F
license-
qualityD
maintenanceA Model Context Protocol server that enables AI agents to query a Graphiti knowledge graph and pgvector document store for evidence-backed responses via hybrid search and RAG.
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"Python" matching MCP servers:
- FlicenseCqualityDmaintenanceA simple note-taking MCP server that allows adding notes and summarizing them via a prompt.2
- Flicense-qualityDmaintenanceA sophisticated AI-powered server providing intelligent, context-aware conversational capabilities with role-based advisors, semantic memory, multi-LLM support, and web browsing.1
- Flicense-qualityDmaintenanceA Python-based server providing persistent memory management for AI models with SQLite and Markdown dual backend storage. It features full-text search, RAG-enhanced querying, and cross-project knowledge sharing for integration with Claude, Cursor, and Rovo Dev.
- Flicense-qualityDmaintenanceA FastAPI server that implements the Model Context Protocol (MCP) using Server-Sent Events (SSE) transport to provide random cat facts on demand or as a continuous stream.
- AlicenseAqualityCmaintenanceA Python MCP server that gives LLMs persistent, searchable access to project context — documentation, architecture decisions, and session notes.5AGPL 3.0
- Alicense-qualityCmaintenanceA Python library for storing and querying n-ary relationships with provenance tracking. SQLite-backed, zero configuration.14Apache 2.0
- Alicense-qualityDmaintenanceProvides knowledge graph functionality for managing entities, relations, and observations in memory with strict validation rules to maintain data consistency.16MIT
- Alicense-qualityCmaintenanceA Python MCP server that gives AI assistants full access to your Evernote account. It provides 13 tools for searching, reading, creating, updating, and deleting notes; managing tags and notebooks; handling attachments and encrypted content.MIT
- Alicense-qualityBmaintenanceRead-only MCP server for retrieving Muninn's memory via a single recall tool, with parity testing against live Python outputs.MIT
- Alicense-qualityAmaintenanceRead-only MCP server that serves inactive definitions from XRefKit repositories, including Markdown content, workflow catalog, knowledge catalog, skill metadata, and distributable Python tools for client-side execution.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-qualityDmaintenanceMCP server that exposes Open WebUI Knowledge Bases as tools and resources, enabling AI assistants to search and access knowledge bases.4MIT
- 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-qualityBmaintenancePython MCP server for programmatic access to markdown-based knowledge vaults, enabling AI assistants to browse, read, search, update, and manage notes, tasks, and projects.1MIT
- Alicense-qualityBmaintenanceCCR gives MCP-capable AI agents persistent project memory, strategy playbooks, and a sandboxed Python REPL.Apache 2.0
- Alicense-qualityDmaintenanceAn HTTP MCP gateway that wraps the mempalace Python CLI, enabling per-user memory palaces for storing and retrieving personal data.MIT
- Alicense-qualityFmaintenanceA Python-based server that implements the Model Context Protocol to interface with Claude Desktop as an MCP client, supporting interaction through efficient memory management.1MIT
- Flicense-qualityDmaintenanceExecute Python code with persistent state across Claude conversations using a background Jupyter kernel. Supports creating notebooks, managing virtual environments, and maintaining variables/imports between code executions.4
- Flicense-qualityDmaintenanceEnables semantic search over local notes and documents using natural language queries. Supports multiple file types (Markdown, Python, HTML, JSON, CSV, text) with fast local embeddings and persistent ChromaDB vector storage.1
