Find the relationship chain connecting two companies or entities in the financial knowledge graph, showing intermediate connections up to a specified depth.
MIT
134,306 tools. Last updated 2026-05-25 19:04
"How to Query a Knowledge Graph Using an Ontology" matching MCP tools:
- Query ODEI's constitutional knowledge graph to explore structured domains, find specific entities, and understand connections between goals and execution.
- Access and retrieve the entire knowledge graph stored in the Knowledge Graph Memory Server to maintain persistent user information across interactions.MIT
- Remove specified relations between entities in a knowledge graph to update and maintain accurate, organized memory storage for user interactions.MIT
- Query nodes in the MCP Memory Server's knowledge graph to match entity names, types, and observation content, enabling precise information retrieval for LLMs.MIT
- Find nodes in the knowledge graph by matching names, types, or content with your search query, enabling precise information retrieval across chats.MIT
Matching MCP Servers
- AlicenseAqualityBmaintenanceAn improved implementation of persistent memory using a local knowledge graph with a customizable --memory-path. This lets Claude remember information about the user across chats.Last updated10374862MIT
- AlicenseAqualityCmaintenanceEnables creating, managing, analyzing, and visualizing knowledge graphs with support for multiple graph types (topology, timelines, changelogs, requirements, knowledge bases, ontologies) including node/edge management and resource association.Last updated1531MIT
Matching MCP Connectors
The Graph MCP — indexed blockchain data via subgraph GraphQL queries
The AWS Knowledge MCP server is a fully managed remote Model Context Protocol server that provides real-time access to official AWS content in an LLM-compatible format. It offers structured access to AWS documentation, code samples, blog posts, What's New announcements, Well-Architected best practices, and regional availability information for AWS APIs and CloudFormation resources. Key capabilities include searching and reading documentation in markdown format, getting content recommendations, listing AWS regions, and checking regional availability for services and features.
- Add multiple entities to the knowledge graph, specifying name, type, and associated observations, to enhance memory storage in the Knowledge Graph Memory Server.MIT
- Verify server health and assess knowledge graph scope by checking database connectivity, pipeline status, and statistical metrics like concept and relationship counts.AGPL 3.0
- Remove all data from the Neo4j knowledge graph to reset memory storage and entity relationships.MIT
- Create a directed relationship between two memories in the knowledge graph, choosing from seven relation types to structure knowledge.MIT
- Retrieve a minimal context pack for a query by using the knowledge graph as an index. Reads only the smallest relevant slices of Memory Bank files, avoiding full document dumps. Ideal for targeted questions.MIT
- Retrieve all unique memory labels with their counts to gain an overview of the knowledge graph structure.MIT
- Link a knowledge graph entity to a Memory Bank file (and optional heading) to enable targeted context retrieval and accurate file excerpts for queries.MIT
- Perform semantic search over an ontology using natural language queries to find classes by text meaning, structural position, or both.MIT
- Search entities or topics in a Neo4j knowledge graph using substring matching on names or IDs. Enter a query to retrieve relevant nodes.MIT
- Clears all triples from the in-memory ontology store to reset the knowledge graph for fresh updates.MIT
- Retrieve the complete knowledge graph for a project, including all entities, relations, and observations stored in memory.MIT
- Export memories to an interactive HTML knowledge graph with force-directed visualization for exploring your memory network.MIT
- Query a universal knowledge graph to retrieve facts, entities, recent episodes, and contradictions. Use result_kind to control payload size and scope filters for plan, goal, or node.MIT
- Link two memory entries with a named relation to build a traversable knowledge graph. Specify source, target, and relation type.MIT