Neptune.ai (ML Experiment Tracking) MCP Server for Windsurf 6 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Neptune.ai (ML Experiment Tracking) through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
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{
"mcpServers": {
"neptuneai-ml-experiment-tracking": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Neptune.ai (ML Experiment Tracking) MCP Server
Connect your Neptune.ai account to any AI agent and take full control of your machine learning experimentation, model versioning, and training telemetry through natural conversation.
Windsurf's Cascade agent chains multiple Neptune.ai (ML Experiment Tracking) tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 6 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
What you can do
- Experiment Orchestration — List all managed ML projects and retrieve detailed metadata configurations tracking active runs and workspace boundaries directly from your agent
- Run Audit & Search — Discover specific training runs or historical experiment state checkpoints mapping deep ML parameter sets and performance bounds securely
- Attribute Inspection — Extract detailed telemetry capturing the exact variables, accuracy metrics, and loss curves logged during specific execution checkpoints natively
- Model Registry Management — List and retrieve trained tracking models promoted and logged explicitly, isolating stable versions from ephemeral experimentation runs
- Organizational Visibility — Enumerate accessible workspaces and projects to understand your ML research footprint and documentation distribution natively
- Credential Audit — Verify specific user identifies and availability details bound inherently against your active service account token securely
- Metadata Retrieval — Deep-dive into specific Project or Run IDs to retrieve precise JSON representations and chronological experimentation insights instantly
The Neptune.ai (ML Experiment Tracking) MCP Server exposes 6 tools through the Vinkius. Connect it to Windsurf in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Neptune.ai (ML Experiment Tracking) to Windsurf via MCP
Follow these steps to integrate the Neptune.ai (ML Experiment Tracking) MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using Neptune.ai (ML Experiment Tracking)
Open Cascade and ask: "Using Neptune.ai (ML Experiment Tracking), help me...". 6 tools available
Why Use Windsurf with the Neptune.ai (ML Experiment Tracking) MCP Server
Windsurf provides unique advantages when paired with Neptune.ai (ML Experiment Tracking) through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 6 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Neptune.ai (ML Experiment Tracking) + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Neptune.ai (ML Experiment Tracking) MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Neptune.ai (ML Experiment Tracking) and generate models, types, or handlers based on real API responses
Live debugging: query Neptune.ai (ML Experiment Tracking) tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Neptune.ai (ML Experiment Tracking) and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Neptune.ai (ML Experiment Tracking) data with Cascade's code generation to scaffold entire features in minutes
Neptune.ai (ML Experiment Tracking) MCP Tools for Windsurf (6)
These 6 tools become available when you connect Neptune.ai (ML Experiment Tracking) to Windsurf via MCP:
get_attributes
Get parameters mapped within an experiment runtime bounds
get_project
Get specific details for a targeted Neptune ML project
get_user
Get specific user credentials and availability details
list_models
List trained tracking models packaged natively within a project
list_projects
List accessible Neptune workspaces and projects
search_runs
Search explicitly tracked ML experimentation runs inside a project
Example Prompts for Neptune.ai (ML Experiment Tracking) in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with Neptune.ai (ML Experiment Tracking) immediately.
"List all training runs for the 'Customer-Churn' project"
"Show me the metrics for run ID 'churn-exp-123'"
"List all registered models in project 'Fraud-Detection'"
Troubleshooting Neptune.ai (ML Experiment Tracking) MCP Server with Windsurf
Common issues when connecting Neptune.ai (ML Experiment Tracking) to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Neptune.ai (ML Experiment Tracking) + Windsurf FAQ
Common questions about integrating Neptune.ai (ML Experiment Tracking) MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect Neptune.ai (ML Experiment Tracking) with your favorite client
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Connect Neptune.ai (ML Experiment Tracking) to Windsurf
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.