Postgres MCP
Работа с PostgreSQL: исследование базы, диагностика состояния и задач производительности.
Категория
Подключение баз, исследование схем и работа с данными.
Работа с PostgreSQL: исследование базы, диагностика состояния и задач производительности.
Работа AI-ассистента с данными Redis: управление и поиск в выбранном хранилище.
Справочник материалов для 3D-печати: поиск филамента, сравнение свойств, настройки печати и разбор типичных проблем.
Общая память для Claude Chat, Code и Cowork: сохранение решений и предпочтений в локальной SQLite с полнотекстовым поиском.
Проверки качества данных в хранилищах: выполнение правил, разбор причин ошибок с помощью LLM и предложения исправлений на SQL.
Обмен сообщениями между агентами, распределение задач и общая память с хранением в SQLite и разграничением доступа.
AI-powered domain brainstorming, analysis, and availability checking via AgentDomainService.com. Generate creative domain names from descriptions, get AI scoring for brandability/memorability, and check real-time availability with pricing. No API keys required
Local-first memory engine for AI-agent teams: private/team/project ACL (a hard gate before ranking), associative recall, and federated sync where revocation propagates across nodes. SQLite + FTS5, no LLM required; MCP server + web console included. pip install 'agent-memory-os[mcp]'
Shared versioned state store with optimistic concurrency control for coordinating concurrent AI agents. SQLite-backed claim/release locks and append-only audit log
Persistent memory for AI coding assistants with hybrid search (FTS5 + vector embeddings), session tracking, automatic context hooks, and web viewer. SQLite-based with no daemon process — works with Claude Code, Cursor, Windsurf, and any MCP client
Local-first codebase intelligence engine. Gives coding agents structured context packets, indexed code/schema facts, and diagnostics over MCP, backed by a local SQLite store — so agents stop rediscovering your repo with raw grep. Optional Postgres/Supabase awareness and a bundled Claude Code plugin
Governed memory for coding agents with trust lifecycle (hypothesis → active → validated → deprecated), conflict detection, staleness tracking, and health scoring. SQLite + FTS5, zero infrastructure. [mcp]
MCP server that provides AgentQL's data extraction capabilities
On-chain trust oracle for the ERC-8004 + x402 agent economy. 18 tools for verifying AI agents: 6-signal composite trust scoring (0-100), 272-wallet scam database, ERC-8004 identity lookup, EAS attestations on Base mainnet. x402-payable. Free get_score / check_scam . Live at vvpro.ai · npm @agentradar/mcp
Persistent memory for AI agents through a simple key-value HTTP API. No vector database or embeddings required. Store, retrieve, search, and share memory across agents with shared namespaces and TTL support
Brazilian agricultural data for LLMs — prices, crop estimates, climate, deforestation from 19 public sources via CEPEA, CONAB, IBGE, INPE and B3
Airflow REST API — 7 tools (DAG list, runs, task instances, log tails, trigger, clear). dag-health-rollup aggregation. Airflow 3.x /api/v2 + JWT (SimpleAuthManager); pin 0.1.x for Airflow 2.x. Read-only by default; trigger/clear write-gated
Connect AI tools directly to Airtable. Query, create, update, and delete records using natural language. Features include base management, table operations, schema manipulation, record filtering, and data migration through a standardized MCP interface
Airtable database integration with schema inspection, read and write capabilities
Neuroscience-inspired memory engine for AI agents. Stores episodes, consolidates knowledge through a Bjork-strength lifecycle (strengthening, transformation, forgetting), and builds a personal knowledge graph with emergent categories, preferences, and semantic recall. Local SQLite, zero config, 10 MCP tools. Install…
MCP Server for natural language querying of Snowflake, Google BigQuery, and DataBricks Data Products through Alkemi.ai
AlphaFold MCP server integrating AlphaFold DB with eight additional public biomedical data sources, backed by a local SQLite knowledge graph for structural-confidence, variant, disease/phenotype, drug-target, and orthology workflows
The MCP server that remembers your database — persists table/column annotations, an FK relationship graph, and searchable notes across sessions, so the model stops re-discovering your schema every time. PostgreSQL, MySQL, MSSQL, SQLite; read-only-enforced
16 paid wallet & utility tools on Base + Solana. 9 commodity primitives — OFAC sanctions screen, bundled wallet intel (balances + activity + identity + sanctions in one call), dual-chain hash anchoring, signed decision attestations, mainnet tx + calldata decode, ENS + Bonfida SNS resolve, USD prices, datetime parse.…
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