ralph-hero-mcp-server
MCP server for GitHub Projects V2 - Ralph workflow automation
Versions
2.6.1latest2.6.02.5.2042.5.2032.5.202+ show 140 moreshow less
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knowledge_communities Detect document communities using Louvain algorithm. Returns clusters of related documents with modularity score.
knowledge_community Fetch a single community by ID from Louvain detection. Returns the community
knowledge_central Rank documents by PageRank (importance). Returns top documents by incoming citation weight. Isolated nodes (no edges) receive a score of 0 and rank last.
knowledge_bridges Find bridge documents that connect different topic clusters. Uses betweenness centrality on an undirected graph. Nodes with score 0 are excluded (they are not bridges).
knowledge_paths Find all simple paths between two documents in the knowledge graph (max 20, direction-agnostic). Uses DFS with cycle prevention.
knowledge_common Find documents that both docA and docB are connected to (shared neighbors). Returns enriched entries with relationship types.
knowledge_subgraph Extract an N-hop neighborhood subgraph around a document. Returns deduplicated nodes and edges with distance from root.
knowledge_search Search the knowledge base by keyword, semantic similarity, and tags. Returns ranked documents.
knowledge_recall Role-aware retrieval over the knowledge base. Fans out one rerank-enabled hybrid.search() per memory tier in the role
knowledge_think Query-time synthesis over the knowledge base. Retrieves the top-K grounding excerpts for a question, then asks the local model to synthesize a CITED answer grounded only in them, plus an explicit report of what the knowledge base does NOT contain (gaps). Use when you want a synthesized, sourced answer instead of a raw result list. Fail-open: returns retrieved sources even when the local model is offline.
knowledge_remember Persist a piece of text as a raw memory under ~/projects/thoughts/dream-memories/agent/YYYY/MM/DD/<source>-<hash12>.md and incrementally reindex it. Use this to record agent observations, decisions, or context worth recalling in a future session. Tier defaults to
knowledge_traverse Walk typed and untyped relationship edges from a document.
knowledge_memory_stats Return counts of documents by memory_tier plus chunk percentiles and last-reflection timestamp. Used by the dream-loop to confirm ingest/reflection completion.
knowledge_record_outcome Record a pipeline outcome event (research, plan, phase, validation, etc.)
knowledge_query_outcomes Query outcome events with optional aggregation. Use to find patterns in pipeline history.
knowledge_expert Return a domain-keyed memory bundle: curated wiki entries + recent reflections + prior outcomes for a named domain. Use to specialize a sub-agent
Permissions 5
network medium filesystem low shell high database medium env_vars low Scan Findings 0
No scan findings.