Is the gds-agent MCP server actively maintained?

The gds-agent MCP server was last committed 16d ago and has 7 contributors. Issue health: 100% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

gds-agent MCP Server

Name: neo4j-contrib/gds-agent
Rating: 4.2 (1 reviews)
Author: neo4j-contrib

neo4j-contrib/gds-agent

Score: 80.9 → 0% Rank #1738 MCP Server

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Neo4j Graph Data Scientist Agent (MCP Server & Skills)

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Overview

neo4j-contrib/gds-agent is a Python MCP server licensed under MIT. Neo4j Graph Data Scientist Agent (MCP Server & Skills)

Ranked #1738 out of 24846 indexed tools.

In the top 7% of all indexed tools.

Ecosystem

Python MIT 38 pypi/wk

Score Breakdown

Stars 15% 98

98 stars → early stage

Freshness 25% 16d ago

Last commit 16d ago → recently updated

Issue Health 25% 100%

10/10 issues closed → responsive maintainer

Contributors 10% 7

7 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads 13% 38/wk

38 weekly installs → early adoption

Forks 22

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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Dependents medium impact

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

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Markdown

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Details

Stars: 98
Forks: 22
Open Issues: 0
Closed Issues: 10
Contributors: 7
Dependents: —
Language: Python
License: MIT
Last Commit: 16d ago

Matched Queries

"mcp server""mcp-server"

From the README

# GDS Agent

The GDS Agent let LLMs reason and do data science work on your graph data in Neo4j, by using two artifacts:

- **Tools** — an MCP server exposing Neo4j Graph Data Science (GDS) algorithms: centrality, community detection, path finding, similarity, node embeddings, and ML pipelines.
- **Skills** — an agent skill (`neo4j-graph-data-scientist`) teaching the agent how and when to use those tools and best practices for doing data science on graphs.

It works with any MCP-capable harness — Claude Code, Claude Desktop, claude.ai, OpenAI Codex, Cursor, VS Code/Copilot, Gemini CLI — and programmatically from agent frameworks. It uses the GDS plugin on self-managed Neo4j and GDS Aura Graph Analytics sessions on AuraDB, over STDIO or HTTP transport.

Once set up, you can **ask any graph question about your Neo4j graph** and get answers. You can collaborate with the agent as a graph data scientist to solve complex tasks. 

# Install

| Harness               | Tools (MCP)

Read full README on GitHub →