About Loci
Loci for agents connects compatible agent clients to models running locally in the Loci app on Apple silicon Macs. It supports text tasks and, in compatible app versions, file and audio processing.
Key features
- 01Use models running on the Mac
- 02Summarization and rewriting
- 03Classification and structured output
- 04Batch processing
- 05File, document, folder, and audio tools in compatible versions
Use cases
- 01Summarize or rewrite text locally
- 02Classify content and produce structured output
- 03Process batches with a local model
- 04Extract or search documents and transcribe audio
MCP support
Loci provides an MCP bundle or signed local stdio connector for MCP clients. Enable Agent Access in the app and keep Loci running while connected.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMELoci for agents
Use models running on your Mac for summaries, rewriting, classification, structured output and batch processing. Compatible Loci app versions also provide file processing, document extraction, folder search and audio transcription.
Requires an Apple silicon Mac, macOS 26.2 or later, and the Loci direct-download app. Available tools depend on your app version.
Codex
Add the Loci marketplace:
codex plugin marketplace add AskLoci/loci-plugins
In the desktop app, open the Plugins Directory, select Loci, and install the Loci plugin. If the marketplace does not appear, restart the desktop app. Start a new chat and ask: “Help me set up Loci.”
Claude Code
Add the marketplace and install Loci:
claude plugin marketplace add AskLoci/loci-plugins
claude plugin install loci@askloci
Start a new conversation and ask: “Help me set up Loci.” Setup and data handling.
Cursor
Open Customize → Plugins and add https://github.com/AskLoci/loci-plugins as a repository source. Install Loci, start a new conversation, and ask: “Help me set up Loci.” Setup and data handling.
Other MCP clients
Use the Loci MCP bundle with a local macOS client that supports MCPB, or configure the signed connector as a local stdio server. No Node.js or Python runtime is required.
Connect Loci
Open Loci and enable Settings → Advanced → Agent Access. Keep Loci running while using the plugin. The setup tool checks the connection and helps choose an installed model or a compatible download. Existing models are shared with the app.
Data and file access
Model inference runs on your Mac. Prompts, paths and returned results shared in your assistant conversation follow that assistant’s data policies. File tools can read paths you authorize; summaries, extracted values, quotes and search passages can reveal information from those files.
The connector reads Loci’s owner-only connection file and sends its credential only over loopback. It has no separate analytics or external reporting endpoint. Loci’s data practices are described in its privacy policy.
Comments
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.