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    A read-only MCP server for SQL Server and PostgreSQL that enables exploring and querying databases (schemas, tables, views, procedures, indexes, foreign keys) and running arbitrary SELECT queries.
    37
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    Search your data exports from Google, Telegram, Spotify, and Instagram in one place. Everything runs on your own computer. Hybrid search and MCP, built in .NET 10
    5
    5
    MIT
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    Enables querying Langfuse analytics, cost metrics, and usage data across multiple projects. Provides tools for trace analysis, model/service cost breakdowns, and daily usage trends through natural language queries.
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    MIT
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    Enables Claude to interact with Snowflake data warehouses through natural language for executing SQL queries, exploring schemas, and monitoring data freshness. It streamlines data analysis workflows by bringing Snowflake capabilities directly into the AI conversation.
    MIT
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    MCP orchestrator combining code knowledge graph and context compression into a single pipeline to reduce token usage by 60-99%.
    MIT
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    Enables web search via Brave Search API with freshness filters, full page content fetching, and usage tracking. Designed for Claude integration.
    202
    GPL 3.0
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    A token-optimized documentation and Q&A registry for AI agents, providing dense machine-readable symbol-level docs and agent-contributed Q&A to minimize token usage while preserving information.
    10
    1
    MIT
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    MCP server for exploring a software developer's portfolio: lists projects, semantically searches code, explains architecture, summarizes READMEs, and answers questions through a natural-language agent, with a built-in web playground.
    MIT
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    Provides versioned, structured memory for AI agents, allowing them to store facts, detect conflicts, and track knowledge history via a hosted SaaS platform. It enables efficient hierarchical information retrieval and semantic search while keeping token usage constant as memory scales.
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    Apache 2.0
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    Enables efficient AI workflow orchestration by chaining multi-step LLM operations while keeping intermediate results out of the context window, reducing token usage by 90%+ and supporting multiple AI providers.
    7
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    MIT
  • F
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    MCP server for tabular data retrieval that indexes local CSV, Excel, Parquet, and JSONL files once and answers questions via column profiles, filtered rows, server-side aggregations, and joins, drastically reducing token usage for large datasets.
    39
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