Retrieve entities from your knowledge graph with optional type filtering and pagination.
MIT
314,038 tools. Last updated 2026-07-28 10:56
"Using Cline as a Knowledge Graph for Coding" matching MCP tools:
- Retrieves matching nodes and snippets from a knowledge graph by combining lexical, dense, and graph signals into a ranked list.MIT
- Answer factual questions from a shared knowledge graph, grounded in evidence with citations. Abstains when the graph lacks knowledge.MIT
- List entities in the knowledge graph, optionally filtered by type, to obtain an overview or entity names for graph queries. Supports D3-compatible JSON output.MIT
- Delete a knowledge graph entity and remove all triples where it appears as subject or object.MIT
- Search and list entities from a knowledge graph, filtered by type such as people or organizations, for inquiries about known subjects.MIT
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- Query a knowledge graph for relationships and facts using natural language, entity, or relation type. Supports temporal queries and configurable graph depth.MIT
- Search persistent memory using semantic similarity to retrieve relevant memories and related knowledge graph facts.MIT
- Search for entities in the knowledge graph by matching names to find people, projects, concepts, and more.MIT
- Retrieve an overview of a knowledge graph volume, showing all entities and their relationships.MIT
- Delete multiple relations from a knowledge graph by specifying the source entity, target entity, and relation type for each relation.MIT
- Remove a subject-predicate-object relationship from the knowledge graph by providing the triple ID. Receive a JSON confirmation of deletion.MIT
- Retrieve the project's knowledge graph as JSON, showing nodes, edges, clusters, and dependency cycles to analyze structural dependencies.MIT
- Record persistent project knowledge—like architecture or conventions—that outlives a single session and forms a knowledge graph via wiki-links.MIT
- Relate two existing memories by creating a directed edge with a semantic label (e.g., 'depends_on'). This builds a navigable knowledge graph for traversal and visualization.AGPL 3.0
- Find related memories by combining knowledge graph traversal with semantic similarity, enabling discovery of associations between memory entries.MIT
- Browse all concepts in an architecture knowledge graph to identify patterns for multi-agent system reviews. Filter by name or include definitions as needed.AGPL 3.0
- Create a directed relationship between two memories in the knowledge graph, choosing from seven relation types to structure knowledge.MIT
- Get schema details of a knowledge graph, including node labels and relationship types.Apache 2.0
- Add nodes to knowledge graphs for organizing components, events, requirements, or concepts. Supports multiple graph types including topology, timelines, and knowledge bases.MIT