Базы данных

Decision intelligence MCP server with 19 algorithms (bandits, Monte Carlo, constraint optimization, forecasting, anomaly detection, risk analysis, graph algorithms), 28 MCP tools. Install via

Integrate AI assistants with Overseerr and the Seerr (the unified successor) for automated media discovery, requests, and management in Plex, Jellyfin, and Emby ecosystems

Real-time news with tone analysis, brand safety, and narrative shift signals for AI agents

Deterministic semantic word encoding and valence/sentiment analysis using 145K+ word lexicon. Provides word-to-code mapping, semantic similarity, synonym/antonym lookup with zero runtime NLP dependencies

Search products and stores in nearby physical stores. Find what you need locally instead of waiting for delivery. Remote MCP server (Streamable HTTP, no API key required)

MCP server for patent search and prior art discovery powered by Google Patents public dataset on BigQuery. Tools: search patents, get full patent details with CPC codes and citations, fetch legal claims text. Free to use

Agent-operable ML experiment contract (cq.yaml + JSON contracts) with a built-in MCP server exposing 14 tools (resolve/inspect/run/validate/describe/compare/lineage) for running, validating, and tracing experiments across any framework (PyTorch / HF Trainer / Lightning / sklearn / XGBoost). Apache-2.0

MCP bridge for PDF Content Search — full-text PDF search with Apple Vision OCR across thousands of documents in under a second. Advanced filters (date, category, sender, amount), wildcards, boolean operators

Local-first, MCP-native persistent memory for AI agents — a single Rust binary with embedded SQLite, hybrid FTS5 + dense-vector search, and optional AES-256-GCM encryption. Fully offline, no cloud

A PostgreSQL Model Context Protocol (MCP) server acting as a robust persistent super memory, task tracker, and multi-agent coordination hub for AI assistants

Natural language PostgreSQL queries with automatic streaming, read-only safety, and universal database compatibility

provides AI-powered PostgreSQL performance tuning capabilities

Hosted MCP server that parses TypeScript and Python codebases into Neo4j knowledge graphs for blast radius analysis, dead code detection, dependency tracing, and architectural context

Governed PostgreSQL DBA operations — slow-query, bloat, and blocking-lock RCA, index management, vacuum/analyze, and replication lag (35 tools) with unbypassable audit logging (MCP + CLI), budget/runaway guards, dry-run, and undo/rollback

Power BI MCP server with device code auth, enhanced refresh (table-level polling with retry), refresh diagnostics with root-cause error catalog, DAX queries with RLS simulation, PBIP source locating, and scheduled refresh reports

Connect LLMs to Power BI semantic models. Browse workspaces, tables, and measures, run DAX queries, and automatically page large results via local CSV

Zero-config persistent memory for AI agents with local SQLite. Mind Palace web dashboard, time travel (rewind/replay sessions), agent telepathy (cross-client memory sharing), code mode templates, morning briefings, and progressive context loading. 25 tools, 6 resources, 4 prompts

Oracle for AI agents that need to think past obvious answers. One tool, one reading. Free tier included

On-chain calculated crypto indicators (EMA, RSI, Bollinger Bands, Volatility) for 22 tokens via Chainlink oracle. 484 indicator feeds, 4 timeframes, free trial faucet

MCP Server for Qlik Cloud API that enables querying applications, sheets, and extracting data from visualizations with comprehensive authentication and rate limiting support

Open-source customer feedback platform with built-in MCP server. Agents can search feedback, triage posts, update statuses, create and comment on posts, vote, manage roadmaps, merge duplicates, and publish changelogs

63 deterministic quant finance tools for AI agents — options pricing, risk metrics, portfolio optimization, Monte Carlo, technical indicators, crypto/DeFi, and FX/macro. 1,000 free calls/day, no API key

Query SQL databases (SQLite, PostgreSQL, BigQuery, Databricks) in natural language through a business semantic layer — glossary, metrics, and a data dictionary grounded against your real schema

Inspect and operate Redis-backed job queues (Asynq and BullMQ): per-state counts, job detail with decoded payload and last error, and faithful retry/delete running each library's own scripts. Read-only mode for production