rustymcp 0.1.1

Rusty Memory is a no-fuss memory server for coding agents.
Documentation

Rusty Memory MCP

Crates.io docs.rs CI license

Rusty Memory MCP is a no‑fuss memory server for coding agents. It chunks text, generates embeddings, and stores vectors in Qdrant. You can run it as:

  • An MCP server over stdio for editors/agents
  • A local HTTP service for simple scripts

If you want to hack on the codebase or learn how it works internally, jump to Developer Docs below.

Quick Start (MCP in your editor)

  1. Install the binaries

    cargo install rustymcp
    

    This installs:

    • rusty_mem_mcp (MCP server)
    • rustymcp (HTTP server)
    • metrics-post (helper used by scripts)
  2. Start Qdrant (vector database)

    docker run --pull=always -p 6333:6333 qdrant/qdrant:latest
    
  3. Configure environment

    Copy .env.example to .env and edit values, or provide the same variables via your MCP client config:

    Required variables:

    • QDRANT_URL (e.g. http://127.0.0.1:6333)
    • QDRANT_COLLECTION_NAME (e.g. rusty-mem)
    • EMBEDDING_PROVIDER (ollama or openai — used for logging today)
    • EMBEDDING_MODEL (free‑form, e.g. nomic-embed-text)
    • EMBEDDING_DIMENSION (must match your model, e.g. 768)
  4. Launch the MCP server

    rusty_mem_mcp
    
  5. Add to your agent

    • Codex CLI (~/.codex/config.toml):

      [mcp_servers.rusty_mem]
      command = "rusty_mem_mcp" # or use the full path to the binary
      args = []
      transport = "stdio"
      
        [mcp_servers.rusty_mem.env]
        QDRANT_URL = "http://127.0.0.1:6333"
        QDRANT_COLLECTION_NAME = "rusty-mem"
        EMBEDDING_PROVIDER = "ollama"
        EMBEDDING_MODEL = "nomic-embed-text"
        EMBEDDING_DIMENSION = "768"
      
    • JSON clients (Kilo, Cline, Roo Code):

      {
        "mcpServers": {
          "rusty": {
            "command": "rusty_mem_mcp",
            "args": [],
            "transport": "stdio",
            "env": {
              "QDRANT_URL": "http://127.0.0.1:6333",
              "QDRANT_COLLECTION_NAME": "rusty-mem",
              "EMBEDDING_PROVIDER": "ollama",
              "EMBEDDING_MODEL": "nomic-embed-text",
              "EMBEDDING_DIMENSION": "768"
            }
          }
        }
      }
      
  6. Try it

    From your agent, use:

    • get-collections → list Qdrant collections
    • new-collection → create or resize a collection
    • push → index text into a collection
    • metrics → view counters (documentsIndexed, chunksIndexed, lastChunkSize)

Optional: Run the HTTP server

If you prefer HTTP, set the same environment and run:

rustymcp

By default the server binds the first free port in 4100–4199 (or SERVER_PORT if set). Example:

curl -sS -X POST http://127.0.0.1:4100/index \
  -H 'Content-Type: application/json' \
  -d '{"text":"hello from http"}'

Returns { "chunks_indexed": <number>, "chunk_size": <number> } on success.

Having trouble? See docs/Troubleshooting.md.

Developer Docs

If you want to extend Rusty Memory or understand the architecture:

  • Configuration reference and client snippets: docs/Configuration.md
  • Architecture and module overview: docs/Design.md
  • Editor integration examples: docs/Editors.md
  • Development guide (style, tests, scripts): docs/Development.md

License

Licensed under the PolyForm Noncommercial License 1.0.0. Free for non‑commercial use.

Support

Issues and PRs are welcome. If anything in the Quick Start is unclear, please open an issue so we can make onboarding even smoother.