"Sumo Logic" matching MCP servers:

A thin stdio gateway to Nodus's Streamable HTTP MCP server, exposing a curated allowlist of tools for the Research Workbench. It enables secure, bearer-authenticated interactions with Nodus without graph logic or caching.

An MCP server that gives LLMs structured, verifiable memory by storing facts in a knowledge graph and enabling logic-based reasoning through natural dialogue.

Enables creating and querying semantic knowledge graphs to model business logic, code relationships, and project structure across multiple projects.

SourceSage is an MCP (Model Context Protocol) server that efficiently memorizes key aspects of a codebase—logic, style, and standards—while allowing dynamic updates and fast retrieval. It's designed to be language-agnostic, leveraging the LLM's understanding of code across multiple languages.

SourceSage is an MCP server that efficiently memorizes key aspects of a codebase—logic, style, and standards—while allowing dynamic updates and fast retrieval.

Provides Prolog logic programming integration for Claude via a Docker SWISH container, with persistent notebooks and cognitive architecture support.

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.

Persistent memory for AI coding agents that stores and recalls preferences, decisions, and conventions via semantic similarity, with zero cloud dependencies and plug-and-play MCP integration for Claude Code.

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.

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.

Gives Alexa+ persistent, structured memory of a household kitchen: tracking purchased groceries, flagging items at risk of spoiling, proposing rescue meals from expiring ingredients, and maintaining shopping lists, receipt ingestion, and waste reports through MCP tool calls. Storage, tool logic, and safety controls (consent gates, two-step deletion, rate limiting) are exposed over Streamable HTTP for any MCP client.

An MCP server for the Pyke logic programming engine that enables LLMs to perform logical reasoning using knowledge bases with facts, rules, and queries. It supports session management, forward chaining inference, and bulk loading of programs in Logic-LLM format.

Extracts content from Douyin, Bilibili, Xiaohongshu, and Zhihu, and generates intelligent knowledge graphs.

ATLAS (Adaptive Task & Logic Automation System) is a Model Context Protocol server that provides hierarchical task management capabilities to Large Language Models. This tool provides LLMs with the structure and context needed to manage complex tasks and dependencies.

A persistent backend that reduces AI agent context window bloat by centralizing memory, tools, and logic, enabling lean prompts and scalable multi-agent architectures.

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.

Enables local, deterministic semantic operations on OWL/RDF ontologies, including Description Logic reasoning, SPARQL querying, TBox/ABox mutation, and interactive graph visualization via an MCP interface.

Exposes tools that let an agent search a local Markdown-based memory store, fetch full cards by id, write new knowledge cards that are indexed immediately, and inspect or rebuild the SQLite index. All retrieval runs locally over Chinese-friendly full-text search with graded exact/prefix matching, so agents without a memory system can recall prior notes while existing Markdown files stay read-only.

Extends the official Obsidian MCP server with intelligent learning and second-brain features, including AI-generated challenges, progress analytics, spaced repetition, and knowledge gap analysis.