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"An MCP that supports the SSE communication protocol for testing purposes" matching MCP servers:

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  • A
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    maintenance
    Enables natural-language chat-driven API testing, letting users upload API specs, run deterministic pytest checks against live targets, inspect results, create defects, and view failure trends.
    MIT
  • F
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    quality
    C
    maintenance
    A full-stack API automation testing server that parses OpenAPI/Swagger/Postman/HAR specs, generates comprehensive test scenarios and executable code, and provides AI-powered review and auto-fix.
    -
  • F
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    quality
    C
    maintenance
    Enables MCP-compatible clients to discover API endpoints from OpenAPI/Swagger specs, send HTTP requests, validate responses, and analyze status codes for automated API testing.
    1
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  • F
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    quality
    D
    maintenance
    MCP server for WeChat automation, supporting message sending, chat history retrieval, and contact list management via SSE protocol.
    5
    -
  • A
    license
    A
    quality
    B
    maintenance
    An MCP server that provides AI trading agents with persistent, outcome-weighted memory to learn from historical performance and detect behavioral biases. It enables agents to automatically adjust strategies and optimize position sizing based on context-aware recall of past trade outcomes.
    20
    1,434
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    Provides time intelligence, persistent memory and complete traceability for AI coding agents. Enables sophisticated activity tracking, timezone management, smart reminders, and cross-session continuity with support for both per-project and centralized storage modes.
    9
    7
    MIT
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    quality
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    A comprehensive MCP server for managing AI-assisted Dungeons & Dragons campaigns, featuring tools for character sheets, combat tracking, and world-building. It enables players and DMs to interact with 5e game mechanics and query personal PDF rulebooks using RAG capabilities.
    60
    97
    2
    MIT
  • A
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    D
    quality
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    Enables AI agents to debug and repair historical Solaris/SPARC systems by providing an out-of-band control plane with guest DTrace, QEMU monitor access, SPARC-aware GDB, host eBPF/perf tracing, and an immutable evidence ledger for cross-layer hypothesis testing.
    16
    MIT
  • A
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    Not graded
    quality
    D
    maintenance
    A FastAPI MCP server that uses Server-Sent Events as a transport layer, providing echo functionality through tools, resources, and prompts.
    12
    MIT
  • A
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    quality
    D
    maintenance
    A server that enables interaction with Upbit cryptocurrency exchange API through Server-Sent Events, allowing users to access market data, manage accounts, execute trades, and perform technical analysis.
    1
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    Skill librarian for coding agents: describe a task and get the few matching skills from a large local skill collection, then report whether they worked. Runs locally with Ollama and SQLite.
    42
    MIT
  • A
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    Not graded
    quality
    C
    maintenance
    Resume-as-an-Agent (RAAA) or Portfolio-as-an-Agent (PAAA) allows Agents to talk to your resume, find out if you are available for work, and more. Use the MCP to allow recruiters, managers, and anyone with an agent to "talk" to your resume.
    3
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    An MCP server that connects AI assistants to YNAB budgets, enabling natural language queries about finances backed by full API coverage and built-in YNAB methodology knowledge.
    1
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    A minimal MCP server with get_weather and create_ticket tools, used for testing MCP servers across protocol, unit, eval, transport, and auth layers.
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    This MCP server provides a local-first control plane for coding agents, enabling task routing, contract management, and shared learning across multiple AI vendors via markdown files.
    5
    MIT