Atlas Agent

MCP vs RAG

Use MCP for structured, auditable actions and RAG for narrative answers. Atlas shows how the two feed each other.

Brokers ask whether they should invest in MCP or RAG. The answer is both. MCP servers guarantee inputs, outputs, scopes, and budgets. RAG systems fetch unstructured knowledge to make answers conversational. Atlas stitches them together so every narrative cites a provable artifact.

When MCP wins

Use MCP whenever the action has a contract: generate a PDF, fetch MLS data, log a consent approval. You know the inputs, outputs, and rate caps ahead of time, so finance can forecast usage.

Atlas MCP tools also return artifact URIs and provenance signatures. Those attach to the workspace record automatically.

  • Structured outputs with schema validation.
  • Chain-of-custody tags for every artifact.
  • Budgets and alerts across tools and vendors.

When RAG adds value

RAG shines when you need to blend multiple artifacts or explain decisions. After an MCP tool produces a comps PDF, a RAG agent can summarize it, answer “what changed since last week,” or draft an email.

Atlas stores artifact URIs in the usage event. RAG pipelines read those URIs so they only cite approved data.

Implementation blueprint

Start with the Server Builder to get MCP online, then mirror its artifacts into your vector store. Use the Knowledge Base schema to keep fields consistent across warehouses.

Atlas Agent

Run your own MCP server

Use Atlas Server Builder to launch faster, then upgrade to Hosted Atlas Bot when you need more seats and surfaces.

Related guides

What is an MCP server?

Pillar primer on Atlas Agent MCP strategy.

Go to What is an MCP server?

Knowledge Base

Identity, consent, provenance, tracker guard details.

Go to Knowledge Base

Pricing

Compare Server Builder, Starter Kits, and Hosted Atlas Bot.

Go to Pricing
Atlas Agent