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  • F
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    quality
    C
    maintenance
    A Python-based MCP server that analyzes PostgreSQL query plans, suggests indexes, and checks pagination safety to help optimize database performance.
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  • F
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    C
    maintenance
    MCP server with a fictitious clinical database to develop and test agents, providing tools to search patients and retrieve full medical records (inpatient, outpatient, emergency) via HTTP streamable transport.
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  • F
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    D
    maintenance
    An MCP server and web application that enables natural language medical queries and patient data analysis powered by Gemini AI. It allows users to track and analyze patient biometrics, including vitals, sleep patterns, and laboratory results, through a comprehensive set of automated medical tools.
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  • A
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    quality
    B
    maintenance
    A focused project memory system that provides knowledge graph capabilities and SQLite database operations for intelligent entity tracking and workflow management. It enables AI models to maintain persistent project context through 17 specialized tools, 10 resources, and 27 pre-built prompts.
    3
    MIT
  • F
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    An MCP server for institutional quantitative intelligence, integrating Calera FinSec SEC auditing, ICX infinite context memory, level-2 order book analysis, SQL backtesting, and post-trade execution auditing with security safeguards.
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  • F
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    quality
    C
    maintenance
    A collection of MCP servers for database management and Gmail integration, allowing AI agents to perform database queries and email operations.
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  • F
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    quality
    C
    maintenance
    MCP server enabling natural-language querying of SQLite databases via schema discovery, GraphRAG retrieval, and safely guarded read-only SQL execution.
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  • A
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    C
    maintenance
    Enables task management through natural language: create tasks, list and filter them, and update their status. It uses SQLite for persistence and supports both local stdio and remote SSE transports.
    7
    MIT
  • A
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    quality
    D
    maintenance
    The Materials Project MCP Server is server that provides programmatic access to the Materials Project database. It enables LLMs, to search, analyze, and retrieve up to date materials science data.
    13
    MIT
  • F
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    Not graded
    quality
    C
    maintenance
    Enables AI agents to safely interact with Supabase through read-only and gated-write tools, with bounded queries, allowlists, and explicit project targeting.
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  • F
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    quality
    D
    maintenance
    Enables project and task management through a lightweight SQLite database, allowing users to create projects, add categorized tasks, track status changes, and get project statistics through natural language commands.
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  • A
    license
    A
    quality
    B
    maintenance
    An MCP-based conversational HR agent that handles time tracking queries, policy lookups, adjustment approvals with human confirmation, and BigQuery analytics via natural language.
    5
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    An MCP server for managing agent memory using provenance tracking, decay-weighted retrieval, and feedback loops to optimize information recall. It allows agents to store insights in a local SQLite database and rank them based on confidence, age, and usefulness.
    4
    19
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Enables governed access to corporate Postgres databases via MCP, supporting read-only queries, confirmed data and schema changes, query explanation, audit trail retrieval, and role-based policies with optional Vault secret integration.
    10
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Enables AI assistants to maintain long-term memory by logging and retrieving facts and decisions in a SQLite database, with relevance ranking and full history tracking.
    7
    MIT
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    license
    C
    quality
    D
    maintenance
    Transforms SAP S/4HANA or ECC systems into conversational AI interfaces by exposing all OData services as dynamic MCP tools. Enables natural language interactions with ERP data including querying, creating, updating, and deleting entities through SAP BTP integration.
    19
    34
    6
    MIT