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"Multi-Party Computation (MPC) for Finance and Trading Applications" matching MCP servers:

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    Structural observability for AI conversations. Detects loops, stuck states, breakthroughs, and convergence across 17 channels without analyzing content.
    2
    MIT
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    license
    A
    quality
    A
    maintenance
    Enables AI agents to interact seamlessly with Splunk environments through 20+ tools for search, analytics, data discovery, administration, and health monitoring. Features AI-powered troubleshooting workflows and supports multiple Splunk instances with production-ready security.
    56
    27
    Apache 2.0
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    quality
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    Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.
    40
    1
    Apache 2.0
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    Enables debugging of distributed transactions by continuously ingesting Docker container logs, indexing them by trace/request ID, and exposing MCP tools to search, tail, and correlate logs across services.
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    A Model Context Protocol server that provides seamless integration with Coroot observability platform, enabling monitoring of applications, analysis of performance metrics, examination of logs and traces, and management of infrastructure through Coroot's comprehensive API.
    61
    16
    MIT
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    quality
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    Enables AI-driven SOC investigations by providing automated Splunk querying, threat intelligence enrichment, and response actions through natural language. Includes tools for IP pivoting, lateral movement detection, and label harvesting.
    31
    1
    Apache 2.0
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    B
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    Enables AI clients like Claude to triage, investigate, and operate Icinga installations through natural language, integrating with Icinga's REST APIs and providing deep awareness of monitoring plugins and historical performance data.
    4
    The Unlicense
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    quality
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    A safety layer and monitoring copilot for AI agents using Splunk MCP, recording tool calls, enforcing policies, and blocking risky actions.
    MIT
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    C
    maintenance
    A production-oriented reliability, benchmarking, and evaluation system that layers multi-version protocol negotiation, adaptive streaming, connection pooling, and resilience onto an MCP agent runtime.
    1
    Apache 2.0
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    license
    A
    quality
    A
    maintenance
    An MCP trust boundary that produces signed, hash-chained evidence envelopes for third-party MCP tool calls, enabling tamper-evident audit and descriptor verification.
    7
    AGPL 3.0
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    license
    C
    quality
    A
    maintenance
    MCP server for Langfuse observability. Query traces, debug exceptions, analyze sessions, and manage prompts and datasets for your LLM applications.
    48
    104
    MIT
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    quality
    A
    maintenance
    Exposes Spark History Server data as tools for AI agents, enabling natural language querying of Spark applications, jobs, stages, and performance metrics.
    189
    Apache 2.0
  • A
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    quality
    B
    maintenance
    A read-only MCP operations console for monitoring an algorithmic trading fleet, providing heartbeat, reconciliation, alert, and audit data through six typed tools.
    MIT
  • F
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    quality
    C
    maintenance
    Enterprise-grade MCP server with multi-agent system for business AI transformation across finance, healthcare, retail, and other domains. Provides specialized AI agents for data analysis, API execution, business validation, and report generation with real-time monitoring and observability.
  • F
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    quality
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    maintenance
    A Model Context Protocol server that performs third-party threat intelligence enrichment for various observables (IP addresses, domains, URLs, emails) using services like VirusTotal, Shodan, and AbuseIPDB.