"A Python library for visualizing neural networks" matching MCP servers:

Enables AI agents to persist memories across sessions and recall them through graph-traversal spreading activation over interconnected neurons with explicit relationship types, supporting multi-hop reasoning fully offline without embedding API costs.

Enables Large Language Models to access and manipulate Autodesk Revit models through a pyRevit-based bridge and the Model Context Protocol.

Enables Claude to access and manage a persistent, human-readable knowledge graph of neurons, with semantic search, memory consolidation, and local ownership.

MCP server for searching and retrieving trading knowledge from a centralized SQLite library of book summaries, strategies, and document chunks.

Provides a 'library keeper' sub-agent that ingests PDF/EPUB books and answers questions grounded in them via local embedding search, with deterministic classification and knowledge gap logging.

Execute Python code via subprocess with timeout and error handling, returning stdout, stderr, and exit code.

Enables Claude clients to access a private local book library, allowing users to list books, search content, and retrieve metadata, chapter summaries, action items, personal notes, and infographic text through MCP tools.

A local stdio MCP server that enables AI tools to search a self-hosted Calibre library over SSH, supporting metadata queries, full-text search, and book details.

This MCP server provides direct access to ruff linting, formatting checks, and ty type-checking for Python projects, with token-efficient, structured output.

MCP server giving AI models direct access to 30M+ resources at ETH Library Zurich – books, maps, images, archival material, and linked-data person records.

An MCP server that lets AI assistants add papers and books to your Zotero library by DOI, arXiv ID, or ISBN, and manage your collections, tags, and items.

An MCP server that enables interaction with Markdown knowledge bases, allowing users to search and retrieve content by tags, text, URL, or date range from their local markdown files.

Historical stock pattern intelligence for AI agents. Search 24M pre-computed chart pattern embeddings across 15K stocks and 10 years. 19 tools: pattern similarity search, forward returns, regime analysis, anomaly detection, sector rotation, earnings reactions, correlation shifts, scenario analysis, and more. Returns what happened historically when charts looked like this — compliance-safe

Python MCP server for SolidWorks automation with 109 tools covering the full CAD lifecycle. Enables AI-assisted design workflows through COM automation on Windows.

提供A股实时行情、历史K线、财务报表、技术指标等全方位数据查询的MCP服务器，支持盘中即时更新及批量查询。

Enables automatically generating standalone MCP servers from any Python library, exposing its functions as deterministic callable tools.

This MCP server provides secure access to databases for AI agents, enforcing authentication, authorization, human approval, logging, and notifications to prevent dangerous actions.

Local MCP server for A-share stock trading via Tonghuashun, offering account/position queries, buy/sell/cancel orders with risk controls and forced user confirmation; currently simulated with a reserved interface for real broker channels.

Enables querying a curated reverse engineering knowledge base covering techniques, anti-analysis bypass, mobile internals, and tools via MCP clients like Claude or Cursor.

Validates AI-generated Python: syntax, lint, security scan and deterministic repair.