Alternatives to Dingo

An MCP server to convert almost any file or web content into Markdown

Model Context Protocol (MCP) Server for Jupyter.

Deterministic batch tools so LLM agents stop next-token-guessing dates and math. Rich now() snapshot (18 fields), calendar(ops) batch dispatcher (diff/until/since/add/weekday/businessdays, natural-language parsing), calc(expressions) Python eval with math+stats pre-loaded, and Pint-based unit conversion. One wiring for dates + math + units. Listed in the official MCP Server Registry. uvx gnomon-mcp.

Predict anything with Chronulus AI forecasting and prediction agents.

Connects to Kaggle, ability to download and analyze datasets.

Decision intelligence MCP server with 19 algorithms (bandits, Monte Carlo, constraint optimization, forecasting, anomaly detection, risk analysis, graph algorithms), 28 MCP tools. Install via npx -y @oraclaw/mcp-server.

Airtight math for agents: 3.7M-theorem search, PSLQ constant ID, OEIS, real Lean kernel checks, applicability checklists. No LLM inside, no API key.

Real-time LLM/VLM model comparison with benchmarks, pricing, and personalized recommendations from 5 data sources. No API key required.

Compares approximate filter data structures (Bloom, Counting Bloom, Cuckoo, SuRF) via MCP

Unit conversion and dimensional analysis backed by the bundled GNU units database (3000+ units, compound expressions, reduction to SI base units). Offline and deterministic. uvx mcp-gnu-units.

Tools for creating and interacting with GrowthBook feature flags and experiments.

connects Jupyter Notebook to Claude AI, allowing Claude to directly interact with and control Jupyter Notebooks.