Memtrace MCP Server

Memtrace gives AI coding agents structural memory — your codebase as a live knowledge graph so agents stop re-deriving code structure from scratch

Local serverstdioPython

What is the Memtrace MCP Server?

Memtrace gives AI coding agents structural memory — your codebase as a live knowledge graph so agents stop re-deriving code structure from scratch and start

What it actually does

Configuration

Memtrace runs locally — first index is CPU/RAM intensive, subsequent queries and incremental indexing are much lighter. | | Minimum | Recommended | |---|---|---| | CPU | 4 cores | 8+ cores for large monorepos | | Memory | 8 GB RAM | 16–32 GB RAM | | Disk | 5 GB free | 10–20 GB free | | GPU | Not required | Not required | | Node.js | ≥ 18 | Current LTS | | Git | Required for temporal analysis |

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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.

ToolWhat it does
find_codehybrid BM25 + semantic + RRF
find_symbolexact / fuzzy with Levenshtein
analyze_relationshipscallers, callees, hierarchy, imports
get_symbol_context360° view in one call
get_impactblast radius with risk rating
detect_changesdiff-to-symbols scope mapping
find_dead_codezero-caller detection
find_most_complex_functionscomplexity hotspots
calculate_cyclomatic_complexityget_repository_stats
get_evolution6 scoring modes
get_timelinefull version history
find_bridge_symbolsbetweenness centrality
find_central_symbolsPageRank / degree
list_communitiesLouvain modules

How to install the Memtrace MCP Server

{
  "mcpServers": {
    "memtrace": {
      "command": "memtrace",
      "args": [
        "mcp"
      ],
      "env": {}
    }
  }
}

From the project documentation. Replace placeholders and example paths before connecting.

Configuration

Memtrace runs locally — first index is CPU/RAM intensive, subsequent queries and incremental indexing are much lighter. | | Minimum | Recommended | |---|---|---| | CPU | 4 cores | 8+ cores for large monorepos | | Memory | 8 GB RAM | 16–32 GB RAM | | Disk | 5 GB free | 10–20 GB free | | GPU | Not required | Not required | | Node.js | ≥ 18 | Current LTS | | Git | Required for temporal analysis |

Example prompts to try

  • “Use Memtrace to find code.”
  • “Use Memtrace to find symbol.”
  • “Use Memtrace to analyze relationships.”

Frequently asked questions

Memtrace gives AI coding agents structural memory — your codebase as a live knowledge graph so agents stop re-deriving code structure from scratch and start Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.