Tiger Memory MCP Server
Official MCP server from Timescale for Tiger — a memory and context management system built on PostgreSQL and pgvector. Enables AI agents to persist, retrieve, and manage long-term memory through semantic vector search — providing durable agent memory backed by Timescale's PostgreSQL infrastructure.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Official Timescale. HTTPS. Database credentials. pgvector memory may contain sensitive agent data. SOC2.
⚡ Reliability
Best When
A team building production AI agents needs durable memory with semantic retrieval — backed by Timescale's PostgreSQL infrastructure with pgvector for vector similarity search.
Avoid When
You use other vector databases (Pinecone, Weaviate, Qdrant) for memory. Timescale Tiger is PostgreSQL-centric — evaluate if your infrastructure aligns.
Use Cases
- • Persistent agent memory across conversations using semantic vector search
- • Storing and retrieving structured knowledge from long-running AI agent workflows
- • Building agent memory systems on PostgreSQL/pgvector infrastructure
- • Managing AI context windows with selective memory retrieval from Timescale
Not For
- • Teams not using Timescale/PostgreSQL infrastructure
- • Simple session-only memory without persistence needs
- • Non-AI agent use cases without semantic search requirements
Interface
Authentication
Timescale service credentials required. PostgreSQL connection string with pgvector. Timescale Cloud or self-hosted PostgreSQL.
Pricing
Timescale Cloud has a free trial. Self-hosted PostgreSQL with pgvector is fully free. MCP server is free open source from official Timescale org.
Agent Metadata
Known Gotchas
- ⚠ pgvector embedding dimensions must match your embedding model — configure before storing memories
- ⚠ Memory retrieval quality depends on embedding model quality — use consistent models
- ⚠ Connection pooling important for agents making frequent memory queries
- ⚠ Official from Timescale — high quality but Tiger is relatively new compared to other Timescale products
Alternatives
Full Evaluation Report
Detailed scoring breakdown, competitive positioning, security analysis, and improvement recommendations for Tiger Memory MCP Server.
Scores are editorial opinions as of 2026-03-06.