What is Agentset MCP Server and what does it do?

Agentset MCP is an MCP server that exposes an existing Agentset namespace's RAG (Retrieval-Augmented Generation) retrieval capability as MCP tools inside a compatible client, allowing AI assistants to query indexed documents without calling Agentset's REST API directly.

Do I need an existing Agentset account to use this?

Yes, you need an existing Agentset account with a namespace that already has indexed documents. This server only exposes an existing namespace's RAG capability and is not a document ingestion or indexing tool itself.

How do I install and run Agentset MCP Server?

Run it directly with npx, yarn dlx, or pnpm dlx by passing your API key as an environment variable and namespace id as a flag, for example: `AGENTSET_API_KEY=your-api-key npx @agentset/mcp --ns your-namespace-id`.

What configuration options are available?

The server accepts a namespace id via the `--ns` flag or `AGENTSET_NAMESPACE_ID` environment variable, authenticates via `AGENTSET_API_KEY`, and supports a custom tool description via the `-d` flag and tenant id via the `-t` flag for multi-tenant deployments.

MCP Connector

Connect RAG knowledge base to Agentset platform

Name: Agentset MCP Server
Availability: OnlineOnly
Author: Agentset

Agentset MCP server exposes an Agentset RAG namespace's document retrieval capability as MCP tools for AI assistants.

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Updated Jun 2025

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Source checked Sep 15, 2026

Version 1.3.0

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Why it matters

Enable retrieval-augmented generation by connecting your knowledge base to the Agentset platform, allowing AI agents to query and retrieve relevant information from indexed documents and data sources.

Outcomes

What it gets done

Index documents and data into a searchable knowledge base

Retrieve relevant context from stored knowledge for AI queries

Connect knowledge base operations to Agentset workflows

Enable semantic search across your organization's information

Install

Add it to your toolbox

Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/vb-agentset | bash

After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.

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Agent outcome reports

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Overview

Agentset MCP Server

An MCP server that exposes an Agentset RAG namespace's document retrieval as MCP tools. It authenticates via an API key and namespace id, and supports optional tenant and custom tool-description flags. Use it when you already have documents indexed in an Agentset namespace and want to query them from an MCP-compatible AI assistant.

What it does

Agentset MCP is an MCP server for Agentset, an open-source Retrieval-Augmented Generation (RAG) platform built for developers who want to build document-based, intelligent applications quickly. Running it via npx, yarn dlx, or pnpm dlx exposes an existing Agentset namespace's RAG retrieval capability as MCP tools inside a compatible client.

When to use - and when NOT to

Use it when you already have an Agentset account and a namespace with indexed documents, and you want an AI assistant to query that namespace through MCP rather than calling Agentset's REST API directly. It is not a document ingestion or indexing tool itself - namespace creation and document upload happen through Agentset's own platform; this server only exposes an existing namespace's RAG capability to an MCP client.

Capabilities

The server accepts a namespace id via the --ns flag or the AGENTSET_NAMESPACE_ID environment variable, and authenticates via the AGENTSET_API_KEY environment variable. It supports a custom tool description via the -d flag and a tenant id via the -t flag, letting a single deployment scope its tool description and tenant context per invocation.

How to install

Run it directly with npx, yarn dlx, or pnpm dlx, passing the API key as an environment variable and the namespace id as a flag:

AGENTSET_API_KEY=your-api-key npx @agentset/mcp --ns your-namespace-id

To add it to Claude, configure it as an MCP server entry running npx -y @agentset/mcp@latest with AGENTSET_API_KEY and AGENTSET_NAMESPACE_ID set in the env block. See the full documentation at docs.agentset.ai for API reference details.

Who it's for

Developers who already have documents indexed in an Agentset namespace and want an MCP-compatible AI assistant to query that namespace directly, and operators of multi-tenant Agentset deployments who need each tenant's queries kept in their own scope rather than sharing one undifferentiated connection.

Source README

Agentset MCP

MCP server for Agentset, an open-source platform for Retrieval-Augmented Generation (RAG). Designed for developers who want to build intelligent, document-based applications quickly and efficiently.

Installation

using npm:

AGENTSET_API_KEY=your-api-key npx @agentset/mcp --ns your-namespace-id

using yarn:

AGENTSET_API_KEY=your-api-key yarn dlx @agentset/mcp --ns your-namespace-id

using pnpm:

AGENTSET_API_KEY=your-api-key pnpm dlx @agentset/mcp --ns your-namespace-id

Adding to Claude

{
  "mcpServers": {
    "agentset": {
      "command": "npx",
      "args": ["-y", "@agentset/mcp@latest"],
      "env": {
        "AGENTSET_API_KEY": "agentset_xxx",
        "AGENTSET_NAMESPACE_ID": "ns_xxx"
      }
    }
  }
}

Tips

Passing namespace id as an environment variable

AGENTSET_API_KEY=your-api-key AGENTSET_NAMESPACE_ID=your-namespace-id npx @agentset/mcp

Passing a custom tool description

AGENTSET_API_KEY=your-api-key npx @agentset/mcp --ns your-namespace-id -d "Your custom tool description"

Passing a tenant id:

AGENTSET_API_KEY=your-api-key npx @agentset/mcp --ns your-namespace-id -t your-tenant-id

API Reference

Visit the full documentation for more details.

FAQ

Common questions

Discussion