ghostcrab-personal-mcp

Audit gaps between a natural-language GhostCrab question and evidence available through MCP on a SQLite workspace. Use when a projection is missing, a Type A contract exists without evidence, required facets or graph edges are not verified, a Type B snapshot is absent, an MCP tool fails, or the user asks what to add to make an operational answer reliable.

Review GhostCrab projections and explain purpose, readiness, required dimensions, facets, edges, and limits. Use for projection scope review, Type A contracts, Type B snapshots, or readiness on a Personal workspace.

Audit gaps between a natural-language GhostCrab question and evidence available through MCP on a SQLite workspace. Use when a projection is missing, a Type A contract exists without evidence, required facets or graph edges are not verified, a Type B snapshot is absent, an MCP tool fails, or the user asks what to add to make an operational answer reliable.

Review GhostCrab projections and explain purpose, readiness, required dimensions, facets, edges, and limits. Use for projection scope review, Type A contracts, Type B snapshots, or readiness on a Personal workspace.

Transform GhostCrab/MindBrain materialized projection responses into visual, presentation-ready reports with KPI cards, timelines, deltas, heatmaps, evidence tables, provenance, and recommendations. Use when a user wants a projection report to be clearer, more narrative, more visual, or demo-ready.

Audit gaps between a natural-language GhostCrab question and evidence available through MCP on a SQLite workspace. Use when a projection is missing, a Type A contract exists without evidence, required facets or graph edges are not verified, a Type B snapshot is absent, an MCP tool fails, or the user asks what to add to make an operational answer reliable.

Review GhostCrab projections and explain purpose, readiness, required dimensions, facets, edges, and limits. Use for projection scope review, Type A contracts, Type B snapshots, or readiness on a Personal workspace.

Use when designing or extending a GhostCrab-backed domain model without freezing a canonical schema too early.

Discover which GhostCrab dimensions, facets, graph edges, projections, and evidence paths can support a natural-language answer via MCP. Use when a projection contract is not enough, when the user asks what data exists, or how to move from a business question to evidence-backed JSON.

Build stable JSON answers from GhostCrab MCP outputs for Personal workspaces. Use when the user wants JSON, API-ready payloads, or structured answers separating observed data, inference, missing evidence, and MCP tools used.

Convert natural-language business or operations questions into deterministic GhostCrab MCP workflows on Personal SQLite workspaces. Use for status, review, risk analysis, or "what exists / what can answer this" when the user does not know projection, facet, or graph jargon.

Use when a user needs help turning plain-language goals into strong GhostCrab prompts.

Use when designing or extending a GhostCrab-backed domain model without freezing a canonical schema too early.

Discover which GhostCrab dimensions, facets, graph edges, projections, and evidence paths can support a natural-language answer via MCP. Use when a projection contract is not enough, when the user asks what data exists, or how to move from a business question to evidence-backed JSON.

Build stable JSON answers from GhostCrab MCP outputs for Personal workspaces. Use when the user wants JSON, API-ready payloads, or structured answers separating observed data, inference, missing evidence, and MCP tools used.

Convert natural-language business or operations questions into deterministic GhostCrab MCP workflows on Personal SQLite workspaces. Use for status, review, risk analysis, or "what exists / what can answer this" when the user does not know projection, facet, or graph jargon.

Use when a user needs help turning plain-language goals into strong GhostCrab prompts.

Use when designing or extending a GhostCrab-backed domain model without freezing a canonical schema too early.

Discover which GhostCrab dimensions, facets, graph edges, projections, and evidence paths can support a natural-language answer via MCP. Use when a projection contract is not enough, when the user asks what data exists, or how to move from a business question to evidence-backed JSON.

Build stable JSON answers from GhostCrab MCP outputs for Personal workspaces. Use when the user wants JSON, API-ready payloads, or structured answers separating observed data, inference, missing evidence, and MCP tools used.

Convert natural-language business or operations questions into deterministic GhostCrab MCP workflows on Personal SQLite workspaces. Use for status, review, risk analysis, or "what exists / what can answer this" when the user does not know projection, facet, or graph jargon.

Use when a user needs help turning plain-language goals into strong GhostCrab prompts.

Interpret AI Act projection JSON from GhostCrab MCP (ghostcrab_projection_get or exported rows) into precise human-facing compliance answers. Use when rendering ai-act obligation_cascade, penalty_path, exemption_surface, or sector_risk_profile results, especially for demos where every answer must be cited, scoped, and faithful to the returned rows.

Use when editing GhostCrab/MindBrain integration SOP Markdown exports from Perplexity, especially to replace the generated prompt-like opening with a clean framework introduction, official framework context, MindBrain definition, and integration benefit while preserving the technical body.

Use when GhostCrab should hold durable working memory for coding, blockers, follow-up, long-running delivery, integrations, or fuzzy tracking requests.

Use when drafting, rewriting, or planning comparison articles that position MindBrain or GhostCrab against AI memory tools, personal knowledge graphs, knowledge graph memory systems, agent frameworks with memory, PKM tools, or ontology tools. Trigger for articles such as GBrain vs MindBrain, Mem0 vs MindBrain, Zep vs MindBrain, Cognee vs MindBrain, Letta vs MindBrain, LangChain Memory vs MindBrain, LlamaIndex vs MindBrain, Hermes memory vs MindBrain, Obsidian AI vs MindBrain, or Protege/TopBraid vs MindBrain.

Use when editing GhostCrab/MindBrain integration SOP Markdown exports from Perplexity, especially to replace the generated prompt-like opening with a clean framework introduction, official framework context, MindBrain definition, and integration benefit while preserving the technical body.

Use when GhostCrab should hold durable working memory for coding, blockers, follow-up, long-running delivery, integrations, or fuzzy tracking requests.

Use when drafting, rewriting, or planning comparison articles that position MindBrain or GhostCrab against AI memory tools, personal knowledge graphs, knowledge graph memory systems, agent frameworks with memory, PKM tools, or ontology tools. Trigger for articles such as GBrain vs MindBrain, Mem0 vs MindBrain, Zep vs MindBrain, Cognee vs MindBrain, Letta vs MindBrain, LangChain Memory vs MindBrain, LlamaIndex vs MindBrain, Hermes memory vs MindBrain, Obsidian AI vs MindBrain, or Protege/TopBraid vs MindBrain.

Use when GhostCrab should hold durable working memory for coding, blockers, follow-up, long-running delivery, integrations, or fuzzy tracking requests.

Use when drafting, rewriting, or planning comparison articles that position MindBrain or GhostCrab against AI memory tools, personal knowledge graphs, knowledge graph memory systems, agent frameworks with memory, PKM tools, or ontology tools. Trigger for articles such as GBrain vs MindBrain, Mem0 vs MindBrain, Zep vs MindBrain, Cognee vs MindBrain, Letta vs MindBrain, LangChain Memory vs MindBrain, LlamaIndex vs MindBrain, Hermes memory vs MindBrain, Obsidian AI vs MindBrain, or Protege/TopBraid vs MindBrain.

Use when an agent has access to GhostCrab MCP and needs durable project memory, onboarding capture, context lookup, relationship tracking, or handoff continuity across sessions. Adapt this template to the target agent's skill, rule, or profile format.

Use the GhostCrab MCP server as persistent memory and epistemic support.