Memograph runs on your own machine — the client starts it, so there is no endpoint to ping. 119 installs a week from pypi. Last commit 25 Jun 2026.
Graph-based memory system for LLMs with knowledge graphs and semantic search.
We read the source, 19 h ago · rules 3dff92dd89df
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
result = subprocess.run(
- name: Update manifest version
run: |
VERSION=${{ steps.get_version.outputs.VERSION }}
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add memograph -- uvx memograph
{
"mcpServers": {
"memograph": {
"args": [
"memograph"
],
"command": "uvx"
}
}
}
[mcp_servers.memograph]
command = "uvx"
args = ["memograph"]
{
"mcpServers": {
"memograph": {
"args": [
"memograph"
],
"command": "uvx"
}
}
}
{
"mcpServers": {
"memograph": {
"args": [
"memograph"
],
"command": "uvx"
}
}
}
This one needs environment variables set before it will start:
MEMOGRAPH_VAULT (Path to your MemoGraph vault directory (created if missing).), MEMOGRAPH_READONLY (Set to 'true' to block destructive MCP tools (delete_memory, update_memory, bulk_create, batch_delete, batch_update). Recommended for shared or untrusted clients.), MEMOGRAPH_PROVIDER (Optional LLM provider for query_with_context tool. Only needed if you want AI-generated answers.), MEMOGRAPH_MODEL (Optional LLM model name (e.g. 'claude-sonnet-4-6'). Used together with MEMOGRAPH_PROVIDER.), ANTHROPIC_API_KEY (API key for Anthropic Claude. Required when MEMOGRAPH_PROVIDER=claude or when using the [anthropic] extra.), OPENAI_API_KEY (API key for OpenAI. Required when using the [openai] extra (embeddings or LLM).), OLLAMA_HOST (Base URL for a local Ollama server (default http://localhost:11434). Only needed when MEMOGRAPH_PROVIDER=ollama or the [ollama] extra is installed.).
The author declared them in the registry entry; get the values from the project itself.
Semantic memory for AI agents with hybrid search, knowledge graph, and consolidation
Event-sourced knowledge graph memory for AI coding agents with semantic search
Persistent knowledge-graph memory for AI agents, with local semantic search. No API keys.
Local memory engine for AI agents with knowledge graphs, forgetting, and semantic recall
Persistent semantic memory for AI agents with knowledge graphs and Intelligence Packs.
Persistent semantic memory for AI agents with knowledge graphs and Intelligence Packs.
Persistent memory for AI assistants with semantic search and knowledge graph relationships.
Persistent long-term memory for AI agents: semantic search, knowledge graph, and task canvas.
Answers built from our own checks of this server.