Explore Agents

Interact with Twitter search and timeline

Python Streamable HTTP Server you can run locally to interact with [memvid](https://github.com/Olow304/memvid) storage and semantic search

Unified MCP server for email across Gmail (REST API), Outlook (Microsoft Graph), iCloud, and generic IMAP/SMTP. 24 tools for search, send, organize, and batch-manage emails with built-in OAuth2 and encrypted credential storage

Chroma MCP server to access local and cloud Chroma instances for retrieval capabilities

VikingDB integration with collection and index introduction, vector store and search capabilities

Pinecone integration with vector search capabilities

Production-ready MCP server for intelligent handling of large files with smart chunking, navigation, streaming capabilities, regex search, and built-in LRU caching

Official MCP server to interact with Docker Hub, providing access to repositories, hub search and Docker Hardened Images

Advanced filesystem operations with large file handling capabilities and Claude-optimized features. Provides fast file reading/writing, sequential reading for large files, directory operations, file search, and streaming writes with backup & recovery

Provides up-to-date documentation context for a specific Rust crate to LLMs via an MCP tool, using semantic search (embeddings) and LLM summarization

Official Next.js MCP server for coding agents. Provides runtime diagnostics, route inspection, dev server logs, docs search, and upgrade guides. Requires Next.js 16+ dev server for full runtime features

MCP server for comprehensive market and financial news search with advanced filtering by symbols, industries, countries, and date ranges

Self-hosted MCP server that indexes documentation from various sources and serves it to AI Agents with semantic search

Persistent, searchable context storage across Claude Code sessions using SQLite FTS5. Save sessions with AI-generated summaries, two-tier full-text search, checkpoint recovery, and a web dashboard

An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context

Three-layer memory system for agents (identity/active/archive) with semantic search, graph relationships, conflict detection, and LearningMachine. Built by an agent, for agents. No API keys required

Two-tier memory with hot cache (instant injection) and cold semantic search. Auto-promotes frequently-used patterns, extracts knowledge from Claude outputs, and organizes via knowledge graph relationships

An MCP server for nearby place searches with IP-based location detection

Geocoding MCP server for nominatim, ArcGIS, Bing

This is a Python-based MCP server that provides OpenAI `web_search` build-in tool