19 packages found
An MCP server that empowers AI assistants (Cursor, Claude, Cherry Studio) to search, read, and summarize arXiv papers di
Open source implementation and extension of Google Research’s PaperBanana for automated academic figures, diagrams, and
🕸️ First NetworkX MCP server for graph analysis in AI conversations | Community & Enterprise editions | Graph algorithm
A modular research pipeline that turns trending Reddit discussions into structured market events and options trade ideas
MCP server for Mendeley reference manager - search, retrieve, and manage your academic library from Claude and other MCP
The python library for research and development in NLP, multimodal LLMs, Agents, ML, Knowledge Graphs, and more.
An autonomous agent that conducts deep research on any data using any LLM providers
MCP server for Trading 212 - portfolio analytics, order management, pies, dividends. Works with Claude, ChatGPT, Cursor,
Outcome-based persistent memory MCP server for Claude Code and OpenCode. Good advice promoted, bad advice demoted. pip i
@pghdmaModel Context Protocol (MCP) server for the CallRail REST API v3 — query calls, form submissions, transcripts, and more
Open Python agent harness for production AI apps: tools, MCP, memory, workspace, telemetry, subagents, background tasks,
Open-source deep research MCP. Qwen3-30B-A3B-Thinking via OpenRouter, cited web synthesis for Claude Code, Codex, Cursor
@Abhigyan-ShekharMCP server for external memory layer for AI agents + more . Download from pypi , and get started
Project-scoped Qdrant MCP server for workspace collections with scratchbook functionality. Python port of claude-qdrant-
Benchmarked agent execution runtime for Python. Sub-10ms cold starts, real-time streaming, time-travel debugging, and se
Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents
Action Control for autonomous agents. Check posture. Gate risky actions. Prove execution. Fits your existing agent stack
A Model Context Protocol (MCP) server that implements the Zettelkasten knowledge management methodology, allowing you to
Search infrastructure for AI agents: free by default, MCP-ready, LLM-context aware, and production-grade when needed.