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    MCP server implementation that enables LLMs to interact with Rollbar error tracking data, allowing users to list and analyze errors, view occurrences, track deployments, and access project information.
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    MIT
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    Enables AI agents to interact with Magento 2 development environments through comprehensive tools for module management, database operations, cache control, configuration management, and system diagnostics. Supports complete development workflows from module creation to deployment and troubleshooting.
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    MIT
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    An MCP server that provides comprehensive monitoring and management capabilities for Teradata Workload Management (WLM), enabling tasks like performance troubleshooting, emergency throttling, and scheduled maintenance through 41 tools and 39 resources.
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    Apache 2.0
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    Turns any LLM into a coding co-pilot with production-ready MCP server providing lint, test, execution, generation, and graph tools. Features Neo4j persistence, OpenAI Agent integration, REST API, and React frontend for comprehensive code development assistance.
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    MIT
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    Analyzes genealogy trees to detect errors, duplicates, and timeline inconsistencies while identifying missing source citations. It generates detailed audit reports and prioritized research leads to help users maintain accurate and well-documented family histories.
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    MIT
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    Enables troubleshooting of LDAP directory services through natural language queries, providing health diagnostics, replication status, performance metrics, log analysis, and configuration comparisons across multiple servers.
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    GPL 3.0
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    An MCP server that connects Claude to Teradata GCFR operational reporting, enabling natural-language queries about stream status, process history, loads, transforms, errors, SLA, and data lineage without writing SQL.
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    MIT
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    Enables natural language querying of SQL databases by allowing the agent to explore schema, write SQL, and self-correct errors. It integrates with MCP-compatible assistants like Claude Desktop or Cursor.
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    MIT
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    Provides AI assistants with direct access to Wireshark network analysis capabilities, enabling AI-powered network troubleshooting, packet analysis, and network monitoring through a secure interface.
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    MIT
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    A Microsoft SQL Server MCP server that enables querying, inspecting, and troubleshooting SQL Server instances via ODBC with per-caller credential elicitation.
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    MCP server for analyzing Clay tables — schema, rows, errors, and enrichment debugging, using the internal Clay API to enable AI assistants to understand and debug Clay tables.
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    Enables comprehensive monitoring and analysis of Oracle Cloud Infrastructure database fleets through natural language interfaces. It supports performance troubleshooting, capacity planning, and automated DBA workflows across multi-tenant environments using specialized tools and playbooks.
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    Provides comprehensive enterprise printer information including specifications, pricing, troubleshooting, and setup instructions for major printer brands. Enables sales teams to find and compare printers, calculate TCO, and get recommendations, while service teams can access error code resolutions and configuration guides.
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    A centralized architecture that serves as the only data access layer between frontend/backend applications and Supabase/Redis, enforcing strict data access control while maintaining simplicity and efficiency.
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    Captures and stores console output from any process in SQLite with full-text search, enabling AI assistants to search logs, monitor errors, and analyze multi-process activity through natural language queries.
    Last updated