Python AI Agent Skills

MCP server for spatial transcriptomics analysis via natural language Using Claude Code / Codex / OpenCode? Just paste this: Manual installation See Installation Guide for detailed setup including virtual environments and all MCP clients. 60+ methods across 15 categories. Supports 10x Visium, Xenium, Slide-seq v2, MERFISH, seqFISH. MIT License · GitHub · Issues

Stop copy-pasting between AI models. Roundtable AI is a local MCP server that lets your primary AI assistant delegate tasks to specialized models like Gemini, Claude, Codex, and Cursor. Solve complex engineering problems in parallel, directly from your IDE. Key Features: - Context Continuity: Shared project context across all sub-agents - Parallel Execution: All agents work simultaneously - Model

Start an OpenAI Codex CLI session for deep reasoning and code analysis

A Model Context Protocol (MCP) server providing geospatial tools for AI agents. Enables Claude, GPT, and other LLMs to perform geocoding, routing, spatial analysis, and file operations. - Geocoding: Convert addresses to coordinates and vice versa (via Nominatim/OSM or Pelias) - Batch Geocoding: Geocode multiple addresses in a single request (up to 10) - Elevation Data: Get altitude for points and

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

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

A Model Context Protocol (MCP) server that implements the Zettelkasten knowledge management methodology, allowing you to create, link, explore and synthesize atomic notes through Claude and other MCP-compatible clients. The Zettelkasten method is a knowledge management system developed by German sociologist Niklas Luhmann, who used it to produce over 70 books and hundreds of articles. It consists

Control your Reclaim.ai calendar, tasks, and habits from AI assistants via MCP. 40 tools across tasks, calendar, habits, focus time, and analytics. See docs/TOOLS.md for complete reference. Registries: PyPI · Smithery · Glama · GitHub · GitLab Limit exposed tools via RECLAIMTOOLPROFILE: Poetry (from source) Note: Use --directory flag instead of cwd – Claude Desktop doesn't respect cwd. Other MCP c

tilde is a privacy-first Model Context Protocol (MCP) server that acts as the universal memory and profile layer for AI Agents. Configure once. Use everywhere. Your data, your control. Supports profile management, skills, resume import, and team sync. Every time you switch AI tools, you face the same issues: - 🔄 Repetition: "I'm a Senior SWE", "I prefer Python", "Don't use ORMs" - 🧩 Fragmentatio

[](https://opensource.org/licenses/MIT) [](https://www.python.org/downloads/) A Telegram bot that gives you remote access to Claude Code. Chat naturally with Claude about your projects from anywhere -- no terminal commands needed. What is this? This bot connects Telegram to Claude Code, providing a conversational AI interface for your codebase: - Chat naturally -- ask Claude to analyze, edit, or e

You are an AI assistant specialized in Python development.

if macbook or linux If the network is slow, you can set up a domestic mirror source. Method 1: On the setting page of cherry-studio, click on the MCP server, then click "Add Server", and subsequently configure it on the page. Method 2: Use the configuration parameters

Ultra-lightweight pure-Python alternative to Claude Code from HKU Data Intelligence Lab. ~98% of Claude Code's core tool capabilities in only 11,733 lines of code. Fully compatible with Anthropic Skills and the Claude Code plugin ecosystem. Supports any OpenAI-compatible model.

Role-playing multi-agent framework in Python. Define agents with roles, goals, and tools; assemble them into crews that collaborate on tasks. Widely adopted as the default "let me try multi-agent" starting point.

Use when user needs capabilities Claude lacks (image generation, real-time X/Twitter data) or explicitly requests external models ("blockrun", "use grok", "use gpt", "dall-e", "deepseek")

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 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.

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

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