"CSS Modules" matching MCP servers:

MCP server providing permanent, intelligent memory for AI coding assistants with retrieval, Hebbian learning, and governance, plus personal memory modules for accounts, habits, experiences, knowledge, and lifestyle. Enables AI assistants to recall project context across sessions and manage personal data securely.

Enables LLMs to search Odoo modules in OCA repositories using hybrid search (semantic + full-text) for finding the perfect module quickly.

An MCP server that aggregates real-time cryptocurrency news from multiple RSS feeds.

A server implementing Model Context Protocol that enables AI assistants to interact with Slack API through a standardized interface, providing tools for messaging, channel management, user information retrieval, and more.

Cognitive memory engine for AI agents with 5,100+ knowledge modules, circadian rhythm awareness, emotional state tracking (PAD model), and hybrid semantic search. Supports persistent per-user memory, project-scoped contexts, and multi-protocol access.

A local-first MCP server that provides a shared Markdown-based memory for AI coding agents, enabling cross-agent context persistence via tools like memory_search and memory_capture.

Enables users to subscribe to RSS feeds, read clean extracted article text without ad-heavy sites, and perform full-text and semantic searches using local SQLite storage with no account required.

A ready-to-use starter implementation of the Model Context Protocol (MCP) server that enables applications to provide standardized context for LLMs with sample resources, tools, and prompts.

Enables AI agents to perform real-time web search, research, and content extraction using You.com's search infrastructure, with a free tier available.

Read-only MCP server for a content contract layer: protocol, modules, pipelines, assets, library. 一句话 / One-liner（ZH）：给任何 AI agent 一个可校验的内容规范与资产底座——先查契约，再落笔。 描述 / Description：只读 MCP 服务器：把长内容的验收标准（协议 / 模块 / 管线 / 资产 / 馆藏）变成 agent 可调用的检索与取件工具面。10 个只读工具 + 1 个 prompt（assemble_guide）；支持 modern 2026-07-28 与 legacy 2025-11-25 双协议；零第三方依赖（Python 标准库）；无写路径。 仓库 / Repo：https://github.com/Monyeah777/NinFenz 站点

Provides AI agents with long-term memory that tracks temporal validity and corrections, enabling context-aware retrieval of past facts via MCP tools.

MCP server with 32 tools for ETL ingestion, AI-generated data quality rules, AI transformations, vector search, and natural-language SQL. Works across Postgres, MongoDB, Kafka, S3/MinIO, HashiCorp Vault, and five vector stores (Qdrant, Weaviate, Milvus, Chroma, pgvector).

Enables AI agents to create, search, and manage subject matter expert profiles, including private workspace organization and moderated sharing to a common library.

Enables intelligent RSS feed management with AI-powered semantic search, advanced filtering, and a comprehensive reading workflow. Supports OPML parsing, article organization with status tracking, and token-efficient browsing of large feed collections.

Enables AI agents to search and retrieve past chat transcripts from Cursor, Claude Code, and Kiro, providing a global, local memory for context-aware assistance.

An MCP server that enables AI assistants to access up-to-date documentation for Python libraries like LangChain, LlamaIndex, and OpenAI through dynamic fetching from official sources.

Bridges MCP to a self-hosted Mem0 OSS server, enabling memory management operations like adding, searching, updating, and deleting memories.

Enables AI agents to search and retrieve source-grounded memory records from a local Markdown vault and SQLite index, and to build bounded task contexts through stdio MCP. Supports normal and bounded tool modes while respecting scope, lifecycle status, and response limits.

Enables semantic retrieval over a structured Quran and classical exegesis library, returning relevant source chunks and verified references for thematic research queries.

An MCP server that fetches RSS feeds and shares them with LLMs, allowing AI assistants to access and present the latest news and articles from configured feeds.