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  3. Agentset
MCP server · AI

Agentset

The open-source RAG platform: built-in citations, deep research, 22+ file formats, partitions, MCP server, and more.

Unclaimed MIT last commit 6 months ago ai-agentsai-sdkllmsagentic-raggenaiaiembeddingschatbots
92Excellent

Scored 3 months ago · breakdown

About Agentset

Agentset is an MCP server published by agentset-ai in the AI category: the open-source RAG platform: built-in citations, deep research, 22+ file formats, partitions, MCP server, and more. It has been installed 0 times through Conduid.

The repository has 1.9K stars and 166 forks, with the last commit 6 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues (0) before depending on it in production.

Install

Install
npx agentset

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Ask AI

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Security checks

  • ·README presentNot checked yet.
  • ·License declaredNot checked yet.
  • ·Tests presentNot checked yet.
  • ·Dependencies pinnedNot checked yet.
  • ·No dynamic code executionNot checked yet.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

README

Features

  • Turnkey RAG: ingestion, chunking, embeddings, and retrieval
  • Model agnostic: works with your choice of LLM, embeddings, and vector DB
  • Chat playground with message editing and citations
  • Production hosting with preview links and custom domains
  • API + typed SDKs, OpenAPI spec
  • Built-in multi-tenancy
  • Built with TypeScript, Next.js, AI SDK, Prisma, Supabase, and Trigger.dev

Getting Started

Agentset Cloud

The fastest way to get started with Agentset. Generous free tier with 1,000 pages and 10,000 retrievals. No credit card required.

Self-host Agentset

Follow our complete guide: https://docs.agentset.ai/open-source/prerequisites

Quick Start (Local Development)

# 1) Copy env and fill required values
cp .env.example .env

# 2) Install dependencies
bun install

# 3) Run database migrations (from the repo root)
bun db:deploy

# 4) Start the app
bun dev:web

Useful scripts:

  • bun db:studio – open Prisma Studio
  • bun dev:web – run only the web app

Star Us

If you find Agentset useful, please give the repo a star — it helps a lot!

Contributing

We <3 contributions big and small. Feel free to:

  • Open an issue for bugs and feature ideas
  • Submit a PR with focused changes
  • Improve docs or examples

Not sure where to start? Check existing issues: https://github.com/agentset-ai/agentset/issues

License

MIT :)


Made with ❤️ by the Agentset team.

README mirrored from the source repository 3 months ago. The original is authoritative.

Questions

About Agentset

How do I install Agentset?

Run npx agentset, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is Agentset safe to use with an AI agent?

Its trust score is 92 out of 100 (excellent). It passes 0 of 1 static security checks; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Agentset still maintained?

The last commit was 6 months ago, with 0 open issues. That's long enough that you should check whether the maintainer is responding to issues before depending on it.