workflowstacks
mcp-server

Agentset: AI Research Platform

Get deep research capabilities with agentset., built with TypeScript and.
2,036 stars184 forksTypeScriptGuide quality 8/10Updated 7/16/2026100% free · open source
What it does

Agentset provides deep research capabilities with built-in citations, support for 22+ file formats, and more, making it a powerful tool for startup founders needing advanced research functionalities.

When to use it
  • •When you need to conduct in-depth research across multiple file formats and sources.
  • •When you require automatic citation generation and management for your research.
  • •When you're working with large datasets and need a tool that can handle partitions and complex data structures.
Ready-to-paste prompt
node src/cli/index.ts --help to see the available commands and options for using agentset from the command line.
Heads up: Ensure you have Node.js (and optionally TypeScript) installed on your system, as agentset is built with TypeScript and requires a compatible runtime environment to function correctly.
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/agentset && curl -fsSL https://workflowstacks.com/api/skills/agentset/claude-skill -o ~/.claude/skills/agentset/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How Agentset: AI Research Platform works
Codeflow
Free to inspect

Agentset: AI Research Platform is a large TypeScript project (~40k lines across 668 code files, plus 4 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit 2 months ago, MIT license, has a test suite.

Size
Large codebase
~40k lines · 668 code files · ~6 h to skim
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Node.js
Needs API keys (.env)
TypeScript 99%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    package.json
    Dependencies and the commands it exposes
  3. 3
    .env.example
    The API keys and settings you must provide
What's in each folder
apps/Sub-packages / plugins410 files
packages/Sub-packages / plugins333 files
docs/Documentation112 files
tooling/Folder12 files
internal-docs/Folder1 files
.agents/Tool / agent settings74 files
.cursor/Editor / agent settings13 files
.claude/Editor / agent settings6 files
READMEHas testsDocumentedNo CIMIT licenseUpdated 2 mo ago
Quick Actions
Details
Creator
agentset-ai
Language
TypeScript
Category
mcp-server
Published
3/10/2025

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