Supporting Connectors with reliability in mind
Why MCPs limit production agents
MCPs become inefficient at scale
Agents reason to make each MCP call, and then it crawls through different sources to find the right context. This is slow and takes a lot of tokens when each response is dumped as context.
Running MCPs in production is hard
Every MCP plays by its own rules - different access controls, security models, APIs, available tools and rate limits. Managing credentials safely requires gymnastics.
Locality makes agents work better by mounting apps locally as files
Locality exposes the data model behind apps as files
Pages and documents become folders and Markdown files that agents can read and write directly.
Agents work powerfully with files and native shell tools
Agents read, edit, grep, compare, and combine context across apps with a unified file interface. Agents write powerful shell scripts to do more at once.
Sync without losing control
Locality automatically maintains freshness, shows diffs, gets risky changes reviewed, and helps resolve conflicts before updates reach the source app.
Simple Security and Privacy
Only allow access to the files that an agent needs for a job. Read-only and write permissions for a file define what can be updated. Simple, transparent permissions that you fully control.
Using Locality for Production
Connect and Ingest
Connect your sources, that are ingested and organized as a file hierarchy
Define workspace
Control what connections and files an agent has access to.

Mount filesystem
When the sandbox starts, mount the file system within a second
Agent Prompt
Agents search, read and edit with standard filesystem operations.
Review Changes
Agents review the proposed update before it leaves the local workspace
Sync to source
Approved edits sync back. The original app remains the source of truth
One filesystem. Infinite workflows.
Every app becomes a folder. Every document becomes a file. Every agent speaks the same language.

Agent ready workspaces
Give every agent a predictable local contract instead of teaching each one a different app-specific interface.

Agent works seamlessly
Agent is at home with files that is a cached version of the data that is returned by MCPs

