Enables agents to query a fully offline, 66.7-million-character Xi'an local gazetteer knowledge base without internet access or API keys. Exposes tools for knowledge-base statistics, category and book listings, tables of contents, keyword full-text search, and full or chunked article retrieval, with complete hierarchical paths on every result.
A Model Context Protocol server that exposes Microsoft Edge browsing history across multiple profiles, allowing listing profiles and fetching history for a given day.
Read-only MCP access to the p-e relay store: an append-only corpus of provenance-bearing coordination records, with tools to fetch a record by id, list records and replies, and check existence. This image serves a snapshot frozen at build time; append_relay is listed but refused, and deposits to the live store require an HMAC-signed request.
Enables MCP clients to securely query databases, list tables, inspect table schemas, and test connections across Oracle, SQL Server, MySQL, PostgreSQL, and SQLite using read-only SQL tools.
A read-only MCP server that lets AI agents run safe, specialized analytics over an internet shop's SQLite database, covering customers, products, orders, and revenue. It exposes no generic SQL or write tools, so agents can answer questions without modifying data.
Read-only MySQL MCP server that lets AI agents list tables, describe schemas, and run SELECT/SHOW/EXPLAIN queries with a row cap, bound to a single database for safety.
A read-only MCP server for exploring and analyzing a Secoda data catalog, enabling AI chat, semantic search, glossary browsing, and data lineage tracing.
Converts SQL queries between different database dialects using the sqlglot library to ensure cross-system compatibility. It allows users to list supported dialects and transpile SQL code from one syntax to another through the Model Context Protocol.
A Model Context Protocol server that exposes Firebase Firestore and Authentication to AI agents, supporting multi-project configurations and read operations.
A TypeScript-based server to interact with ArangoDB using the Model Context Protocol, enabling database operations and integration with tools like Claude and VSCode extensions for streamlined data management.
Enables AI assistants to search YouTube videos using the official YouTube Data API v3, extract full video transcripts in multiple languages, and store/retrieve video summaries using a local database.
Provides a scalable knowledge graph implementation for Model Context Protocol using Elasticsearch, enabling AI models to store and query information with advanced search capabilities, memory-like behavior, and multi-zone architecture.
MCP server that allows Claude AI to interact directly with MySQL databases, enabling query execution and table information retrieval through natural language.
The server connects the Claude AI to the internet through the capabilites of the LSD SQL language, turning web data into a queryable database-like structure to interact with real-world data efficiently.