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"Sumo Logic" matching MCP servers:

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    MCP server for managing and serving dynamic prompt templates using elegant and powerful text template engine. Create reusable, logic-driven prompts with variables, partials, and conditionals that can be served to any compatible MCP client like Claude Code, Claude Desktop, Gemini CLI, etc.
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    18
    MIT
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    A production-ready template for building Model Context Protocol servers with Clerk authentication on Cloudflare Workers, allowing AI assistants to securely access user data and business logic in Clerk-authenticated applications.
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    2
    MIT
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    Connects LLMs to Elasticsearch with a Semantic-to-Lexical layer that translates technical field names into business knowledge, enabling autonomous querying without hardcoded domain logic.
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    Enables routing of ML tasks like chat, sentiment analysis, recommendations, and summarization to appropriate models through a dynamic YAML-based registry. Provides async FastAPI endpoints with streaming support, retry logic, and pluggable model architecture for scalable ML inference.
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    A backend server that executes advanced logic primitives and cognitive operations through the Model Context Protocol, allowing integration with various LLM providers for reasoning, data processing, and structured thought processing.
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    29
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    Provides AI agents with local file-processing capabilities for token counting, RAG chunking, CSV/JSON conversion, QR generation, and more, while keeping documents private on the user's machine.
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    MIT
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    Enables sending rich notifications to Discord and/or Slack webhooks with automatic service detection, retry logic, and support for embeds, blocks, and attachments. Provides secure webhook management with comprehensive input validation and rate limiting.
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    3
    TypeScript
    MIT
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    Enables interaction with the Blawx API to discover project ontologies, ask questions using fact scenarios, and retrieve detailed, step-by-step explanations of logic-based answers. It allows agents to browse project content and drill down into model attributes and constraint satisfaction for rule-based reasoning.
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    MIT
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    Long-term memory for AI agents over MCP — episodic + semantic memory, a temporal knowledge graph, and a dialectic user model, exposed as 32 tools (recall, remember, context, graph, dreaming, peers). Zero dependencies, runs fully offline; leads the LoCoMo benchmark at ~35x fewer LLM calls.
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    2
    Apache 2.0
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    An MCP server that provides persistent, cross-session memory and team knowledge sharing for AI development workflows. It enables project DNA scanning, semantic search, context budgeting, and git-aware indexing to prevent AI context loss between sessions.
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    18
    MIT
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    Provides a unified MCP interface that proxies requests to multiple backend servers including memory/knowledge graph and vector database services. Enables seamless access to distributed MCP tools through a single endpoint with automatic routing, health monitoring, and retry logic.
    Last updated