Search memory to retrieve related insights, hypotheses, and evidence from previous reasoning sessions, helping build on established connections and solutions.
MIT
127,390 tools. Last updated 2026-05-05 15:50
"Retrieving information from document directory with search and memory capabilities" matching MCP tools:
- Determine if the Aerospace MCP system is operational and ready to process flight planning requests by retrieving its status and capabilities.MIT
- Search and filter available API capabilities by domain or text to find providers for AI agents, returning provider counts and top provider information.MIT
- Batch add multiple files from a directory to memory with progress tracking, recursive options, and parallel processing capabilities.MIT
- Set up a memory bank directory and initialize standard markdown templates to store project context for AI assistants, ensuring persistent information across sessions.Apache 2.0
- Search the web with AI-powered capabilities to find information, analyze content with timelines and multiple perspectives, and filter results by date and type.MIT
Matching MCP Servers
- AlicenseCqualityCmaintenanceDeep directory tree visualization tool enabling efficient visualization of complex directory structures with AI-powered analysis capabilities.Last updated11214
- Alicense-qualityCmaintenancePersistent memory system for AI agents that records episodic memories with care-weighting and emotional valence, and provides full-text search with temporal chaining and automatic consolidation.Last updatedMIT
Matching MCP Connectors
AI memory with 56 tools. Knowledge Graph, semantic search, OAuth 2.1 + Magic Link. Free tier.
4 web-search tiers (x402 USDC on Base) - simple/medium/deep/cached. Free health.
- Search long-term memory nodes by keyword to retrieve stored information from graph-based storage with text matching capabilities.MIT
- Retrieve data rows from tables with filtering, sorting, and search capabilities to extract specific information from datasets.MIT
- Search for specific information within stored memory documents to retrieve relevant context for projects.
- Download and extract memory dumps from Joe Sandbox malware analysis for forensic investigation. Retrieves raw memory snapshots captured during execution and saves them to a local directory.MIT
- Initialize a local memory store for AI agents by creating a .rememb/ folder in your project directory. This setup enables persistent, sectioned memory with semantic search capabilities.MIT
- Retrieve complete Amazon Business API documentation content using document references from search results. Access full API references, implementation guides, and detailed endpoint information for integration development.Apache 2.0
- Search for text across the document body, footnotes, and comments with case-insensitive or regex matching. Returns matching paragraphs with identifiers and context.MIT
- Retrieve detailed memory information including timestamps, metadata, and categories using a specific memory ID from the Memsolus MCP Server.MIT
- Retrieve NWC capabilities and general information about the connected Lightning wallet and its underlying node.TypeScriptApache 2.0
- Retrieve and display all available memory libraries with metadata including library names, node counts, and modification dates for organized information access.MIT
- Retrieve document details including status, metadata, sender and signer information, form fields, and history from BoldSign by providing the document ID.MIT
- Retrieve all endpoints in the Search & Discovery category for cryptocurrency search, trending analysis, token discovery, new coin listings, and market-wide search capabilities.
- Begins a background file search using a wildcard pattern in a specified directory, returning a search ID. Retrieve results later with fc_get_search_results or stop with fc_stop_search.MIT
- Clear all data from the graph memory and rebuild indices in the RBT Document Editor. This irreversible operation deletes all graph data and should be used with caution.MIT