Research & Learning Stack

Curated collection of 84+ gold-standard scientific discovery engines, AI agent superchargers, and cognitive sandboxes.

62 research tools

Daily Research Command Center

Structure today's scientific inquiries, maintain deep work streaks, and discover daily research methodologies.

Today's Primary Research Directive

Deep Work Focus Block

Research Habit Matrix

Daily study sessions logged across the past 90 days

5 Day Streak 🔥

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Daily Research Engines

🎧 Ambient Study Audio

Procedural soundscapes for deep focus

🔈 🔊

Research Workbench & Synthesis Studio

Synthesize insights into persistent Markdown notes, format multi-style academic citations, and track empirical hypotheses.

Instant Multi-Style Citation Generator

Generate clean citations in APA 7th, MLA 9th, Chicago, or BibTeX

Formatted Output

Hypotheses & Empirical Evidence Tracker

Formulate working research conjectures and catalog whether papers provide supporting or contrasting findings.

Academic Boolean Query Builder

Construct precision search syntax with operators, author constraints, and domain limits to extract high-yield results from Google Scholar, PubMed, and arXiv.

All of these words (AND)

This exact word or phrase

At least one of these words (OR)

Without these words (NOT)

Author Name

Publication Year Range

Domain Restriction

PDF Documents Only (`filetype:pdf`)

Constructed Academic Query String

neural network reasoning "chain-of-thought"

Direct Launch:

Custom Tools & Data Portability

Integrate personal lab portals, university repositories, and export your entire research dossier with zero lock-in.

Add Custom Research Tool / Bookmark

Stash your institution's proxy catalog, internal knowledge hubs, or favorite databases.

Complete Data Portability

Your research stays entirely yours. Download complete JSON backups or clean Markdown dossiers anytime.

Restore from JSON Backup:

My Custom Additions

🔌 Model Context Protocol (MCP) Studio 2.0

Universal AI Standard Gemini • Claude • Cursor

Select top-tier MCP servers to generate instant, battle-tested configuration files for Google Antigravity & Gemini CLI, Claude Desktop, and Cursor.

Recommended 1-Click Presets:

Curated Server Matrix: 7 servers active

Destination: ~/.gemini/config/mcp_config.json

📖 Model Context Protocol (MCP) Architecture & Core Primitives Explained ▼

1. What is MCP?

An open standard pioneered by Anthropic that standardizes how AI models interface with external data sources, developer tools, and operational environments. It eliminates custom API glue code through universal JSON-RPC 2.0 communication.

2. Three Protocol Primitives

Tools: Model-executable functions with JSON schema validations.
Resources: File-like context reads (documents, database rows, logs).
Prompts: Reusable workflow templates surfaced directly to users.

3. Stdio vs. SSE Transports

Stdio (Standard I/O): Local child-processes communicating via stdin/stdout with near-zero latency.
SSE (Server-Sent Events): Remote microservices and team-shared tool clusters over secure HTTPS.

4. How Gemini Executes MCP

Gemini and Antigravity dynamically introspect the mcpServers dictionary in mcp_config.json at startup, mapping tool schemas into Gemini's tool-calling space with automatic safety sandboxes.