Stop re-explaining yourself to every AI agent. MIE gives all your agents — Claude, ChatGPT, Cursor, Gemini — a shared, persistent knowledge graph
Stop re-explaining yourself to every AI agent. MIE gives all your agents — Claude, ChatGPT, Cursor, Gemini — a shared, persistent knowledge graph they can read and
ollama pull nomic-embed-text MIE works without Ollama. You get exact-match search and graph traversal. Add Ollama for semantic search ("find things related to deployment" instead of exact keywords).Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
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 |
|---|---|
| mie_analyze | Surfaces related context before storing — the agent decides what's worth remembering |
| mie_store | Writes facts, decisions, entities, events, and relationships to the graph |
| mie_bulk_store | Batch store up to 50 nodes with cross-references — ideal for importing knowledge from files or git history |
| mie_get | Retrieve a single memory node by ID with full details |
| mie_query | Semantic search, exact lookup, or graph traversal across all node types |
| mie_list | List and filter nodes with pagination |
| mie_update | Invalidate outdated facts, update statuses — with full history preserved |
| mie_delete | Remove nodes with cascade (embedding + edges) or remove individual relationships |
| mie_conflicts | Detect contradictions in stored knowledge |
| mie_export | Export the full graph as JSON or Datalog |
| mie_repair | Rebuild HNSW indexes and clean orphaned embeddings |
| mie_status | Graph health, node counts, usage metrics |
{
"mcpServers": {
"mie": {
"command": "mie",
"args": [
"--mcp"
]
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
ollama pull nomic-embed-text MIE works without Ollama. You get exact-match search and graph traversal. Add Ollama for semantic search ("find things related to deployment" instead of exact keywords).Store entities, relations and observations in a local knowledge graph with the reference Memory MCP server.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
OA-first paper fetcher: DOIs/arXiv IDs to local PDFs + metadata via Open Access APIs.
Search, read, and edit any MediaWiki wiki. Works with Wikipedia, Fandom, and more.
Search and edit your company's FakeParrot wiki and run its workflows, as the signed-in employee.
Reliability intelligence: production incidents, risk register, controls catalog, knowledge graph.