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  3. Ratary
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Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 8:19:45 PM

Ratary

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View Repository1 GitHub StarsTotal stargazers on GitHub for the source repository (1 stars).Visit Website
ai-memorymcpknowledge-graphhybrid-searchself-hosted

Persistent AI memory over MCP with hybrid search, knowledge graphs, and self-hosted SQL storage.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag โ€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON โ–พ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "ontorata-ratary": {
      "command": "npx",
      "args": [
        "-y",
        "@ratary/mcp-server@1.1.3"
      ]
    }
  }
}

๐Ÿ’ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives๐Ÿง  More in Knowledge & Memory

Overview

The ontorata/ratary MCP server gives AI assistants persistent, structured memory through MCP tools. It stores versioned, owner-scoped knowledge and supports hybrid retrieval, metadata, relationships, graph traversal, and bounded context assembly. Run the server locally with a SQL metadata store, or connect the npm MCP package to a Ratary API using environment variables. Reach for it when coding assistants or agents need memory across sessions and projects.

Use cases

โ€ขStore architecture decisions between coding sessions
โ€ขRetrieve project knowledge for an AI coding assistant
โ€ขConnect multiple agents to shared persistent memory
โ€ขTraverse relationships between stored technical facts

Key features

โ€ขPersistent versioned memory
โ€ขHybrid search and context assembly
โ€ขStructured metadata and knowledge graphs
โ€ข28 MCP tools
โ€ขSelf-hosted SQL storage
โ€ขOptional remote Streamable HTTP

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Ratary.

Extracted Tool Capabilities
Persistent versioned memory
Hybrid search and context assembly
Structured metadata and knowledge graphs
28 MCP tools
Self-hosted SQL storage
Optional remote Streamable HTTP

How Ratary works

What ontorata/ratary MCP server does

The ontorata/ratary MCP server connects AI clients to Ratary, an open-source memory platform for persistent AI context. It is intended for assistants and agents that need to retain information between sessions instead of relying only on the current conversation or manually supplied documents.

Ratary stores durable, owner-scoped, versioned memory alongside structured knowledge. Records can include metadata and relationships, allowing applications to retrieve related information and traverse a knowledge graph. The platform also provides hybrid search and bounded context assembly so retrieved information can be selected for an agent's available context.

The repository contains Ratary Server, which exposes REST, persistence, and a Ratary MCP stdio implementation. The project also publishes client packages, including @ratary/mcp-server, which connects an IDE MCP client to a Ratary API over stdio.

How it works

A local deployment runs on Node.js 24 and uses a SQL metadata store. PostgreSQL is the documented template default, while Cloudflare D1 is also supported in the quick-start instructions. The current description additionally identifies MariaDB and Docker as deployment options.

For a self-hosted setup, the MCP layer operates against the Ratary Server instance. The server exposes an API at http://localhost:9876 in the local example, with Swagger documentation at /docs. A bootstrap step creates an API key beginning with aic_; clients then authenticate with that key.

The npm MCP package provides another path: it runs as a stdio process and sends requests to a hosted or self-hosted Ratary REST API. Configure the target with RATARY_BASE_URL and authenticate with RATARY_API_KEY.

Setup and configuration

The repository quick start requires Node.js 24, a SQL metadata store, and an environment file. PostgreSQL setup uses DATABASE_URL and AUTH_SECRET, applies the PostgreSQL schema, runs setup, and starts the development server. The D1 path sets SQL_PROVIDER=d1 and the relevant Cloudflare or D1 configuration before running migrations.

The documented npm command is:

Terminal
npx -y @ratary/mcp-server@1.1.3

That package requires RATARY_BASE_URL and RATARY_API_KEY to connect to the API. The repository also documents npm run setup for wiring Ratary MCP to clients such as Cursor and Claude Code.

Tools and capabilities

The listing describes 28 MCP tools. Supported platform capabilities include:

  • Saving and retrieving persistent memory
  • Hybrid search across stored knowledge
  • Metadata and relationship handling
  • Knowledge-graph traversal
  • Token-conscious context assembly
  • REST and MCP access to the same memory layer
  • Optional remote Streamable HTTP access

These capabilities suit coding assistants, project-specific agents, and applications that need one durable memory source across multiple models or client surfaces.

Limitations and notes

The material does not provide the names or schemas of the 28 MCP tools, so tool-level parameters cannot be evaluated here. A SQL metadata store is required for the self-hosted server, and the database choice changes the setup steps. The npm MCP process is a client adapter to a Ratary API; it does not replace the server or database. Remote Streamable HTTP is described as optional, while the repository's native implementation is stdio.

Ratary is self-hostable and released under the MIT license. The provided material does not describe hosted-service pricing or service-level guarantees.

Read the full README โ†’View source on GitHub โ†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks โ€” not a rating.

GitHub stars
1
Stargazers on the source repository.
Last commit
1mo ago
Most recent push to the default branch.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Ratary

Run `npx -y @ratary/mcp-server@1.1.3`. Set `RATARY_BASE_URL` and `RATARY_API_KEY` so it can connect to a Ratary API.

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Technical Specs & Signals

Category๐Ÿง Knowledge & Memory
PricingFree
More technical detailsExpand โ–พ
TransportSTDIO
RuntimeNode.js
AuthAPI key
LicenseMIT
ClientsCursor
Last updatedSep 7, 2026
Views3
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars1
GitHub Star CountTotal stargazers on GitHub representing community popularity (1 stars).
Last commit1mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 10, 2026
49Quality signal: Fair ยท 49/100How this signal is calculated โ–พ
Server availabilityNot measured

Not scored for repo-hosted servers โ€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools24/30
Adoption & activity3/15
Community engagement0/10

A guidance signal from public completeness & health data โ€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 19d ago via OSV.dev ยท @ratary/mcp-server@1.1.3 (npm)

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