Python AI Agent Skills

A Model Context Protocol (MCP) server that exposes FinBrain datasets to AI clients (Claude Desktop, VS Code MCP extensions, etc.) via simple tools. Backed by the official finbrain-python SDK. - Package name: finbrain-mcp - CLI entrypoint: finbrain-mcp - Documentation: finbrain.tech/integrations/mcp Access FinBrain's machine learning price forecasts with daily (10-day) and monthly (12-month) horizo

An MCP server that analyzes order book depth and imbalance across major crypto exchanges, empowering AI agents and trading systems with real-time market structure insights. - Order Book Metrics: Calculate bid/ask depth and imbalance for a specified trading pair on a given exchange. - Cross-Exchange Comparison: Compare order book depth and imbalance across multiple exchanges in a unified Markdown t

GXtract is a Model Context Protocol (MCP) server designed to integrate with VS Code and other compatible editors. It provides a suite of tools for interacting with the GroundX platform, enabling you to leverage its powerful document understanding capabilities directly within your development environment. - Architecture - Prerequisites - Installing UV - Quick Start: VS Code Integration - Available

An MCP server that detects potential risks in Solana meme tokens, helping AI agents avoid rug pulls and unsafe projects. - Token Analysis Tool: The analysistoken tool retrieves and processes Solana token data from the Solsniffer API. - Structured Output: Returns detailed token information including name, symbol, Snif score, market cap, price, supply, risks, and audit status. - Python 3.10 or highe

Python framework for building agents with memory, knowledge, and tools. Ships an agent playground UI and API server. Marketed as "5,000× faster than LangGraph" for hot-path agent instantiation.

Built by Matious — We build custom AI tools and MCP servers for businesses. Managing Google Ad Manager is tedious. Creating campaigns, uploading creatives, and configuring line items involves countless clicks through a complex UI. This MCP server changes that. Connect it to Claude and manage your entire ad operations through conversation: - "Create a new campaign for Nike ending December 31st" - "

A Model Context Protocol (MCP) server for querying the CVE-Search API. This server provides comprehensive access to CVE-Search, browse vendor and product、get CVE per CVE-ID、get the last updated CVEs. - python 3.10+ - Cline、Roo Code etc - To get a JSON with all the vendors - To get a JSON with all the products associated to a vendor - To get a JSON with all the vulnerabilities per vendor and a spec

1. 入门示例: tablestore-java-mcp-server 2. 基于 MCP 架构实现知识库答疑系统: tablestore-java-mcp-server-rag - 实现一个目前最常见的一类 AI 应用即答疑系统，支持基于私有知识库的问答，会对知识库构建和 RAG 做一些优化。 1. 入门示例: tablestore-python-mcp-server 1. Mem0-OpenMemory-MCP: tablestore-python-mem0-mcp-server 欢迎加入我们的钉钉公开群，与我们一起探讨 AI 技术。钉钉群号：36165029092

An open source MCP (Model Context Protocol) server empowering SREs with intelligent observability, predictive analytics, and AI-driven automation across Kubernetes, OpenShift, and Tekton environments. - Quick Start - Prerequisites - Installation - Usage Examples - Configuration - Available Tools - Architecture - How It Works - MCP Client Integration - Performance Considerations - Troubleshooting -

A Model Context Protocol (MCP) server that provides access to GitHub's GraphQL API. This server exposes a single tool that allows executing arbitrary GraphQL queries and mutations against GitHub's API. - Execute any GraphQL query against GitHub's API - Comprehensive error handling and reporting - Detailed documentation with example queries - Support for variables in GraphQL operations - Python 3.1

A Mattermost integration that connects to Model Context Protocol (MCP) servers, leveraging a LangGraph-based AI agent to provide an intelligent interface for interacting with users and executing tools directly within Mattermost. - 🤖 Langgraph Agent Integration: Uses a LangGraph agent to understand user requests and orchestrate responses. - 🔌 MCP Server Integration: Connects to multiple MCP serve

A production-ready Model Context Protocol (MCP) server for Method CRM API integration. This server enables LLMs to interact with Method CRM data through well-designed tools for tables, files, users, events, and API key management. - 20 Comprehensive Tools covering all Method CRM operations - API Key Authentication (fully implemented) with OAuth2 placeholders - Dual Transport Support: stdio (local)

An MCP server that connects to OPC UA-enabled industrial systems, allowing AI agents to monitor, analyze, and control operational data in real time. This project is ideal for developers and engineers looking to bridge AI-driven workflows with industrial automation systems. - Read OPC UA Nodes: Retrieve real-time values from industrial devices. - Write to OPC UA Nodes: Control devices by writing va

An MCP server (stdio transport) that wraps Hugging Face's LocalPythonExecutor (from the smolagents framework). It is a custom Python runtime that provides basic isolation/security when running Python code generated by LLMs locally. It does not require Docker or VM. This package allows to expose the Python executor via MCP (Model Context Protocol) as a tool for LLM apps like Claude Desktop, Cursor

Product Hunt MCP Server connects Product Hunt's API to any LLM or agent that speaks the Model Context Protocol (MCP). Perfect for AI assistants, chatbots, or your own automations! - 🔍 Get posts, collections, topics, users - 🗳️ Get votes, comments, and more - 🛠️ Use with Claude Desktop, Cursor, or any MCP client - Get detailed info on posts, comments, collections, topics, users - Search/filter b

A Model Context Protocol (MCP) server that automates optimization and analysis using Optuna. The Optuna MCP Server can be used in the following use cases, for example. - Automated hyperparameter optimization by LLMs - Interactive analysis of Optuna's optimization results via chat interface - Optimize input and output of other MCP tools For details, see the Examples section. The Optuna MCP server c

light weight MCP for code that just works A super light-weight, effective embedded MCP (AST-based) that understand and searches your codebase that just works! Using CocoIndex - an Rust-based ultra performant data transformation engine. No blackbox. Works for Claude, Codex, Cursor - any coding agent. - Instant token saving by 70%. - 1 min setup - Just claude/codex mcp add works! Please help star

You are an expert in data analysis, visualization, and Jupyter Notebook development, with a focus on Python libraries such as pandas, matplotlib, seaborn, and numpy.

An MCP server that tracks the historical changes of Twitter usernames—frequent screen name changes in crypto projects can be a red flag for potential scam risks. - Username Change History: Query the historical usernames of a Twitter user by their current screen name (e.g., @OSINTUkraine or @Mormonger). - Prompt Support: Includes a prompt template to guide users in formulating queries. - Lightweigh

An MCP server that aggregates live governance proposals from major DAOs enabling AI agents to track, analyze, and act on decentralized decision-making in real time, powered by Snapshot. - listspaces: Fetches a list of up to 10 recent Snapshot spaces, including their IDs, names, and descriptions. - listproposals: Retrieves up to 10 recent proposals for a given Snapshot space, including proposal IDs

Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.

A Model Context Protocol (MCP) server for tracking cryptocurrency whale transactions using the Whale Alert API - Prerequisites - Installation - Running in Development Mode - Integrating with Claude Desktop - Direct Execution - API Key Configuration - Acknowledgements The whale-tracker-mcp server is a Python-based implementation of the Model Context Protocol (MCP) that integrates with the Whale Ale

English | 中文 A lightweight JVM monitoring and diagnostic MCP (Multi-Agent Communication Protocol) server implementation based on native JDK tools. Provides AI agents with powerful capabilities to monitor and analyze Java applications without requiring third-party tools like Arthas. - Zero Dependencies: Uses only native JDK tools (jps, jstack, jmap, etc.) - Lightweight: Minimal resource consumption

Master Temporal workflow orchestration with Python SDK. Implements