Agentset
@agentset-ai
About Agentset
No overview available yet
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"agentset": {
"command": "npx",
"args": [
"-y",
"@agentset/mcp@latest"
],
"env": {
"AGENTSET_API_KEY": "agentset_xxx",
"AGENTSET_NAMESPACE_ID": "ns_xxx"
}
}
}
}Tools
No tools detected
Fetch the live tool list by running this server in a temporary sandbox using the button above.
Overview
What is Agentset?
Agentset is a TypeScript SDK for the Agentset platform, an agentic RAG-as-a-service. It provides programmatic access to create and manage knowledge bases, ingest content, and perform semantic search.
How to use Agentset?
Install the npm package (npm install agentset, yarn add agentset, or pnpm add agentset), then import the Agentset class, initialize it with an API key, and use methods like namespaces.create(), ns.ingestion.create(), and ns.search().
Key features of Agentset
- Create and manage namespaces (knowledge bases)
- Ingest text content into a namespace
- Search across ingested content
- Typed error handling (
NotFoundError,UnauthorizedError) - Custom fetch implementation support
Use cases of Agentset
- Build a question‑answering system over proprietary documents
- Create a searchable knowledge base for customer support
- Enable agentic RAG pipelines with custom embedding models
- Manage multiple isolated knowledge bases within one project
FAQ from Agentset
How do I install the SDK?
Use npm, yarn, or pnpm: npm install agentset, yarn add agentset, or pnpm add agentset.
How do I initialize the client?
Import Agentset and create an instance with your API key: new Agentset({ apiKey: "your_api_key_here" }).
What runtime is required?
The SDK is a TypeScript package meant for Node.js environments (npm‑based projects).
How are errors handled?
The SDK throws typed errors such as NotFoundError and UnauthorizedError, which you can catch with instanceof checks.
Can I provide a custom fetch implementation?
Yes, pass a fetcher option (e.g., node-fetch) when initializing the Agentset client.
Frequently asked questions
How do I install the SDK?
Use npm, yarn, or pnpm: `npm install agentset`, `yarn add agentset`, or `pnpm add agentset`.
How do I initialize the client?
Import `Agentset` and create an instance with your API key: `new Agentset({ apiKey: "your_api_key_here" })`.
What runtime is required?
The SDK is a TypeScript package meant for Node.js environments (npm‑based projects).
How are errors handled?
The SDK throws typed errors such as `NotFoundError` and `UnauthorizedError`, which you can catch with `instanceof` checks.
Can I provide a custom fetch implementation?
Yes, pass a `fetcher` option (e.g., `node-fetch`) when initializing the `Agentset` client.
Basic information
More Other MCP servers
FastMCP v2 🚀
jlowin🚀 The fast, Pythonic way to build MCP servers and clients.

Sequential Thinking
modelcontextprotocolModel Context Protocol Servers
Blender
ahujasidOpen-source MCP to use Blender with any LLM
Codelf
unbugA search tool helps dev to solve the naming things problem.
MCP Go 🚀
mark3labsA Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.
Comments