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URL: https://glama.ai/mcp/servers/integrations/pino

⇱ pino | Glama

  • Why this server?

    Utilizes pino for structured logging to stderr while maintaining clean JSON-RPC communication to stdout, supporting the Feishu/Lark MCP server's operations for messaging, document management, calendar operations, task management, and database functionality.

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    An MCP server that exposes Feishu/Lark capabilities as function tools to MCP-compatible agents like Hermes and Claude Desktop. It provides 57 tools for messaging, document management, calendar operations, and task management through both hand-written fallback tools and bridged OpenClaw SDK functionality.
    Last updated
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    MIT

  • Why this server?

    Supports parsing and monitoring of Pino log files with search and real-time monitoring capabilities

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    Enables monitoring and analysis of local application log files with real-time tailing, error tracking, and search capabilities. Perfect for debugging Node.js applications, web servers, or any application that writes to log files through natural language commands.
    Last updated
    6
    4
    MIT

  • Why this server?

    Provides structured logging for server operations, enabling detailed monitoring and debugging of proof generation and payment processing.

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    Zero-knowledge proof generation MCP server. AI agents can prove identity claims (Coinbase KYC, Country, Google OIDC, Google Workspace, Microsoft 365) without revealing personal data. Runs in AWS Nitro Enclave TEE with x402 USDC payments.
    Last updated
    6
    MIT

  • Why this server?

    Provides structured logging capabilities for better observability of the LinkedIn MCP server

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    Enables AI assistants to interact with LinkedIn data through the Model Context Protocol, allowing profile searches, job discovery, messaging, and network analytics.
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    MIT

  • Why this server?

    Uses Pino for structured, verbose logging with configurable log levels and pretty-printing options for development and debugging.

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    Enables indexing and retrieving notes with full-text search using SQLite, plus building knowledge graphs to find relationships between concepts. Supports natural language note management, tagging, and semantic connections.
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    16

  • Why this server?

    Provides structured logging capabilities for the MCP server

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    A Node.js MCP server that enables AI assistants to interact with Yandex Tracker task management system through a standardized protocol, supporting operations like creating, updating, and searching issues.
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    433
    3
    ISC

  • Why this server?

    Utilizes Pino for structured JSON logging to enhance observability of server operations and troubleshooting.

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    A high-performance HTTP service that bridges Claude Code or other MCP clients with Linear's GraphQL API, enabling natural language interaction with Linear issues, comments, projects, and other entities without dealing with UUIDs.
    Last updated
    2,496
    MIT

  • Why this server?

    Integrates structured logging through the pino logger, with configurable log levels for detailed application monitoring and troubleshooting.

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    A Model Context Protocol server that allows Large Language Models like Claude to execute SQL queries, explore database schemas, and maintain persistent connections to SQL Server databases.
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