"Exploration of Memory Concepts and Applications" matching MCP tools:

• search_datasets

  Nova Scotia Data Explorer

  Search the Nova Scotia Open Data catalog (data.novascotia.ca) for datasets by keyword, category, or tag. Returns dataset names, IDs, descriptions, column names, and direct portal links. Use list_categories first to see valid category and tag names. Use the returned dataset ID with query_dataset or get_dataset_metadata for further exploration.

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• search_datasets

  Nova Scotia Data Explorer

  Search the Nova Scotia Open Data catalog (data.novascotia.ca) for datasets by keyword, category, or tag. Returns dataset names, IDs, descriptions, column names, and direct portal links. Use list_categories first to see valid category and tag names. Use the returned dataset ID with query_dataset or get_dataset_metadata for further exploration.

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• list_memories

  Toolora MCP Server

  Use this tool to discover what has been saved in memory — e.g. at the start of a session, or when the user asks 'what have you saved?' or 'show me my memories'. Returns all saved memory keys with their preview, save date, and expiry. Optionally filter by a prefix (e.g. 'project-' to list only project memories). Pair with recall_memory to fetch the full content of any key.

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• planning_search

  UK Property Data

  Find the planning portal URL for a UK postcode. Returns council info and portal search URLs. Does not scrape planning applications -- use the returned URLs to search directly.

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• resolve_topic

  Pine Script

  Fast lookup for exact Pine Script API terms and known concepts. Use for exact function names and Pine Script vocabulary (e.g., "ta.rsi", "strategy.entry", "repainting", "request.security"). For natural language questions, read the docs://manifest resource for routing guidance, then use get_doc() or list_sections() + get_section().

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• get_listing_applications

  Human Pages

  View applications for your listing. Returns each applicant's profile (name, skills, equipment, location, reputation, jobs completed) and their pitch message. Use this to evaluate candidates, then hire with make_listing_offer. Only the listing creator can view applications.

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• thinkneo_read_memory

  ThinkNEO Control Plane

  Read Claude Code project memory files. Without arguments, returns the MEMORY.md index listing all available memories. With a filename argument, returns the full content of that specific memory file. Use this to access project context, user preferences, feedback, and reference notes persisted across Claude Code sessions.

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• batch_search

  ALM X++ MCP Server

  WHEN: you need context on multiple D365 objects or concepts simultaneously -- runs all queries in parallel. Use INSTEAD of multiple sequential search_d365_code calls -- each line becomes one parallel search. Maximum 6 queries per call. Results are equivalent to search_d365_code but returned together. When batch_search returns results, all matching objects are FULLY loaded (all chunks). Do NOT follow up with get_object_details on the same objects -- the complete source is already included. Triggers: 'find all of these', 'look up multiple', 'cherche plusieurs', 'SalesTable AND VendTable', 'several objects at once', 'lookup X and Y and Z', 'plusieurs objets en même temps', 'context on all of these'.

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• bulk_create_graph_relationships

  RationalBloks

  Create multiple relationships at once (up to 500 per call). Uses Neo4j UNWIND for high performance. Essential for connecting knowledge — link hundreds of concepts, people, and events in one operation. Each relationship needs: from_id, to_id, and optional data (properties). Example: rel_type: "related_to" relationships: [ {"from_id": "quantum-mechanics-001", "to_id": "wave-function-001", "data": {"strength": "strong"}}, {"from_id": "quantum-mechanics-001", "to_id": "superposition-001", "data": {"strength": "strong"}} ]

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• fda_search_debarments

  FDA Data MCP

  Search current FDA debarment lists across drug applications, drug imports, and food imports. These are rare but very high-severity compliance signals for people or firms barred from certain FDA-regulated activities.

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• web_search

  qsearch

  Search the web via Brave Search API with local QVAC LLM cleaning. Returns cleaned markdown summaries. Use for general web research, factual lookups, and topic exploration.

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• cancel_listing

  Human Pages

  Cancel an open listing. All pending applications will be rejected. Only the agent who created the listing can cancel it.

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• reporting_guide

  Senzing

  Guided reporting and visualization for Senzing entity resolution results. Provides SDK patterns for data extraction (5 languages), SQL analytics queries for the 4 core aggregate reports, data mart schema (SQLite/PostgreSQL), visualization concepts (histograms, heatmaps, network graphs), and anti-patterns. Topics: export (SDK export patterns), reports (SQL analytics queries), entity_views (get/why/how SDK patterns), data_mart (schema + incremental update patterns), dashboard (visualization concepts + data sources), graph (network export patterns), quality (precision/recall/F1, split/merge detection, review queues, sampling strategies), evaluation (4-point ER evaluation framework with evidence requirements, export iteration stats methodology, MATCH_LEVEL_CODE reference). Returns decision trees when language/scale not specified.

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• list_memories

  Toolora

  Use this tool to discover what has been saved in memory — e.g. at the start of a session, or when the user asks 'what have you saved?' or 'show me my memories'. Returns all saved memory keys with their preview, save date, and expiry. Optionally filter by a prefix (e.g. 'project-' to list only project memories). Pair with recall_memory to fetch the full content of any key.

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• em_get_my_tasks

  execution-market-mcp

  Get your assigned tasks, pending applications, and recent submissions. Use this to see: - Tasks assigned to you (in progress) - Pending applications waiting for agent approval - Recent submissions and their verdict status - Summary of your activity Args: params (GetMyTasksInput): Validated input parameters containing: - executor_id (str): Your executor ID - status (TaskStatus): Optional filter by task status - include_applications (bool): Include pending applications (default: True) - limit (int): Max results (default: 20) - response_format (ResponseFormat): markdown or json Returns: str: Your tasks and applications in requested format.

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• delete_memory

  lawmem-ai/lawmem-mcp

  Permanently delete a stored memory by its UUID. This is a hard delete for GDPR right-to-erasure compliance. The memory is removed from both the vector store and the database. This action cannot be undone.

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• em_get_my_tasks

  Execution Market

  Get your assigned tasks, pending applications, and recent submissions. Use this to see: - Tasks assigned to you (in progress) - Pending applications waiting for agent approval - Recent submissions and their verdict status - Summary of your activity Args: params (GetMyTasksInput): Validated input parameters containing: - executor_id (str): Your executor ID - status (TaskStatus): Optional filter by task status - include_applications (bool): Include pending applications (default: True) - limit (int): Max results (default: 20) - response_format (ResponseFormat): markdown or json Returns: str: Your tasks and applications in requested format.

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• scholarfetch_search

  ScholarFetch

  Start a research traversal from keywords, a DOI, or a person name. Returns deduplicated paper records that you can inspect, save, expand through references, or use as seeds for author exploration. If you pass `engines`, use a comma-separated subset of: elsevier, openalex, crossref, arxiv, europepmc, springer, semanticscholar.

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• hash_text

  Toolora

  Use this tool to generate a cryptographic hash of any text or data string. Triggers: 'hash this string', 'get the SHA256 of this', 'create a checksum', 'fingerprint this content', 'verify the integrity'. Supports MD5, SHA-1, SHA-256, SHA-512. Returns hex-encoded hash and the algorithm used. Use SHA-256 or SHA-512 for security-sensitive applications.

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• get_application_stats

  JobGPT

  Get aggregated stats for your job applications — total counts by status and auto-apply metrics. Much faster than paginating through list_applications.

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