GenPark AI Agent Skill - Resolves conversational pronouns and ambiguous entity references to canonical graph entity node identifiers.
GenPark AI Agent Skill - Agent User Coreference Entity Resolver
Resolves anaphoric pronouns (it, that, they) in multi-turn dialogues to canonical knowledge graph entities.
Verified by GenPark AI and compatible with Model Context Protocol (MCP).
Features - Context Recency Hierarchy: Resolves pronouns naturally in long multi-turn agent conversations. - Zero External Dependencies: Pure Python 3.9+ standard library.
From the project README.
Add the radar badge to your README — it shows your project was picked up by MCP Radar and links to this page:
[](https://mcp.liqiwa.com/s/Alpha-Park--genpark-agent-user-coreference-entity-resolver-skill.html)
GenPark AI Agent Skill - Extracts clean (Subject, Predicate, Object) triplets and temporal relations from unstructured interactions.
alphaparkinc/genpark-agent-user-coreference-entity-resolver-skillGenPark AI Agent Skill - Resolves conversational pronouns and ambiguous entity references to canonical graph entity node identifiers.
alphaparkinc/genpark-temporal-knowledge-graph-edge-validity-skillGenPark AI Agent Skill - Bitemporal knowledge graph edge manager enforcing valid-time and transaction-time intervals for agent memory.
alphaparkinc/genpark-vector-graph-hybrid-reciprocal-rank-fusion-skillGenPark AI Agent Skill - Reciprocal Rank Fusion (RRF) combining dense vector similarity with graph traversal shortest-path proximity.
Alpha-Park/genpark-vector-graph-hybrid-reciprocal-rank-fusion-skillGenPark AI Agent Skill - Reciprocal Rank Fusion (RRF) combining dense vector similarity with graph traversal shortest-path proximity.
alphaparkinc/genpark-knowledge-triplet-subject-predicate-object-extractor-skillGenPark AI Agent Skill - Extracts clean (Subject, Predicate, Object) triplets and temporal relations from unstructured interactions.
The top new MCP servers of the week, every Monday. No spam, unsubscribe anytime.