MCP (Model Context Provider) Support

[joepio]

AtomicServer is a powerful and fast CMS / Graph Database with full-text search capabilities. It would be great if it also supported the modern MCP standard, which allows LLMs / AI models to perform search queries.

Of course, AtomicServer can be a data source for some MCP server. But a true MCP server also has the ability to say "these are the functions that are available here, and this is how you call them".

Options

Use a lightweight Python server, using FastMCP

• I don't like adding a dependency to Python, makes the whole way more complicated and slow

AtomicServer adds MCP endpoints, in Rust

• We can use a library likemcp_rust_sdk (example) to add MCP endpoints to AtomicServer.
• Maybe it makes more sense to implement this semi-manually by adding an Actix endpoint and using the types from the mcp-rust-sdk crate
• There's this async-mcp crate which uses Actix, and extended from this mcp-sdk crate (synchronous)

Client-only (virtual) MCP in Typescript

• We create a virtual MCP server, in the client. This gives us access to write features, because we have the Agent + PrivateKey.
• This does not give other MCP clients the possibility of using AtomicServer as a data source.

Related issues

• Atomic Assistant: LLM integration #951

[joepio]

For now, it seems best to go for the Client-Only Virtual MCP approach. This is the easiest for Polle and gives us the largest possible set of features (like write capabilities).