Find how named entities like people, systems, or concepts connect in a channel's knowledge graph. Explore relationships between entities to understand their connections.
Apache 2.0
306,420 tools. Last updated 2026-07-26 23:08
"How to Query a Knowledge Graph Using an Ontology" matching MCP tools:
- Match and retrieve knowledge graph nodes based on a text query against names, types, and observations.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
- Query a knowledge graph for relationships and facts using natural language, entity, or relation type. Supports temporal queries and configurable graph depth.MIT
- Find the relationship chain connecting two companies or entities in the financial knowledge graph, showing intermediate connections up to a specified depth.MIT
Matching MCP Servers
- -license-quality-maintenanceA minimal MCP server with get_weather and create_ticket tools, used for testing MCP servers across protocol, unit, eval, transport, and auth layers.Last updated
- AlicenseAqualityCmaintenanceAn 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 updated610345875MIT
Matching MCP Connectors
Architecture-grounded query for AI agents. Governance constraints, system dependencies, evidence.
BPC Agentic Commerce Infra
- Search persistent memory using semantic similarity to retrieve relevant memories and related knowledge graph facts.MIT
- Retrieve an overview of a knowledge graph volume, showing all entities and their relationships.MIT
- Query the knowledge graph to find entities connected to a given entity, revealing relationships and dependencies within specified depth.MIT
- Search the CodeLogic knowledge graph to find symbols, dependencies, or relationships by text query or identity prefix.Mozilla Public 2.0
- Add new observations to existing entities in a knowledge graph to enrich structured data with additional details.MIT
- Remove a subject-predicate-object relationship from the knowledge graph by providing the triple ID. Receive a JSON confirmation of deletion.MIT
- Search a knowledge group for relevant documents using a query. Provide a group ID and search terms to retrieve matching results.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
- Explore the knowledge graph hierarchy from a starting node, viewing three levels of children to understand knowledge organization before searching or saving.MIT
- Query an AI Knowledge project with RAG to get LLM answers or retrieve document chunks as context.
- Explore the knowledge graph from a seed component to see how it connects to the rest of the app. Returns nodes and edges with configurable depth.MIT
- Examine a knowledge graph: retrieve ontology, schema, entity details, edges, history, state transitions, and conformance checks with as-of snapshots and paged results.Apache 2.0
- Create a directed relationship between two memories in the knowledge graph, choosing from seven relation types to structure knowledge.MIT
- Search a knowledge graph for matching nodes and traverse inbound/outbound neighbors within a set token budget. Requires prior indexing.MIT