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    Datadog MCP — 165 tools for metrics, monitors, logs, APM, RUM, incidents, CI/CD, fleet automation. Includes incident-triage-snapshot aggregation tool and 4 workflow Prompts.
    100
    461 npm
    3
    MIT
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    Enables natural language interaction with Plausible Analytics data to query traffic, visitors, engagement, and more using conversational questions.
    4
    1
    MIT
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    Android MCP — 76 ADB-based tools for device, apps, UI, logcat, emulator, files, system, and debug. Includes 7 workflow Prompts (crash investigation, ANR, battery drain).
    212 npm
    16
    MIT
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    Web analytics and AI session replay for agents: visitors, breakdowns, funnels, goals, revenue attribution, and AI-found site issues. Connects to the hosted Flowsery MCP server.
    27
    MIT
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    Lets AI assistants query Dynatrace Managed environments — services, traces, metrics, pods, and problems — by running read-only GET requests through your already logged-in browser session, so no API tokens are needed. All traffic stays on your machine between the AI client, a local server, and a browser extension.
    39
    MIT
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    Enables MCP clients such as Claude and Cursor to query Vercel Web Analytics across all your projects, covering visitors, sources, campaigns, Core Web Vitals, cross-site traffic, alerts and exportable board reports. It also supports annotations, resources and guided prompts for weekly briefs and traffic-drop investigations via a hosted or local server.
    799 npm
    MIT
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    Enables listing available Monti APM metrics and querying metric time series, summaries, and breakdowns through the Monti APM REST API with filtering, dimensions, and app selection. It supports MCP clients such as Claude Code and Codex over stdio.
    MIT
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    Multi-site analytics for AI agents — GA4, Google Search Console, Cloudflare edge, PageSpeed, and audit insights across all your websites as tools.
    22 npm
    MIT
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    Enables AI agents to analyze, cluster, compare, and export reports from local log files through seven read-only tools, returning compact evidence packs with line-number citations instead of raw log dumps. All processing happens on the local machine, so log data never leaves the environment.
    526 PyPI
    1
    MIT
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    Enables AI coding agents such as Claude Code, Cursor, Codex, and OpenCode to query local token usage, costs, quotas, projects, and models through six strictly read-only tools. All data stays on the local machine, drawn from passively parsed session logs rather than uploaded telemetry.
    MIT
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    Aggregates site analytics and published content from Google Analytics, Search Console, Cloudflare, and Buffer into MCP tools for traffic, search, request, and content reports.
    2
    Apache 2.0
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    An MCP server that records agent execution metrics and exposes a Context Window Explorer to visualize exactly what entered the model's context window across sessions, tokens, and tool calls.
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    3
    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.
    4
    14 npm
    Apache 2.0
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    MCP server exposing rlg (RustLogs) log files as tools for on-call / SRE agent workflows. Three tools over JSON-RPC stdio — tail_log (last N events, filtered by level/target), filter_log (predicate filtering), summarize_errors (grouped error taxonomy). Pure Rust. MIT OR Apache-2.0.
    3
    6
    Apache 2.0
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    MCP server for Kibana / Elasticsearch — log search, aggregations, index discovery, and dashboard browsing. Hits Elasticsearch REST API directly for log queries; falls back to Kibana Console proxy when no direct ES URL is configured. Supports ApiKey auth (best for agents), Basic auth, and anonymous access. All 5 tools are read-only (readOnlyHint: true). Returns structured JSON (outputSchema).
    5
    273 PyPI
    1
    MIT
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    Relays error logs from other MCP servers when an LLM call fails and the returned error message is unclear, helping the model handle errors more intelligently.
    3
    6 npm
    MIT
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    Tells an agent what went wrong with its own Ollama calls, in sentences with the fix: lost prompt cache and where the prompt stopped matching, context overflow, a model running partly on CPU, tool schemas crowding the prompt. Also the last turn in numbers and which local models fit in video memory. Local, read-only, nothing leaves the machine.
    4
    7
    533 npm
    28
    Apache 2.0
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    The policy enforcement plane for MCP: deterministic admission and egress policy, attributable audit, and SIEM export for your MCP server fleet. Self-hosted and MIT licensed.
    22
    1,323 PyPI
    17
    MIT
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    Provides a local MCP interface to query captured, PII-scrubbed prompt telemetry from coding agents and browser chats, enabling time summaries, prompt search, and activity analysis without data leaving the machine.
    9
    MIT
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    Enables log analysis for Tenable Patch Management (SaaS and on-prem) by parsing, de-duplicating, and decoding server/client logs into structured verdicts, ranked issues, and known-issue fixes.
    11
    MIT
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    MCP server for the Chrome UX Report, providing real-user Core Web Vitals (LCP, INP, CLS) and historical trends for any origin or URL via natural language queries.
    3
    2
    MIT