"Python" matching MCP servers:

A simple note-taking MCP server that allows adding notes and summarizing them via a prompt.

A 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.

A sophisticated AI-powered server providing intelligent, context-aware conversational capabilities with role-based advisors, semantic memory, multi-LLM support, and web browsing.

A 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.

A 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.

A Python MCP server that gives LLMs persistent, searchable access to project context — documentation, architecture decisions, and session notes.

A Python library for storing and querying n-ary relationships with provenance tracking. SQLite-backed, zero configuration.

Provides knowledge graph functionality for managing entities, relations, and observations in memory with strict validation rules to maintain data consistency.

A 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.

Read-only MCP server for retrieving Muninn's memory via a single recall tool, with parity testing against live Python outputs.

Read-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.

A 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).

MCP server that exposes Open WebUI Knowledge Bases as tools and resources, enabling AI assistants to search and access knowledge bases.

A 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.

Python MCP server for programmatic access to markdown-based knowledge vaults, enabling AI assistants to browse, read, search, update, and manage notes, tasks, and projects.

CCR gives MCP-capable AI agents persistent project memory, strategy playbooks, and a sandboxed Python REPL.

Enables AI agents to synthesize and update hierarchical episodic and semantic user profile memory graphs through MCP, using deterministic zero-dependency Python processing with JSON Schema validation.

An HTTP MCP gateway that wraps the mempalace Python CLI, enabling per-user memory palaces for storing and retrieving personal data.

A Python-based server that implements the Model Context Protocol to interface with Claude Desktop as an MCP client, supporting interaction through efficient memory management.

Provides a local CBT exam system as MCP tools for Codex, managing study sessions, scoring, wrong answer tracking, and review queues with deterministic Python engine and optional Notion integration.