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
miseshell completion and installusage(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 buildrun->mise run build spring-boot:runbuild-test->mise run build testbuild-package->mise run build packagebuild-native->mise run build --profile native native:compilebuild-native-image->mise run build --profile native spring-boot:build-imagebuild-native-test->mise run build --profile nativeTest testrelease->mise run release
Versioning
This repository uses maven-git-versioning-extension (.mvn/extensions.xml).
pom.xmlkeeps a base version (0.0.0-SNAPSHOT)- effective build version is derived from git refs/tags
- release tags follow
v<semver>(for examplev0.1.0)
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:
BINARYinjreleaser.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-amd64ghcr.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.
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-rdfFAQ
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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