Python AI Agent Skills

- 🔍 Multi-Provider Search - Search across Pexels and Unsplash simultaneously - 📊 Rich Metadata - Get comprehensive image details including dimensions, photographer info, and licensing - 📄 Pagination Support - Browse through large result sets with ease - 🛡️ Graceful Error Handling - Robust error handling for API failures - ⚡ Async Performance - Lightning-fast concurrent API calls - 🎯 Provider

An MCP server that provides real-time gas price predictions across multiple blockchains, powered by Blocknative. - predictgasprice: Fetches gas price predictions for a specified chain (default: Ethereum Mainnet, chainid=1), including base fee and a table with confidence levels, price, max priority fee, and max fee. - estimategascost: Estimates transaction costs based on gas limit, confidence level

An MCP server that provides AI agents with structured, real-time data on cryptocurrency investment funds, enabling deeper due diligence and portfolio intelligence. - Tools for Data Access: - getallfunds(): Retrieve a complete list of all investors and funds. - searchfunds(tier, type, sortBy, sortDirection, limit, skip): Search and filter funds with sorting and pagination. - getfundbasic(fundid): G

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

An MCP server that enables cross-chain token transfers via the Stargate protocol. - Chain Discovery: List all supported blockchains with key details. - Token Discovery: Find bridgeable tokens across chains. - Quote Fetching: Get real-time bridge quotes with fees, estimates, and transaction steps. - Automated Bridging: Execute transfers with automatic signing and broadcasting using your private key

An MCP server serving as a structured knowledge base of crypto whitepapers for AI agents to access, analyze, and learn from. - Search Whitepapers: Use DuckDuckGo to find whitepaper PDFs for cryptocurrency projects. - Load Whitepapers: Download and index whitepaper PDFs into the knowledge base. - Query Knowledge Base: Query whitepaper content with optional project filtering. - List Projects: View a

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

An MCP server that provides real-time funding rate data across major crypto exchanges, enabling agents to detect arbitrage opportunities. - Real-Time Funding Rates: Fetches current funding across Binance, OKX, Bybit, Bitget, Gate and CoinEx. - Pivoted Table Output: Displays symbols as rows, exchanges as columns, and includes a Divergence column for max funding rate difference. - Claude Desktop Int

An MCP server that delivers real-time market odds from Polymarket, enabling AI agents and analysts to access, compare, and act on decentralized prediction data. - Event Retrieval: Fetch Polymarket events with details (title, description, endDate, volume) and associated markets in a tabulated format. - Market Retrieval: Retrieve markets with key fields (question, zipped outcomes and outcomePrices,

An MCP server that tracks newly created liquidity pools on Uniswap across nine blockchain networks — Ethereum, Base, Optimism, Arbitrum, Polygon, BNB Smart Chain (BSC), Avalanche, Celo, and Blast — providing real-time data for DeFi analysts, traders, and developers. - Monitors Uniswap V3 pool creation across 9 blockchain networks. - Customizable time range and result limits for querying new pools.

An MCP server that provides AI agents with real-time access to DEX liquidity pool data, enabling smarter trading, analytics, and automated strategies. - Query Supported Networks: Retrieve a list of supported blockchain networks on GeckoTerminal. - Query Supported DEXes: Fetch DEXes available on a specific network. - Fetch New Pools: List the latest pools across all networks or a specific network,

An MCP server that delivers crypto ETF flow data to power AI agents' decision-making. - Unified Tool: The getetfflow tool dynamically fetches historical ETF flow data for BTC or ETH. - Markdown Table Output: Leverages pivot tables to present data with ETF tickers as columns, dates as rows, and a total column for summed flows. - Prompt Guidance: Includes a prompt (etfflowprompt) to streamline LLM i

The memory system for AI coding agents. Decisions, lessons, and context that persist across sessions. mcp-name: io.github.omega-memory/omega-memory AI coding agents are stateless. Every new session starts from zero. - Context loss. Agents forget every decision, preference, and architectural choice between sessions. Developers spend 10-30 minutes per session re-explaining context that was already e

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

Headless IDA Pro binary analysis via Model Context Protocol. Go orchestrates multi-session concurrency while Python workers handle IDA operations. Key features: - Multi-session concurrency via process isolation - 52 MCP tools for binary analysis - Automatic session timeouts (4 hours default, configurable) - Paginated results with configurable limit (default 1000) - Il2CppDumper metadata import for

이 프로젝트는 GeekNews에서 아티클을 가져오는 Model Context Protocol(MCP) 서버입니다. Python으로 구현되었으며, BeautifulSoup을 사용하여 웹 스크래핑을 수행합니다. 서버 부하를 줄이기 위해 하루에 한 번 자동으로 데이터를 파싱하고 캐시에 저장하는 기능을 제공합니다. - getarticles 도구: GeekNews에서 아티클을 가져오는 기능 - 아티클 유형(top, new, ask, show)과 반환할 아티클 수를 지정할 수 있음 - 각 응답에는 제목, URL, 포인트, 작성자, 시간, 댓글 수, 순위 정보가 포함됨 - 캐시된 데이터를 사용하여 서버 부하 감소 - getweeklynews 도구: GeekNews에서 주간 뉴스를 가져오는 기능 - 특정 주간 뉴스 ID를

MCP server for Bitbucket API operations. Works with Claude Code, Claude Desktop, Cursor, and any MCP-compatible client. This repository contains both TypeScript and Python implementations: - Repositories: get, create, delete, list, update (move to project, rename) - Pull Requests: create, get, list, merge, approve, decline, request changes, comments, diff - Pipelines: trigger, get status, list, vi

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arcticdb-mcp An MCP server for structured read/write access to ArcticDB. Overview • Quick Start • Configuration • Development arcticdb-mcp turns ArcticDB into an AI data copilot. Assistants can automate symbol updates, batch jobs, and time-series queries while built-in versioning protects every change. Go from question to data change in minutes, not scripts, with full traceability. You can also de

An MCP server focused only on Overleaf projects (via Overleaf Git sync). .env example: - OVERLEAFTOKEN is required. - projectid can be passed per tool call, or use default PROJECTID. - Overleaf Git access requires a plan that supports Git integration. Add to ~/.config/Claude/claudedesktopconfig.json: - Python 3.13+ - uv package manager MIT - See LICENSE

You've had thousands of AI conversations. You can't search any of them. ⬆️ Auto-playing preview — click here for full video with audio Documentation · Quickstart · ❓ FAQ · All 25 Tools If this is useful, a ⭐ helps others find it. Restart Claude. 25 tools available. Keyword search works immediately. Alternative: pip install Setup for specific clients After setup, just say "use brain" in an

Search your past ChatGPT conversations directly from Claude Desktop. Switched from ChatGPT to Claude? Now you can ask Claude things like "What did I discuss about marketing strategy in ChatGPT?" and get real answers — without going back to ChatGPT. Step 1 — Export your ChatGPT data In ChatGPT: Settings → Data Controls → Export Data. You'll get an email with a .zip file. Step 2 — Run the installer

stats-compass-mcp Turn your LLM into a data analyst. Multiple data science tools via MCP. Restart your client and start asking questions about your data. Run stats-compass-mcp list-tools to see all available tools. Start your message with "Use stats compass to..." — this tells the AI to use the Stats Compass tools instead of trying to write code or use other methods. Local mode: Start with "Use st

A Model Context Protocol (MCP) server for the Mailchimp Marketing API. 53 tools to query and manage your Mailchimp account directly from Claude. Uses the Mailchimp Marketing API via requests. Not based on the official mailchimp-marketing-python client. I hit too many issues with it so I went with raw HTTP calls instead. - Campaigns - List, search, and inspect campaign details - Reports - Open/clic