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Rdf

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MCP server to query RDF datastores

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About

MCP server to query RDF datastores

README

Spring Boot MCP server that executes SPARQL queries against RDF backends.

Requirements

Quick Start

mise trust
mise install
run

[!TIP] For task/flag autocompletion, enable mise shell completion and install usage (docs: https://mise.jdx.dev/cli/completion.html and https://usage.jdx.dev/cli/completions).

Tasks

List all available tasks with:

mise tasks

Examples:

mise build --clean --profile native native:compile
mise build --clean --profile native --native-image-name sparql-mcp-linux-x86_64 native:compile

Shell Aliases

After activating mise in your shell you can use these aliases:

  • build -> mise run build
  • run -> mise run build spring-boot:run
  • build-test -> mise run build test
  • build-package -> mise run build package
  • build-native -> mise run build --profile native native:compile
  • build-native-image -> mise run build --profile native spring-boot:build-image
  • build-native-test -> mise run build --profile nativeTest test
  • release -> mise run release

Versioning

This repository uses maven-git-versioning-extension (.mvn/extensions.xml).

  • pom.xml keeps a base version (0.0.0-SNAPSHOT)
  • effective build version is derived from git refs/tags
  • release tags follow v<semver> (for example v0.1.0)

Release

Releases are currently triggered by:

mise release --push

Artifacts and publication are then handled by GitHub Actions + JReleaser:

  • workflow: .github/workflows/release.yml
  • platform builds: .github/workflows/reusable-assemble.yml
  • distribution model: BINARY in jreleaser.yml

Artifacts are produced per platform with unique names, then attached to the GitHub release. The assemble workflow publishes Linux container images to temporary registry tags and records their digests. The final release job promotes those digests to:

  • ghcr.io/kludgeworks/sparql-mcp:<version> (Linux multi-arch manifest for amd64 and arm64)
  • ghcr.io/kludgeworks/sparql-mcp:<version>-linux-amd64
  • ghcr.io/kludgeworks/sparql-mcp:<version>-linux-arm64

Notes

  • Default transport is MCP over STDIO (see application.yml).
  • Runtime logs should not be written to STDOUT when used as an MCP stdio server.

from github.com/kludgeworks/mcp-server-rdf

Installing Rdf

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/kludgeworks/mcp-server-rdf

FAQ

Is Rdf MCP free?

Yes, Rdf MCP is free — one-click install via Unyly at no cost.

Does Rdf need an API key?

No, Rdf runs without API keys or environment variables.

Is Rdf hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install Rdf in Claude Desktop, Claude Code or Cursor?

Open Rdf on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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