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.
Give your AI agent the entire China A-share market: 55 datasets of prices, financials, capital flows, corporate events and futures/options, stored locally and queryable with read-only SQL. Built point-in-time with delisted stocks kept, so backtests don't lie — no account, no API key.
Search, filter, and sample over a million competition and olympiad math problems (AMC, AIME, IMO, Putnam, MATH, Omni-MATH) by topic, contest, year, and difficulty, and fetch any problem's LaTeX statement with its answer, hints, and solutions where available.
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.
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.
Enables an AI client to search Australian federal and South Australian government open data catalogues, inspect a dataset file's schema and sample rows, then run read-only SQL over the full file in a sandboxed DuckDB. Every answer carries the source URL, publisher and licence, with extra tools for ABN checksum validation and Australian financial-year dates.
Enables secure access to Oracle databases with fine-grained access control, supporting multiple databases simultaneously with configurable access modes (readonly/readwrite/full) and table-level permissions for safe query execution and data management.
Provides access to MySQL databases with fine-grained access control, supporting multiple databases simultaneously with configurable access modes (readonly, readwrite, full) and table-level permissions using whitelists, blacklists, wildcards, and regex patterns.
A Model Context Protocol server that exposes Firebase Firestore and Authentication to AI agents, supporting multi-project configurations and read operations.
MCP server that allows Claude AI to interact directly with MySQL databases, enabling query execution and table information retrieval through natural language.
Enables querying S&P 500 constituent data from Supabase through MCP tools for company fundamentals, annual financial metrics, historical OHLCV price rows, news with sentiment filtering, executive officers and compensation, and SEC filing history. Ships a Next.js web app plus embedded MCP App UI resources, with elicitation-based disambiguation for ambiguous company names and sampling support.
Enables full read-write access to PostgreSQL databases with transaction management and safety controls, allowing LLMs to query and modify database content.
Enables AI clients to securely interact with Oracle databases using natural-language prompts, translating requests into structured queries and returning results for AI-powered data access.
Enables AI clients to interact with PostgreSQL databases through natural language, translating requests into structured queries and returning results via a secure self-hosted server.
Provides LLMs with persistent memory across conversations using a knowledge graph that stores entities, relationships, and observations with support for PostgreSQL or SQLite backends.
Enables LLMs to safely perform sandboxed file operations, evaluate math expressions, and run read-only SQL queries on a sample database, plus access resources and prompt templates.
A server that enables document searching using Vertex AI with Gemini grounding, improving search results by grounding responses in private data stored in Vertex AI Datastore.