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"Methods to Improve or Enhance a Prompt" matching MCP servers:

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    An MCP server that provides cost and reliability observability for LLM and agent workflows. It records model calls and allows querying and aggregating telemetry data through MCP tools.
    6
    MIT
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    Enables interaction with Google Analytics 4 to manage accounts, run standard or realtime reports, and validate event parameters. It supports dual authentication methods and integrates with GTM for end-to-end data collection orchestration.
    8
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    Enables brand visibility monitoring across major AI platforms like ChatGPT, Claude, Gemini, and Perplexity. It allows users to track visibility scores, analyze competitor data, and receive actionable insights to improve AI-generated brand recommendations.
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    MIT
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    Enables LLMs to directly query a Matomo analytics instance, execute reporting methods, fetch historical trends, report metadata, and dynamically generated chart images through typed MCP tools.
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    Connects LLMs to Google PageSpeed Insights to analyze web performance, accessibility, SEO, and best practices, enabling AI assistants to audit and improve any web page.
    MIT
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    Diagnose MCP servers — health checks, tool testing, token cost audits, conflict detection, and security scanning with 50+ prompt injection patterns. Works as CLI or MCP server inside Claude Desktop.
    1
    MIT
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    Provides intelligent analysis of token usage patterns and optimization recommendations to improve efficiency and reduce costs in Claude Code sessions. Offers real-time analysis, cost metrics, and actionable insights for better context window and tool usage optimization.
    3
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    MCP-native agent evaluation and observability server. Log traces, evaluate output quality with 12 built-in rules (PII detection, prompt injection, cost thresholds), and track agent costs. Real-time dashboard, OTel-compatible spans. Self-hosted, MIT licensed.
    9
    346
    7
    MIT
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    Enables AI agents to self-report bugs, ambiguities, and improvement requests via a single report_issue tool, logging to PostgreSQL or JSONL with severity and mode classification.
    1
    LGPL 3.0
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    An MCP server that exposes a dbt project's run state as tools, enabling AI assistants to answer questions like 'is the warehouse healthy?' or 'what broke and why?' via plain English, using read-only access to dbt artifacts and warehouse data.
    4
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    Provides AI assistants with read access to Clamp analytics data including pageviews, visitors, referrers, and custom events. Enables traffic analysis, conversion funnel evaluation, and metric alerts through natural language queries.
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    2
    MIT
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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.
    2
    164
    4
    MIT
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    Enables AI agents to check the health of internet infrastructure and specific services, helping diagnose whether issues are local or external.
    3
    24
    ISC
  • A
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    quality
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    A read-only MCP server that bridges AI assistants to SAP Cloud ALM, exposing read APIs through four intent-based tools. It runs locally over stdio or remotely over Streamable HTTP, and can be deployed to SAP BTP Cloud Foundry.
    4
    2
    MIT
  • A
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    An MCP server for Grafana Loki that enables LLMs to query, tail, and analyze logs, featuring fuzzy container-name matching, compact output, and tools for log patterns, volume, and label discovery. It can run as a local stdio server or a containerized HTTP service.
    9
    MIT