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"PostgreSQL MCP (Multi-Version Concurrency Control or specific usage)" matching MCP servers:

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    Monitors your Cursor usage and provides a conserve flag to the agent, helping you manage request quota by batching questions, preferring defaults, and cutting unnecessary confirmations.
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    MIT
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    Enables AI agents to control hardware devices like Arduino, Raspberry Pi, 3D printers, CNC machines, and custom robots via serial ports and HTTP. Provides tools for device discovery, command sending, sensor reading, servo control, G-code execution, and emergency stops with safety features.
    MIT
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    A local, open-source MCP server that enables AI clients to control multiple isolated Chromium browser sessions concurrently, with explicit session and page addressing and independent state.
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    Apache 2.0
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    A production-grade Model Context Protocol server for PostgreSQL. Lets AI agents safely inspect, query, operate, and tune a Postgres database — over 100 tools spanning catalog introspection, query intelligence, natural-language SQL, structural diffs, hybrid search, graph queries, data movement, live ops, and more.
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    MIT
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    Provides cryptographically signed, tamper-evident compute usage receipts via a Model Context Protocol server, exposing tools to record usage, verify receipts, list the ledger, and verify ledger integrity without requiring any account, API key, or single cloud provider.
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    Apache 2.0
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    Allow AI agents to see and control a real Windows PC you own: observe (UIA + screenshots), click/type/drag/scroll, launch apps, owner Live View. BYOH — your machine, your key.
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    Apache 2.0
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    Embedded memory and retrieval engine for AI agents, providing local-first memory with MCP support for multi-agent access control.
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    MIT
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    Free multi-source search for AI agents with multi-source verification, token savings, and MCP native support.
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    Apache 2.0
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    Provides AI agents with version-pinned NVIDIA CUDA-Q documentation, API reference, and runnable examples via MCP, using offline SQLite full-text search. It resolves docs to match the installed cudaq package to avoid version skew.
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    Apache 2.0
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    MCP server that integrates with Pica to enable seamless interaction with 100+ third-party services through a standardized interface, supporting direct execution and code generation.
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    GPL 3.0
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    More than just an MCP server that covers the entire range of Docker management tasks, it helps you create workflows to easily manage your Docker environments at scale. It allows you manage multiple local or remote (TCP, TLS, SSH) docker instances and exposes things like logs and stats as resources so that you can monitor and triage all of them.
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    MIT
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    MCP server for verifying AI agent claims vs reality — single-transcript inline grounding-check that flags when an agent's response states facts not in the input context, when its code silently swallows exceptions and substitutes mock data, or when its multi-turn transcript contains contradictions or unverified completion claims. Sub-second, local, free, no API calls.
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    MIT
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    Context-efficient MCP server for AI agents. fetch_extract reduces token usage by a median 98.1% (53,820 → 2,001 tokens) vs raw HTML — saves ~$0.156/call at Sonnet pricing. Pay $0.02 USDC on Base via x402. First call free per wallet. 10 always-free utility tools included.
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    MIT
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    Python Docs MCP Server gives AI coding agents local access to the official Python standard library docs. It can look up docs by Python version, return specific sections, and keep answers compact for clients like Claude Desktop, Cursor, and Codex. It runs without API keys or a hosted service.
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    MIT
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    An MCP server that lets AI assistants inspect and control Asterisk and FreeSWITCH PBX systems, enabling natural language queries about live switch status, channels, registrations, and call control.
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    MIT
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    Software end-of-life intelligence for AI agents: EOL dates, support timelines and 0-100 upgrade risk scores for 480+ products. Check whether a version is still supported, score its risk, or audit an entire stack.
    5
    MIT