mcpField
A
Agentset

Agentset

Local
github.com/agentset-aiMemory & Knowledge2.1kUpdated today
Repository

About Agentset

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

#agentset#rag-as-a-service#typescript-sdk

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "agentset-ai": {
      "command": "npx",
      "args": [
        "-y",
        "@agentset/mcp"
      ],
      "env": {
        "AGENTSET_API_KEY": "<AGENTSET_API_KEY>",
        "AGENTSET_NAMESPACE_ID": "<AGENTSET_NAMESPACE_ID>"
      }
    }
  }
}
Run commandnpx -y @agentset/mcp
Environment variables to set
AGENTSET_API_KEYSecret
AGENTSET_NAMESPACE_ID

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@agentset/mcp

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.