Compatible with every major AI agent and IDE
What is the Statistics Engine MCP Server?
Large Language Models often struggle with complex statistical aggregations and dataset analysis, leading to subtle analytical errors. The Statistics Engine MCP Server eliminates this risk by equipping your autonomous agents with a highly optimized, local JavaScript computational core.
The Superpowers
- Flawless Data Analysis: Calculate mean, median, mode, standard deviations, and percentiles with 100% mathematical certainty.
- Absolute Data Privacy: Your sensitive business metrics, financial datasets, or user telemetry never leave your local infrastructure. Zero API calls.
- Zero Latency Engine: Process data arrays instantaneously within the local environment without network overhead.
Stop trusting LLMs to do math on arrays. Equip your agent with a real, deterministic statistical engine.
Built-in capabilities (5)
Calculates the mathematical mean (average) of a dataset
Calculates the median (middle value) of a dataset
It returns an array of numbers. Calculates the mode (most frequent value) of a dataset
Calculates the k-th percentile of a dataset
Calculates the population standard deviation of a dataset
Why AutoGen?
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Statistics Engine tools. Connect 5 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Statistics Engine tools to solve complex tasks
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Role-based architecture lets you assign Statistics Engine tool access to specific agents. a data analyst queries while a reviewer validates
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Human-in-the-loop support: agents can pause for human approval before executing sensitive Statistics Engine tool calls
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Code execution sandbox: AutoGen agents can write and run code that processes Statistics Engine tool responses in an isolated environment
Statistics Engine in AutoGen
Statistics Engine and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Statistics Engine to AutoGen through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Statistics Engine in AutoGen
The Statistics Engine 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. All 5 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in AutoGen only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
Statistics Engine for AutoGen
Every tool call from AutoGen to the Statistics Engine MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Why use this instead of asking the AI to analyze the dataset directly?
AIs hallucinate complex data calculations because they generate text, not numbers. This MCP provides the AI with a deterministic tool, forcing it to offload the actual number-crunching to a strict JavaScript engine.
Is my data sent to any external service?
No. The entire engine runs completely local in your local environment. It is "Privacy First" by design, requiring no external APIs or network access.
How does the percentile calculation work?
The tool sorts your dataset and uses a robust interpolation method to find the exact boundary value below which a given percentage of observations fall. Perfect for p95 or p99 SLA reporting.
How does AutoGen connect to MCP servers?
Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Statistics Engine tools during their conversation turns.
Can different agents have different MCP tool access?
Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.
Does AutoGen support human approval for tool calls?
Yes. Configure human-in-the-loop mode so agents pause and request approval before executing sensitive MCP tool calls.
McpWorkbench not found
Install: pip install "autogen-ext[mcp]"
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