normalize_observations

MCP tool from Memory MCP by danielsimonjr

Normalize observations (resolve pronouns, anchor dates)

How to use it

Project documentation lists normalize_observations for the Memory MCP MCP server. Add the server to your MCP client (Claude Desktop, Cursor, Windsurf and others), then check which tools your installed version makes available. Tool availability can depend on configuration and credentials. A server handshake does not verify this tool’s behavior. See the full listing for setup details.

Install Memory MCP

$mcp-server-memory
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Other tools in Memory MCP (39)

add_observations

Add observations to entities

add_tag_alias

Create tag synonym

add_tags

Add tags to an entity

add_tags_to_multiple_entities

Bulk tag operation

analyze_query

Extract entities, temporal references, and classify query complexity

boolean_search

Boolean queries (AND/OR/NOT)

create_entities

Create multiple new entities

create_relations

Create relations between entities

delete_entities

Remove entities and their relations

delete_observations

Remove specific observations

delete_relations

Remove specific relations

delete_saved_search

Delete a saved search

execute_saved_search

Execute a saved search

find_similar_entities

Find entities similar to a reference entity

fuzzy_search

Typo-tolerant search

get_aliases_for_tag

Get aliases for canonical tag

get_children

Get immediate children

get_search_suggestions

"Did you mean?" suggestions

hybrid_search

Multi-layer search combining semantic, lexical, and symbolic signals

index_embeddings

Build or rebuild the semantic search index

list_saved_searches

List all saved searches

list_tag_aliases

List all aliases

merge_tags

Merge two tags into one

open_nodes

Retrieve specific nodes by name

read_graph

Read entire knowledge graph

remove_tag_alias

Remove an alias

remove_tags

Remove tags from an entity

replace_tag

Replace tag globally

resolve_tag

Resolve alias to canonical form

save_search

Save search query for reuse

search_auto

Auto-select best search method

search_by_date_range

Filter by date range

search_nodes

Search with filters (tags, importance)

search_nodes_ranked

TF-IDF relevance ranking

semantic_search

Search by semantic similarity using embeddings

set_entity_parent

Set/remove parent relationship

set_importance

Set entity importance (0-10)

smart_search

Reflection-based iterative search until results meet adequacy threshold

update_saved_search

Update saved search parameters