyped version numbers.

What sets this MCP server apart is its simplicity coupled with tight focus. Unlike generic package‑lookup services, it speaks only the language of Clojars and adheres strictly to the Maven artifact format. This specialization ensures that Claude’s inference engine can reliably identify when these tools are appropriate, minimizing false positives and maximizing relevance. Additionally, the server’s lightweight implementation means it can run locally or be deployed behind a firewall without exposing sensitive data, making it suitable for enterprise environments that require strict network controls.

In summary, the Bigsy Clojars MCP Server empowers AI assistants to become true dependency‑management partners. By providing instant, accurate access to Clojars metadata within the same conversational context that developers use for coding guidance, it streamlines workflows, reduces manual lookup effort, and promotes consistency across projects.