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The sparql-llm MCP server was last committed 15d ago and has 5 contributors. Issue health: 33% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

sparql-llm MCP Server

Name: sib-swiss/sparql-llm
Rating: 3.7 (1 reviews)
Author: sib-swiss

sib-swiss/sparql-llm

Score: 68.0 ↑ 1.7% Rank #4483 MCP Server

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🦜✨ Chat system, MCP server, and reusable components to improve LLMs capabilities when generating SPARQL queries

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Overview

sib-swiss/sparql-llm is a Jupyter Notebook MCP server licensed under MIT. 🦜✨ Chat system, MCP server, and reusable components to improve LLMs capabilities when generating SPARQL queries Topics: expasy, llm, sparql, sparql-query-builder, mcp, mcp-server.

Ranked #4483 out of 24846 indexed tools.

Ecosystem

Jupyter Notebook MIT

expasyllmsparqlsparql-query-buildermcpmcp-server

Score Breakdown

Stars 15% 127

127 stars → growing community

Freshness 25% 15d ago

Last commit 15d ago → recently updated

Issue Health 25% 33%

2/6 issues closed → many open issues

Contributors 10% 5

5 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 24

Description Good

License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

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Issue Health high impact

You have 4 open vs 2 closed issues — triaging stale issues improves health

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Details

Stars: 127
Forks: 24
Open Issues: 4
Closed Issues: 2
Contributors: 5
Dependents: —
Language: Jupyter Notebook
License: MIT
Last Commit: 15d ago

Matched Queries

"mcp server""mcp-server"topic:mcptopic:mcp-server

From the README

<div align="center">

# ✨ SPARQL query generation with LLMs 🦜

</div>

This project provides tools to enhance the capabilities of Large Language Models (LLMs) in generating [SPARQL](https://www.w3.org/TR/sparql11-overview/) queries for specific endpoints:

- a complete **chat web service** available at **[expasy.org/chat](https://expasy.org/chat)**
- a **MCP server** exposing tools at **[chat.expasy.org/mcp](https://chat.expasy.org/mcp)**
- **reusable components** published as the **[`sparql-llm`](https://pypi.org/project/sparql-llm/)** pip package

The system integrates Retrieval-Augmented Generation (RAG) and SPARQL query validation through endpoint schemas, to ensure more accurate and relevant query generation on large scale knowledge graphs.

The components are designed to work either independently or as part of a full chat-based system that can be deployed for a set of SPARQL endpoints. It **requires endpoints to include metadata** such as [SPARQL query examples](https://github.c

Read full README on GitHub →