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"Plotly Dash - A Python Framework for Building Interactive Web Dashboards" matching MCP servers:

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    MCP server for managing interactive processes, enabling AI agents to start, interact with, and terminate long-running programs like SSH sessions, REPLs, and installers via read/write operations.
    8
    8
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    MCP server for AI-powered web research — search (Google, Brave, Serper, SearXNG), scrape any page, extract PDFs/DOCX/YouTube transcripts, academic & patent search. Single Go binary. Works with Claude, Cursor, Copilot, and any MCP client.
    25
    48
    MIT
  • F
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    quality
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    maintenance
    Records Chrome network requests and responses for LLM knowledge bases, and exposes query and browser control capabilities via MCP tools like list_sessions, navigate, and evaluate.
  • F
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    MCP server that provides web search via LLM API gateways with server-side search, returning cited answers and multi-provider fallback.
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    Manage a fleet of OPNsense firewalls from an AI agent, inside guardrails it can't drive around. MCP server for central management of OPNsense firewall fleets. 129 tools across devices, config sync, tasks, schedules, templates, backups and remote consoles - destructive actions confirmation-gated, MCP-issued tokens lifetime-bounded, backup and storage secrets excluded from the toolset entirely.
    Apache 2.0
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    maintenance
    Connect to your TTRPG campaign's repository and database. Instead of retrieving prose, its 48 tools (20 read, 28 write) return typed state: 14 entity schemas (NPCs, factions, locations, sessions, lore), relationship and knowledge-graph queries, wiki blocks, and a narrative-state bundle of open threads and canon facts.
    1
    MIT
  • A
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    quality
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    Connect any AI client to the CaBrain memory system via MCP, exposing tools for memory recall, retain, and brain management.
    4
    MIT
  • A
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    quality
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    maintenance
    WhoDB CLI - a powerful database management tool with interactive TUI, programmatic commands, and MCP server for AI assistants.
    12
    5,003
    Apache 2.0
  • A
    license
    A
    quality
    A
    maintenance
    Minimal Go library for building stdio MCP servers on the official go-sdk — struct-derived JSON Schema, tiny static binaries.
    3
    1
    MIT
  • A
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    quality
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    maintenance
    A high-performance MCP server providing up-to-date documentation for Go, npm, Python, Rust, Docker, Kubernetes, Terraform, and more — fetched from official sources, not training data.
    18
    3
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Read-only MCP tools for authenticated Open Science Framework projects, components, files, and contributors.
    6
    1
    Apache 2.0
  • A
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    quality
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    maintenance
    Enables AI assistants and LLMs to query SigNoz observability data (metrics, traces, logs, alerts, dashboards) using natural language.
    113
    Apache 2.0
  • A
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    quality
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    maintenance
    Description: Introduce Beelzebub, an MCP‑based honeypot framework that enables creating decoy tools to detect prompt injection and malicious agent behavior. Motivation: Strengthen the security of LLM workflows by adding a non‑intrusive detection mechanism.
    2,141
    GPL 3.0
  • A
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    quality
    A
    maintenance
    Enables AI agents to send HTML documents to a local viewer, where they are stored and displayed in a live web UI for browsing and searching.
    10
    ISC
  • A
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    quality
    A
    maintenance
    A high-performance, asynchronous MCP server that provides comprehensive Google search and web content scraping capabilities through the Firecrawl API, designed for LLMs to retrieve external information efficiently.
    GPL 3.0
  • A
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    quality
    B
    maintenance
    MCP server that executes caller-supplied Python code in a network-isolated, locked-down sandbox and returns stdout/stderr/exit code. Supports stdio, HTTP, and SSE transports with optional auth.
    1
    MIT
  • A
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    quality
    A
    maintenance
    MCP server that exposes live host metrics (CPU, memory, processes, network) to Cursor/Claude via /proc and optional eBPF, enabling system monitoring dashboards and natural language queries.
    MIT