Rusty
CaliLuke스타 1개
A minimal Rust vector-memory server that works with Qdrant and Ollama.
- 전송 방식
- stdio
- 상태
- 로컬
에이전트 강화
게시자가 제공하는 설치 방식입니다. PlugMCP 엔드포인트가 아닙니다.
원격 URL인가요, 내 컴퓨터에서 실행하는 명령인가요? 두 설치 방식의 차이
PlugMCP에서 실행
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
실행Rusty 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:
If you want to hack on the codebase or learn how it works internally, jump to Developer Docs below.
Install the binaries
cargo install rustymcp
This installs:
rusty_mem_mcp (MCP server)rustymcp (HTTP server)metrics-post (helper used by scripts)Start Qdrant (vector database)
docker run --pull=always -p 6333:6333 qdrant/qdrant:latest
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 enables the local client; other values use the deterministic fallback for now)EMBEDDING_MODEL (free‑form, e.g. nomic-embed-text)EMBEDDING_DIMENSION (must match your model, e.g. 768)OLLAMA_URL (optional, defaults to http://127.0.0.1:11434 when EMBEDDING_PROVIDER=ollama)Launch the MCP server
rusty_mem_mcp
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"
OLLAMA_URL = "http://127.0.0.1:11434" # omit to use the default
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",
"OLLAMA_URL": "http://127.0.0.1:11434"
}
}
}
}
Try it
From your agent, use:
push → ingest text with optional metadata (project_id, memory_type, tags, source_uri)search → retrieve memories semantically with filters for project, memory type, tags, time range, and score thresholdsummarize → condense episodic memories into semantic summaries with provenance and idempotent summary_keysget-collections → list Qdrant collectionsnew-collection → create or resize a collectionmetrics → view counters (documentsIndexed, chunksIndexed, lastChunkSize)listResources → discover read-only resources; use readResource on:
mcp://memory-typesmcp://projectsmcp://healthmcp://settings (search defaults)mcp://usage (usage policy and recommended flows)mcp://{project_id}/tagsIf 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>, "inserted": <number>, "updated": <number>, "skipped_duplicates": <number> } on success.
Having trouble? See docs/Troubleshooting.md.
If you want to extend Rusty Memory or understand the architecture:
docs/Configuration.mddocs/Design.mddocs/Editors.mddocs/Development.mdLicensed under the PolyForm Noncommercial License 1.0.0. Free for non‑commercial use.
Issues and PRs are welcome. If anything in the Quick Start is unclear, please open an issue so we can make onboarding even smoother.
A minimal Rust vector-memory server that works with Qdrant and Ollama.
도구
아직 도구 목록이 없습니다. 원격 서버는 첫 상태 확인 후에 도구 목록이 생깁니다.
FAQ
이 페이지에서 Cursor, Claude Desktop, Claude Code 또는 VS Code용 stdio 설정을 복사합니다. PlugMCP 프록시가 아니라 게시자의 설치 방식을 사용합니다.
이 레코드에는 필수 환경 변수가 등록되어 있지 않습니다.
Rusty은(는) stdio를 통해 로컬에서 실행됩니다.
마지막 확인: 2026-10-28. A minimal Rust vector-memory server that works with Qdrant and Ollama.