Retrieve detailed information about a PDF search session using the session ID from a previous search operation.

Search through agent memory to retrieve relevant information using semantic similarity matching. Specify queries to find stored data with configurable relevance thresholds and result limits.

Search persistent memory to retrieve relevant facts for AI applications, enabling quick access to stored information.

Search for specific information within stored memory documents to retrieve relevant context for projects.

Search official Zig programming language documentation to find information about language features, standard library functions, memory management, error handling, and build system details.

Display memory index metrics including corpus size, search pipeline status, usage statistics, and embedding worker state for persistent conversation storage.

Retrieve detailed information about all Proxmox cluster nodes including CPU, memory resources, running VM counts, and uptime status.

Retrieve and display all available memory libraries with metadata including library names, node counts, and modification dates for organized information access.

Store project information in memory for future reference, enabling efficient codebase navigation and task continuity within the Serena toolkit.

Store project information in markdown format for future reference. Create meaningful memory files to retain useful data across tasks.

Search memory bank entries using query strings to retrieve matching data in JSON format, enabling efficient information recall within security protocols.

Open and display information from memory files to access stored data for AI agent operations.

Search memory files using hybrid, lexical, or vector methods to retrieve relevant information from stored data.

Find information about entities by searching memory files with specific queries to retrieve relevant data.

Retrieve system information including platform, CPU, memory, and uptime details for monitoring and troubleshooting purposes.

Retrieve statistics about the MidOS memory system, including LanceDB chunk data and cache status information for monitoring and analysis.

Search for entities in your knowledge graph memory using semantic meaning and vector similarity to find relevant information based on conceptual relationships.

Retrieve details about the active memory library, including its name, node count, sessions, and metadata for enhanced reasoning workflows.

Retrieve detailed flight information including segments, pricing, and baggage details for a specific flight option from search results.

Search long-term memory nodes by keyword to retrieve stored information from graph-based storage with text matching capabilities.

Retrieve detailed virtual machine information including state, operating system, CPU, memory, IP address, disk usage, and other specifications for BSD/Illumos VMs.

Search the web for information to answer queries, providing access to current online data through the Tavily API for educational demonstrations.

Search the web for information using a query, retrieving results from the internet through the Tavily API with Polygon integration.

Search the web for information to answer queries and retrieve relevant online data through natural language requests.

Search the web for information using natural language queries to find relevant data and answers through the Tavily API.

Search Vega-Lite documentation to find information about charts, encodings, marks, and visualization specifications.

Retrieve detailed information about a specific Meilisearch index, including its configuration and statistics, to manage search functionality effectively.

Search process memory for specific hex patterns or strings to identify and analyze data structures during mobile security testing.

Retrieve detailed information about a specific sitemap from Google Search Console to analyze its structure and status.

Retrieve site property details from Google Search Console to access search analytics, sitemap data, and indexing information for a specific URL.

Search for specific strings within process memory using pattern matching and wildcards to analyze application data during runtime.

Find relevant information from memory collections by entering a search query to retrieve context for AI coding tasks.

Search stored AI memories using text queries, vector similarity, memory types, importance levels, and date ranges to retrieve relevant information.

Search long-term memory to retrieve stored information using queries. This tool helps users find past data and insights within the Orchestrator MCP Server's memory system.

Search the web to gather country information for creating detailed profiles with embedded images and credits.

Search for and retrieve detailed information about a specific paper using its unique ID. Delivers results in JSON format, including an error message if the paper is not found.

Search the web for information using natural language queries to find answers and data from the internet.

Search stored memories using text queries, vector similarity, date ranges, importance levels, and memory type filters to retrieve relevant information.

Perform real-time web searches to retrieve up-to-date information, news, blogs, or details about companies, products, events, or people. Configure results by language, region, domains, or result type for precise data retrieval.

Search agent memory files using natural language queries to find relevant information with TF-IDF ranking. Retrieve matching sections with relevance scores for efficient context retrieval.

Remove outdated or incorrect memory files from Serena's coding toolkit when users explicitly request deletion to maintain accurate project information.

Permanently delete outdated or incorrect information from persistent memory using semantic search. Remove superseded data when user requests or when stored memories become inaccurate.

Search a semantic memory graph using natural language queries to find relevant information and discover connected context through graph traversal.

Search UAB Research Computing documentation to find information about Cheaha HPC cluster usage, policies, software tools, storage systems, and support resources.

Retrieve detailed memory information including timestamps, metadata, and categories using a specific memory ID from the Memsolus MCP Server.

Store information like facts, preferences, or events in MemoVault's long-term memory system for persistence across sessions.

Remove outdated or incorrect information from Serena's memory files when users request deletion to maintain accurate project data.

Search stored memories using natural language queries, balancing semantic relevance with memory freshness and importance. Returns both private and team memories when configured.

Retrieve detailed content from specific memory sections to examine high-scoring search results, enabling thorough analysis of stored information.

Search the web for current information, news, articles, and websites to find up-to-date content, research topics, or answer questions about recent events.

Retrieve detailed information about a specific AI agent session for debugging, performance tracking, and LLM usage analysis.