How do I install the mnemex mcp server?

Use a recorded configuration for your client, replace example credential values and paths, and verify the documented runtime. Restart or reconnect the client, then inspect the available tools.

What credentials does it need?

It reads `PYTHONPATH`, `CORTEXGRAPH_STORAGE_PATH`, `LTM_VAULT_PATH` from the environment. Store these in your client's env block or a secrets manager — never commit them to a repository — and grant the narrowest scope that still covers your use case.

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Mnemex MCP Server

A Model Context Protocol (MCP) server providing **human-like memory dynamics** for AI assistants. Memories naturally fade over time unless reinforced

Local serverstdioPython

What is the Mnemex MCP Server?

A Model Context Protocol (MCP) server providing human-like memory dynamics for AI assistants. Memories naturally fade over time unless reinforced through use

The short version

❌ "Delete after 7 days" (doesn't care if you used it 100 times)
❌ "Keep last 100 items" (throws away important stuff just because it's old)
✅ Combines recency (when?), frequency (how often?), and importance (how critical?)
✅ Memories fade naturally like human memory
✅ Frequently used memories stick around longer
✅ You can mark critical things to "never forget"

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

Tool	What it does
save_memory	Save new memory with tags, entities (auto-enrichment in v0.6.0+)
search_memory	Search with filters and scoring (includes review candidates)
search_unified	Unified search across STM + LTM
touch_memory	Reinforce memory (boost strength)
observe_memory_usage	Record memory usage for natural spaced repetition
analyze_message	✨ NEW v0.6.0 - Detect memory-worthy content, suggest entities/strength
analyze_for_recall	✨ NEW v0.6.0 - Detect recall intent, suggest search queries
promote_memory	Move to long-term storage
cluster_memories	Find similar memories
consolidate_memories	Merge similar memories (algorithmic)
read_graph	Get entire knowledge graph
open_memories	Retrieve specific memories
create_relation	Link memories explicitly

How to install the Mnemex MCP Server

{
  "mcpServers": {
    "cortexgraph": {
      "command": "uv",
      "args": ["--directory", "/path/to/cortexgraph", "run", "cortexgraph"],
      "env": {"PYTHONPATH": "/path/to/cortexgraph/src"}
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

Variable	Description	Required
PYTHONPATH	Python module search path for a local installation.	Optional
CORTEXGRAPH_STORAGE_PATH	Filesystem location the server is allowed to use.	Optional
LTM_VAULT_PATH	Filesystem location the server is allowed to use.	Optional

Example prompts to try

“Use Mnemex to save memory.”
“Use Mnemex to search memory.”
“Use Mnemex to search unified.”

Frequently asked questions

A Model Context Protocol (MCP) server providing **human-like memory dynamics** for AI assistants. Memories naturally fade over time unless reinforced through use Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.