
raras
MCP server by github.com/rarasai/raras
Disease Twin — Brazil's rare-disease knowledge graph (10,468) over MCP. Source-grounded, PT-BR.
About raras
raras is an MCP (Model Context Protocol) server published by rarasai in the official MCP registry, listed under Knowledge & Memory on Loomal. Disease Twin — Brazil's rare-disease knowledge graph (10,468) over MCP. Source-grounded, PT-BR.
raras runs as a hosted remote over streamable-http — MCP clients connect directly to its endpoint, with nothing to install locally.
Development happens in the open at github.com/rarasai/raras.
Use raras with your agent
claude mcp add --transport http raras https://raras.org/api/mcp{
"mcpServers": {
"raras": {
"url": "https://raras.org/api/mcp"
}
}
}https://raras.org/api/mcpFrequently asked questions
- What is raras?
- raras is an MCP (Model Context Protocol) server by rarasai in the Knowledge & Memory category. Disease Twin — Brazil's rare-disease knowledge graph (10,468) over MCP. Source-grounded, PT-BR.
- How do I connect raras to Claude, Cursor, or another MCP client?
- raras is a remote MCP server — add its endpoint (https://raras.org/api/mcp) to your client's MCP configuration (for example with "claude mcp add", or under "mcpServers" in Cursor's mcp.json) and restart the client.
- Is raras open source?
- Yes — the source code is public at github.com/rarasai/raras.
- Can AI agents pay to use raras?
- Not yet through Loomal — raras is listed as a free directory entry. If its maintainer verifies ownership, they can set per-call USDC pricing that agents pay over x402, with settlement on Base.
More Knowledge & Memory MCP servers

Codebase Memory
3.4k
Codebase knowledge graph for AI agents — 159 languages, sub-ms queries, 99% fewer tokens.

basic-memory
3.2k
Local-first knowledge management with bi-directional LLM sync via Markdown files.

tradememory-protocol
1.2k
MCP memory for AI trading agents. Store trades, recall similar setups, track strategy performance.

mcp-neo4j-memory
959
MCP Neo4j Knowledge Graph Memory Server

ori-memory
310
Persistent memory infrastructure for AI agents. Identity, knowledge graph, and search.

YourMemory
245
Persistent memory for AI agents. Memories decay with time and strengthen on recall.
Listing data from the official MCP registry and GitHub, refreshed periodically. Not affiliated with the maintainer unless claimed. Maintain raras? Claim this listing free by verifying GitHub ownership, or contact us.