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A TypeScript-based Model Context Protocol server that enables AI assistants to perform secure database operations on PostgreSQL databases through structured tool interfaces.

Enables natural language interaction with PostgreSQL databases through Amazon Q for querying data, listing tables, and describing schemas. It provides secure, read-only access with automatic row limits to ensure efficient database exploration.

Provides access to PostgreSQL database schemas and metadata, allowing MCP-compatible tools like Cursor to explore database structure, inspect table schemas, and understand relationships.

Provides comprehensive PostgreSQL database access with 36 tools for querying, managing schemas, JSONB operations, and database administration. Includes security features like query validation, rate limiting, SSL/TLS support, and optional write operations.

Provides AI assistants with safe, controlled access to PostgreSQL databases with read-only defaults, granular permissions, query safety features, and schema introspection capabilities.

Enables Claude Desktop to interact with PostgreSQL databases through natural language for schema exploration, data analysis, and query execution. Users can search schemas, describe tables, and perform read or write operations without needing to write manual SQL.

PostgreSQL Multi

全面解析Postgresql Multi SchemaMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Postgresql Multi Schema能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

安装状态

已补齐

A secure MCP server that enables querying PostgreSQL databases through an SSH tunnel with enforced read-only access, connection pooling, and comprehensive data exploration tools.

A Cloudflare Worker that provides a Model Context Protocol (MCP) interface for PostgreSQL databases, allowing AI assistants like Claude and Cursor to interact with PostgreSQL databases through natural language.

A Cloudflare Workers-based MCP server that provides PostgreSQL database access capabilities to AI assistants, allowing them to query and manipulate PostgreSQL databases through the Model Context Protocol.

Postgres Remote MCP

全面解析Postgres Remote MCPMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Postgres Remote MCP能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

安装状态

已补齐

A PostgreSQL MCP server that automatically detects and obfuscates personally identifiable information (PII) in query results using column-name heuristics and NLP analysis. It enables AI agents to interact securely with databases by masking sensitive data by default while allowing selective unmasking under user control.

A server that allows users to interact with PostHog analytics platform through Claude Desktop, enabling listing projects, creating annotations, searching insights, and accessing documentation.

Access your PostHog instance. Analytics, HogQL queries, session replays, error tracking, feature flags, experiments, and surveys.

安装状态

已补齐

Connect Claude to your Power BI semantic models. Browse workspaces, tables, and measures, run DAX queries, and get results — with large datasets automatically saved to local CSV files to protect the LLM context window. Includes a query history log for cross-session reuse and auditability.\\r\\n

安装状态

已补齐

Connect Claude to your Power BI semantic models. Browse workspaces, tables, and measures, run DAX queries, and get results — with large datasets automatically saved to local CSV files to protect the LLM context window. Includes a query history log for cross-session reuse and auditability.

Power BI XMLA MCP Server by CData

PQS is the fastest way to get better output from any AI model. Score any prompt before it hits the model. Get a grade (A-F), score out of 80, percentile, and dimension breakdown across 8 quality dimensions. Built on PEEM, RAGAS, MT-Bench, G-Eval, and ROUGE frameworks. Pre-flight, not post-hoc. The AI input quality problem is real. PQS solves it. MCP Tools: - score_prompt: Free. Grade and percentile for any prompt. No API key needed. - optimize_prompt: $0.025 USDC. Returns optimized prompt with full dimension breakdown. - compare_models: $1.25 USDC. Side-by-side scoring across multiple models. HTTP API (x402-native on Base): - /api/score/free: Free. Grade and percentile, no payment required. - /api/score: $0.025 USDC. Single score, pay-per-call. - /api/score/full: $0.125 USDC. Grade, percentile, dimension breakdown, and rewrite. - /api/score/batch: $0.25 USDC. Score multiple prompts in a single call. - /api/score/compare: $1.25 USDC. Multi-model side-by-side scoring. - /api/preflight: $0.05 USDC. Lightweight pre-flight quality check. Paste a prompt. Get an optimized version. Ship better work. Cheaper than one bad prompt.

安装状态

已补齐

Prajwalnayak7

全面解析Prajwalnayak7 MCP Server RedisMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Prajwalnayak7 MCP Server Redis能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

Prajwalnayak7 MCP

全面解析MCP Server RedisMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，MCP Server Redis能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。