A
licenseA
qualityC
maintenanceExtends large language model context length up to 60 times using gravitational memory, designed for Claude Code and Anthropic AI models.
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MIT
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"Using Jira MCP API in Python" matching MCP servers:
- AlicenseAqualityDmaintenanceAn MCP server for managing agent memory using provenance tracking, decay-weighted retrieval, and feedback loops to optimize information recall. It allows agents to store insights in a local SQLite database and rank them based on confidence, age, and usefulness.448MIT
- AlicenseAqualityAmaintenanceAn MCP server implementation that enables interaction with the Letta API for managing agents, memory blocks, and tools in the Letta system.3611377MIT
- AlicenseAqualityCmaintenanceMCP server that enables AI assistants to interact with the MemOS API, providing memory search, feedback management, and knowledge base operations via MCP-compliant tools.10Apache 2.0
- AlicenseAqualityAmaintenanceUnofficial Notion MCP server built on Notion's private API (token_v2 cookie). Gives LLM agents full read/write access to the entire workspace — no integration token and no per-page sharing.11134MIT
- AlicenseCqualityCmaintenancePython stdio MCP server that interfaces with the Logseq local HTTP API, enabling tools to manage pages, blocks, queries, and graph configurations in Logseq.642MIT
- FlicenseCqualityDmaintenanceA simple note-taking MCP server that allows adding notes and summarizing them via a prompt.2
ellmos-homebase-mcpofficial
Alicense-qualityBmaintenanceEnables local-first LLM orchestration with persistent memory, knowledge management, routing, swarm patterns, API probing, tests, automation planning, and plugin discovery via a stdio MCP server, using SQLite for offline storage.4831MIT- Alicense-qualityDmaintenanceProvides knowledge graph functionality for managing entities, relations, and observations in memory with strict validation rules to maintain data consistency.16MIT
- Alicense-qualityBmaintenanceRead-only MCP server for retrieving Muninn's memory via a single recall tool, with parity testing against live Python outputs.MIT
- Alicense-qualityCmaintenanceAn MCP server that acts as an AI knowledge and skills hub, automatically discovering, indexing, and serving skill libraries to any MCP client with full-text search, rich metadata, and hot reload.MIT
- Alicense-qualityCmaintenanceExtends LLM context windows by 15-60× using gravitational memory compression, enabling massive context extension for codebases, research papers, and long documents.93MIT
- Alicense-qualityAmaintenanceMCP server for reading, searching, and optionally writing data in Solid Pods via LDP/RDF with headless client-credentials authentication.10MIT
- Alicense-qualityCmaintenanceAn MCP server that exposes an Obsidian-style markdown vault as agent-readable memory. It provides tools for search, read, graph, and guarded capture without using embeddings.MIT
- Alicense-qualityDmaintenanceA Python-based system that provides AI-powered code reviews through simulated expert personas like Martin Fowler and Robert C. Martin, using the Model Context Protocol (MCP).3MIT
- Alicense-qualityCmaintenanceEnables AI assistants to retain memory across sessions by storing conversations locally in Markdown files, allowing personalization and continuity without external servers.MIT
- Alicense-qualityDmaintenanceA comprehensive Python MCP server with built-in knowledge base (SQLite + FTS5), web management interface, and flexible tool grouping system. Supports multiple transport protocols (stdio, SSE, HTTP Stream) with zero external dependencies.MIT
- Alicense-qualityAmaintenanceEnables managing Zotero reference libraries with full CRUD operations, collections, notes, annotations, and attachments via the Zotero API.MIT
- Alicense-qualityCmaintenanceA private, local-first MCP server that gives any AI long-term memory — its own diary. Zero models, zero network, zero subscription; smarter search than Notion, running entirely on your machine.MIT
- Alicense-qualityCmaintenanceGenerates structured project memory and exposes MCP tools for AI coding agents to query topology, read relevant files, and log changes in a repository.9MIT