Provides long-term memory capabilities for Claude through persistent storage and full-text search of context across conversations. Enables storing, searching, and managing memories organized by categories like facts, preferences, projects, and goals.
Long-term memory MCP server for Claude Code with SQLite FTS5 full-text search, BM25 ranking, access tracking, and upsert deduplication. Zero config via npx.
Provides a tiered, persistent memory architecture for Claude to automatically capture and retrieve user preferences, facts, and conversation history across sessions. It supports semantic search and seamless integration with the Claude desktop application using the Model Context Protocol.
Enables music management through search, playlist creation, and intelligent recommendations. Supports searching by song, artist, or album, creating and managing playlists, and getting music recommendations based on genre and mood.
Cross-session WebFetch cache for Claude Code. Persists fetched docs across sessions via SQLite (7-day TTL) so the same URL+prompt in any new session is an instant cache hit instead of re-fetching
Persistent memory + FTS5 full-text search for Claude Code conversation history. Indexes ~/.claude/projects/ JSONL into SQLite, exposes 10 MCP tools (store/recall/search memories, browse sessions, get summaries) plus prompts. Includes a web UI for visual exploration
An MCP server that enables LLMs to pull-based search through Clawket's RAG repository for exploratory and conditional queries. It provides read-only access to search artifacts, tasks, and decisions via HTTP API.
All-in-one MCP toolkit with 29 tools across 5 modules: crypto prices, web utilities, social media, finance tracking, and productivity. MIT licensed.
Enables AI agents to manage Cloudera Data Visualization resources including groups, users, roles, segments, workspaces, datasets, visuals, connections, and migrations via natural language.
Provides read-only access to Iceberg tables via Apache Impala, enabling LLMs to inspect database schemas and execute SQL queries on Iceberg data.
Enables read-only access to Apache Iceberg tables via Impala, allowing LLMs to inspect database schemas and execute SQL queries to retrieve data from Iceberg tables.
Enables interaction with Cloudflare D1 databases through natural language by providing tools to list tables and execute SQL queries. Uses Cloudflare's REST API for lightweight database operations without requiring direct database connections.
A remote MCP server deployable on Cloudflare Workers that provides integrated Google OAuth authentication for secure tool access. It serves as a reference implementation for building persistent, authenticated MCP connections using Cloudflare Durable Objects and Streamable HTTP.
A deployable MCP server template for Cloudflare Workers that provides Google OAuth authentication and comprehensive analytics tracking of tool usage, performance metrics, and user behavior.
A production-ready MCP server that enables users to interact with PostgreSQL databases via natural language on Cloudflare Workers. It features GitHub OAuth for role-based access control, allowing for secure schema discovery, data querying, and write operations.
Enables verification of natural language claims against CME prediction market data, with tools to query historical trading data, get contract information, and automatically verify claims using NLP-powered parsing.
An MCP server for searching Chinese academic papers and core journal information across multiple free platforms like Baidu Scholar and the National Center for Philosophy and Social Sciences. It enables users to retrieve metadata for social science and STEM research papers without requiring API keys.
MCP server for Cochl
Enables natural language search for cocktail recipes and ingredient information through TheCocktailDB API. Supports searching by cocktail name, ingredient, category, or alcohol content to discover recipes and recommendations.
Enables management of Google Maps saved places through a SQLite database. Allows users to store, query, and organize their Google Maps places data locally.
