Curve Fitting Engine MCP Server with 1 Tools for Claude, Cursor, and AI Agents
Perform exact Linear and Polynomial regression on scatter plot data local. Get mathematically perfect coefficients, equations, and R-squared scores. Vinkius routes your AI agents directly to Curve Fitting Engine through a governed connection. 1 tools ready to use with Claude, ChatGPT, Cursor, or any AI agent — no hosting, no setup, connect in 30 seconds.
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Compatible with every major AI agent and IDE

* 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
What is the ml-regression MCP Server?
The ml-regression MCP Server routes AI agents like Claude, ChatGPT, and Cursor directly to ml-regression via 1 tools. Perform exact Linear and Polynomial regression on scatter plot data local. Get mathematically perfect coefficients, equations, and R-squared scores. Powered by Vinkius — your credentials stay on your side of the connection, every request is auditable. Connect in under 2 minutes.
Built-in capabilities (1)
Tools for your AI Agents to operate ml-regression
Ask your AI agent "Fit a linear regression to this sales data and give me the exact slope and intercept." and get the answer without opening a single dashboard. With 1 tools connected to real ml-regression data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by Vinkius — your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you the infrastructure to connect your AI agents to thousands of MCP servers — and deploy your own to the Vinkius Edge. Your credentials stay yours. Your data flows directly between your agent and the API. DLP blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade routing and governance, zero maintenance.
Build your own MCP Server with our secure development framework →The Curve Fitting Engine App Connector works with every AI agent you already use
…and any MCP-compatible client


















Use all 1 Curve Fitting Engine tools with your AI agents right now
Vinkius routes your AI agents to Curve Fitting Engine through a governed proxy. Beyond a simple connection, you get full visibility into every action your agents perform, with enterprise-grade security and up to 60% savings on AI costs.
Calculate regression on Curve Fitting Engine
Perform exact deterministic curve fitting (Linear, Polynomial) on scatter plot data
What the Curve Fitting Engine MCP Server unlocks
LLMs can explain the concept of a line of best fit, but when they try to calculate actual slopes, intercepts, and R² scores on real data, they hallucinate wildly.
This MCP delegates regression logic to ml-regression locally. Provide the AI with arrays of X and Y coordinates, and the engine computes the mathematically flawless linear or polynomial equation. You get precise coefficients and a guaranteed R-squared accuracy score — all without touching a cloud API.
The Superpowers
- Zero Hallucination: Exact regression math performed locally by your CPU.
- Polynomial Precision: Fit multi-degree curves (quadratic, cubic, or higher) effortlessly.
- Automated R² Scoring: Generates the exact R-squared metric to validate model quality.
- Data Privacy: Your experimental and business data stays entirely local.
Frequently asked questions about the Curve Fitting Engine MCP Server
Does it calculate R-squared automatically?
Yes. Every regression model automatically returns the exact R-squared score. Values closer to 1.0 indicate a better fit, and the AI interprets this context for you.
Can I specify the polynomial degree?
Yes! When choosing the 'polynomial' type, specify any degree (2 for quadratic, 3 for cubic, etc.) and the engine computes all coefficients with exact precision.
Do the X and Y arrays need to be sorted?
No. The internal ML engine matches X[i] to Y[i] regardless of the order. The regression computation is independent of how the data is sorted.
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We built the connector to Curve Fitting Engine. Now put your agents to work. Fully governed.
Vinkius is the AI Gateway with managed hosting. Stop building connectors. Every connection runs inside eight layers of security.
Hosted, sandboxed, and live on AWS. You don't provision anything. You don't maintain anything. You connect.
Every tool call, every token, every response. Logged and auditable. Data flows direct from Curve Fitting Engine to your agent. Nothing is stored on our side. Ever.
Eight governance layers on every request. Sensitive data redacted before it reaches the model. Kill switch if anything goes sideways. Always on.
