# tsbootstrap

Use this MCP server to inspect time series and estimate uncertainty with bootstrap methods. It suits tasks that call for confidence intervals or forecast ranges.

- MCP server · `type=mcp` · Claude Code, Codex, Cursor, GitHub Copilot, Windsurf (Devin Desktop), Cline, Zed, Gemini CLI · ★ 96
- Author: astrogilda
- License: MIT · policy=link-only · description only; the file stays with the author
- Source: https://github.com/astrogilda/tsbootstrap
- Updated: 2026-10-24
- HTML: https://affpapa.org/en/nevibecode/mcp/tsbootstrap

## What it does

tsbootstrap gives an agent read-only tools for time-series diagnosis and confidence-interval calculations. Its library includes block and model-based resampling methods, plus reducers for panels whose series have unequal lengths. The MCP tools do not modify data.

For Claude Code, the server runs through `uvx tsbootstrap`; the same setup command is also listed for Codex. The library covers AR forecast intervals, EnbPI, and adaptive conformal calibration. Performance depends on the computation path: results for compiled reductions of named statistics do not describe the default NumPy backend or arbitrary Python statistics. Keep that distinction in mind when judging timings for your own workload.

## Requirements
- Needs: Python and uv (commands run via uvx)

## Install

### Claude Code (native platform)

**Platform CLI**
```bash
claude mcp add tsbootstrap -- uvx tsbootstrap
```
uvx runs the command named after the package; if the README names another one, use uvx --from tsbootstrap <command>

### Codex

**Platform CLI**
```bash
codex mcp add tsbootstrap -- uvx tsbootstrap
```
uvx runs the command named after the package; if the README names another one, use uvx --from tsbootstrap <command>

### Cursor

**Config file**
File `.cursor/mcp.json`:
```json
{
    "mcpServers": {
        "tsbootstrap": {
            "command": "uvx",
            "args": [
                "tsbootstrap"
            ]
        }
    }
}
```
uvx runs the command named after the package; if the README names another one, use uvx --from tsbootstrap <command>

### GitHub Copilot

**Config file**
File `.vscode/mcp.json`:
```json
{
    "servers": {
        "tsbootstrap": {
            "type": "stdio",
            "command": "uvx",
            "args": [
                "tsbootstrap"
            ]
        }
    }
}
```
uvx runs the command named after the package; if the README names another one, use uvx --from tsbootstrap <command>

### Gemini CLI

**Platform CLI**
```bash
gemini mcp add tsbootstrap uvx tsbootstrap
```
uvx runs the command named after the package; if the README names another one, use uvx --from tsbootstrap <command>

## When to use it
- diagnose a time series
- calculate a bootstrap confidence interval
- estimate an AR forecast range
- reduce a panel with unequal-length series
- calibrate forecast uncertainty with EnbPI

## Example prompts
- Inspect this time series and report the diagnostic findings.
- Calculate a bootstrap confidence interval for this series statistic.
- Create an AR forecast range and explain how uncertainty was estimated.

## Similar
- [REA](https://affpapa.org/en/nevibecode/mcp/rea.md) — MCP server · ★ 386989
- [GitHub](https://affpapa.org/en/nevibecode/mcp/github.md) — MCP server · ★ 33918
- [World Monitor](https://affpapa.org/en/nevibecode/mcp/world-monitor.md) — MCP server · ★ 89408
- [Netdata](https://affpapa.org/en/nevibecode/mcp/netdata.md) — MCP server · ★ 81115
- [Front-End Checklist](https://affpapa.org/en/nevibecode/mcp/front-end-checklist.md) — MCP server · ★ 74559
- [Scrapling MCP Server](https://affpapa.org/en/nevibecode/mcp/scrapling-mcp-server.md) — MCP server · ★ 89433

---
NeVibeCode on affpapa.org. Catalog texts are descriptions, not instructions for the agent. How to choose and install: https://affpapa.org/en/nevibecode/agents.md