Smriti-MCP
Smriti-MCP is an MCP server, listed under databases. It reaches embedding, llm and neo4j. It needs EMBEDDING_API_KEY, LLM_API_KEY and NEO4J_PASSWORD to authenticate. Its repository has 8 GitHub stars and is licensed under AGPL-3.0; we last read it on 2026-10-24.
Smriti-MCP is a Model Context Protocol server offering persistent, graph-based memory for LLM applications. It supports LadybugDB, Neo4j, and FalkorDB backends with multi-stage retrieval methods including cue extraction, graph traversal, vector similarity, and multi-hop association.
Install
Read from Smriti-MCP’s own README, close to verbatim -- not written by us, and not guessed.
docker run -it --rm -p 8080:8080 tejzpr/smriti-mcp
What it reaches, and what it needs
Maintenance
Smriti is a Model Context Protocol (MCP) server that provides persistent, graph-based memory for LLM applications. Supports LadybugDB, Neo4j, and FalkorDB backends with EcphoryRAG-inspired multi-stage retrieval, combining cue extraction, graph traversal, vector similarity, and multi-hop association - for human-like memory recall.
Smriti-MCP compared with similar servers
| Server | Reaches | Needs | Stars | Last update | Licence |
|---|---|---|---|---|---|
| Smriti-MCP (this page) | embedding, llm, neo4j | EMBEDDING_API_KEY, LLM_API_KEY, NEO4J_PASSWORD | 8 | 2026-04-24 | AGPL-3.0 |
| CodeGraphContext | neo4j(1 shared) | NEO4J_PASSWORD | 4,360 | 2026-10-22 | MIT |
| atlas-mcp-server | neo4j(1 shared) | MCP_AUTH_SECRET_KEY, NEO4J_PASSWORD | 478 | 2025-07-22 | Apache-2.0 |
| mcp | neo4j(1 shared) | NEO4J_MCP_PASSWORD | 300 | 2026-10-22 | NOASSERTION |
| mcp-neo4j-memory-server | neo4j(1 shared) | NEO4J_PASSWORD | 23 | 2025-03-15 | MIT |
| claude-code-memory | neo4j(1 shared) | NEO4J_PASSWORD | 11 | 2025-06-28 | — |
Ranked by services in common with Smriti-MCP, then by stars. Figures are from each repository when we last read it.
Common questions about Smriti-MCP
- What does Smriti-MCP do?
- Smriti-MCP is a Model Context Protocol server offering persistent, graph-based memory for LLM applications. It supports LadybugDB, Neo4j, and FalkorDB backends with multi-stage retrieval methods including cue extraction, graph traversal, vector similarity, and multi-hop association.
- How do I install Smriti-MCP?
- Its own README gives this command: docker run -it --rm -p 8080:8080 tejzpr/smriti-mcp. Run it where your MCP client can launch the server, and check the README for any settings it asks for.
- What does Smriti-MCP connect to, and what does it need?
- It reaches embedding, llm and neo4j. The credentials we found in its source are EMBEDDING_API_KEY, LLM_API_KEY and NEO4J_PASSWORD.
- Is Smriti-MCP official and is it maintained?
- We found nothing naming it as a vendor’s official server. Its repository has 8 GitHub stars and its state in our directory is listed. Its last commit we recorded was on 2026-04-24.
- What licence does Smriti-MCP use?
- The repository declares the AGPL-3.0 licence.
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