Command Palette

Search for a command to run...

UnylyUnyly
Весь каталог

@Rosalinddb/

БесплатноНе проверен

Model Context Protocol server for RosalindDB, enabling AI clients to create datasets, ingest vectors, run similarity queries, and check usage on a cost-optimize

GitHubEmbed

Описание

Model Context Protocol server for RosalindDB, enabling AI clients to create datasets, ingest vectors, run similarity queries, and check usage on a cost-optimized vector search database.

README

RosalindDB logo

@rosalinddb/mcp

Model Context Protocol server for RosalindDB.

License: Apache 2.0 npm Node 18+


A Model Context Protocol (MCP) server for RosalindDB — a cost-optimized, object-storage-first vector search database.

This server lets MCP-capable AI clients (Claude Desktop, Cursor, Claude Code, and others) operate a RosalindDB instance directly: create datasets, ingest vectors, run similarity queries, and check usage — without hand-writing REST calls. It is a thin wrapper over RosalindDB's v1 REST API: it authenticates with an rb_live_ API key when the backend has auth enabled, otherwise it runs unauthenticated against an OSS-default backend. It contains no business logic of its own.

The RosalindDB engine lives at rosalinddb/rosalinddb. Self-host it via docker compose and point this MCP at it.

Tools

Tool RosalindDB endpoint What it does
list_datasets GET /v1/datasets List all datasets with dimension, status, row count.
create_dataset POST /v1/datasets Create a new empty dataset with a name and vector dimension.
get_dataset GET /v1/datasets/{name} Get one dataset's details and indexing status.
delete_dataset DELETE /v1/datasets/{name} Delete a dataset and its vectors.
ingest_vectors POST /v1/datasets/{name}/vectors (NDJSON) Upsert vector records (id, values, optional metadata). Read-your-writes when the recall tier is on.
query_vectors POST /v1/query Vector similarity search with an optional flat metadata filter. Reports the serving tier in mode.
get_vector GET /v1/datasets/{name}/vectors/{id} Fetch one vector's id + metadata (optionally its embedding).
list_vectors GET /v1/datasets/{name}/vectors List/enumerate stored vectors (memories) with an optional filter.
delete_vector DELETE /v1/datasets/{name}/vectors/{id} Delete one vector by id (read-your-deletes when the recall tier is on).
get_usage GET /auth/usage Current usage and quotas (vectors stored, queries today).
list_api_keys GET /auth/keys List the instance's API keys (metadata only).

For very large embedding dumps (over the 10 MiB ingest_vectors cap), use RosalindDB's async import-job flow directly via the REST API.

Recall tier (read-your-writes)

RosalindDB can run an optional recall tier — a hot pgvector instance the server enables with RB_RECALL + RB_RECALL_DSN. It's transparent to this MCP (nothing to configure client-side), but it changes the behavior an agent sees:

  • ingest_vectors is read-your-writes. With recall on, an upsert is synchronous (no job_id in the result) and the vector is immediately returned by the next query_vectors. With recall off, ingest is eventually consistent (returns a job_id) — poll get_dataset until status is indexed.
  • delete_vector is read-your-deletes. With recall on, a delete is a synchronous tombstone ({ synchronous: true }) and the vector is gone from queries at once; with recall off it queues a rebuild ({ async: true, job_id }).
  • query_vectors reports the serving tier in mode: recall (the recall tier), hot/cold (the consolidated object-storage tier — hot = shard already cached in memory, cold = first fetch), or ephemeral (no shard yet, computed on demand). Recall and consolidated results are unioned, with recall authoritative for anything written since the last consolidation.

This makes RosalindDB usable as agent working memory: store a fact and recall it on the very next turn. See the engine's recall / consolidate docs.

Auth modes

The RosalindDB backend ships in two modes; the MCP server supports both:

  • OSS default (RB_REQUIRE_AUTH=false): no auth, no API key needed. This is what docker compose up gives you out of the box. Set ROSALINDDB_API_URL to your stack and leave ROSALINDDB_API_KEY unset. The list_api_keys, get_usage, and signup endpoints are disabled in this mode; calls to them surface a clear auth_disabled hint.
  • Multi-tenant self-host (RB_REQUIRE_AUTH=true): set ROSALINDDB_API_KEY=rb_live_.... Create a key with POST /auth/keys (or use POST /auth/signup for the first user on a fresh stack).

Configuration

The server reads two environment variables:

Variable Required Default Description
ROSALINDDB_API_KEY No A RosalindDB API key (rb_live_...). Required when the backend runs with RB_REQUIRE_AUTH=true; omit for an OSS-default backend.
ROSALINDDB_API_URL No http://localhost:8080 Base URL of the RosalindDB API.

When set, the key is sent as Authorization: Bearer rb_live_... on every request. A key that doesn't start with rb_live_ triggers a startup warning but is not rejected (in case you front the backend with a custom auth proxy).

Wiring it into an MCP client

Add this to your MCP client config (for Claude Desktop, claude_desktop_config.json):

{
  "mcpServers": {
    "rosalinddb": {
      "command": "npx",
      "args": ["-y", "@rosalinddb/mcp"],
      "env": {
        "ROSALINDDB_API_URL": "http://localhost:8080"
      }
    }
  }
}

npx -y @rosalinddb/mcp downloads and runs the server on demand — no global install needed. The server speaks the stdio transport, the standard for a locally-launched MCP server.

Pointing at a non-local instance? Set ROSALINDDB_API_URL to its base URL. If auth is on, also set ROSALINDDB_API_KEY=rb_live_.... The backend lives at rosalinddb/rosalinddb.

Local development

npm install        # install dependencies
npm run build      # compile TypeScript to dist/
npm test           # run the vitest unit + in-process MCP suite
npm run smoke      # build, then drive a real tools/list over stdio

To run the server directly from a local checkout:

{
  "mcpServers": {
    "rosalinddb": {
      "command": "node",
      "args": ["/absolute/path/to/mcp-server/dist/index.js"],
      "env": {
        "ROSALINDDB_API_URL": "http://localhost:8080"
      }
    }
  }
}

Live smoke test

With a running RosalindDB stack and a real key, tests/live-smoke.mjs exercises create → ingest → usage → query → delete end to end:

npm run build
ROSALINDDB_API_KEY=rb_live_... node tests/live-smoke.mjs

It is skipped automatically when no key is set.

Error handling

RosalindDB API errors are mapped to clear, actionable MCP tool errors — never a raw stack trace. A 404 surfaces as "dataset does not exist — list datasets or create it first"; a 429 quota error explains the limit and how to recover; a 404 auth_disabled (calling list_api_keys against an OSS-default backend) explains that the auth endpoints are gated behind RB_REQUIRE_AUTH=true; and a 503 recall_write_failed / recall_delete_failed / recall_unavailable explains that the read-your-writes tier is momentarily down and the call should be retried.

License

Apache 2.0. See LICENSE.

Security

To report a vulnerability, see SECURITY.md.

from github.com/rosalinddb/rosalinddb-mcp

Установка @Rosalinddb/

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/rosalinddb/rosalinddb-mcp

FAQ

@Rosalinddb/ MCP бесплатный?

Да, @Rosalinddb/ MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для @Rosalinddb/?

Нет, @Rosalinddb/ работает без API-ключей и переменных окружения.

@Rosalinddb/ — hosted или self-hosted?

Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.

Как установить @Rosalinddb/ в Claude Desktop, Claude Code или Cursor?

Открой @Rosalinddb/ на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

Похожие MCP

Compare @Rosalinddb/ with

Не уверен что выбрать?

Найди свой стек за 60 секунд

Автор?

Embed-бейдж для README

Похожее

Все в категории data