AI & ML

Provides real-time transit data for OC Transpo in Ottawa, including live vehicle positions and trip updates via GTFS-RT feeds. It enables AI agents to monitor arrival delays, schedule changes, and transit telemetry through the Model Context Protocol.

A Python-based Model Context Protocol server that provides 87 tools for comprehensive interaction with the GitHub API. It enables AI agents to manage repositories, issues, pull requests, workflows, and projects through automated commands.

An MCP server that provides Claude agents with a comprehensive memory management system for storing and retrieving episodic, semantic, and procedural knowledge. It enables working memory persistence, knowledge graph integration, and interaction stream capture to enhance agent learning and context retrieval.

A lightweight MCP server that enables AI assistants to manage local Git repositories by executing commands like status, add, and commit. It streamlines development workflows by providing repository context and diffs directly to the assistant.

Search FDA safety data: drug adverse events, recalls, and device events.

12 x402-payable API tools for AI agents. Pay per call with USDC on Base.

Search 150M+ academic works, journals, and funders via Crossref API.

An MCP server that enables AI agents to interact with Nastran FEA models by reading, writing, and analyzing BDF and OP2 files. It provides tools for mesh quality assessment, geometric analysis, and automated report generation for structural engineering workflows.

MCP server for ng-annotate-mcp — exposes Angular browser annotations as MCP tools for AI agents

A production-ready Python MCP server providing tools for fetching live weather data, querying local SQLite databases, reading files, summarizing webpages, and performing safe mathematical calculations. It enables MCP-compatible LLM clients to execute these tasks autonomously as part of agentic workflows.

A universal server that enables MCP-compatible clients (like Claude Desktop, Cursor, VS Code) to access OpenAI's APIs for chat completions, image generation, embeddings, and model listing through a standardized interface.

A specialized MCP server for the Hyperliquid EVM network that allows AI agents to perform DeFi operations like lending, borrowing, and swapping tokens via HyperLend and Kittenswap.

MCP Server for public disclosure information of Korean companies, powered by the dartpoint.ai API.

A machine learning-powered MCP server that predicts video game review scores on a 0-100 scale using Random Forest regression trained on Steam, SteamSpy, and RAWG data.

A comprehensive Model Context Protocol server that provides AI assistants with 158 tools for interacting with the Osmosis blockchain, covering everything from basic queries to direct transaction execution.

Vector embeddings, CloudFormation generation, and OAuth validation for AI workflows

Lightweight ClickUp MCP server - 37 tools, token-optimized (95% smaller responses)

Persistent memory and knowledge graphs for AI agents. Hybrid search, context checkpoints, and more.

Enables network management through Cisco Catalyst Center, providing tools for monitoring device health, tracking client data, and managing network issues. It also supports compliance and lifecycle management by retrieving EoX summaries and detailed security advisory status.

Enables LLMs to interact with the Pipefy GraphQL API to manage pipes, cards, database tables, and records through natural language. It provides tools for searching, creating, and retrieving detailed information about Pipefy workflows and database entities.

Enables users to search, check availability, and book restaurant reservations across Resy and OpenTable platforms. It supports direct booking for Resy and includes an automated reservation 'sniper' for securing high-demand slots the moment they become available.

Enables AI agents to discover each other and communicate through cryptographically verified messaging and secure inbox management via the Agents Registry. It provides tools for Ed25519-based identity authentication, message signing, and agent discovery across domains.

Enables interaction with the DROYD AI trading agent API for cryptocurrency research, project discovery, and market screening. Users can manage watchlists, chat with AI agents, and execute trades directly through MCP-compatible clients.

Manages agent certification by tracking trust scores, capabilities, and test results via a PostgreSQL database. It allows users to verify agent skills, report test outcomes, and automatically certify agents based on performance thresholds.

Integrates Laminar workspaces with AI editors to manage workflows, steps, and configuration stores. It allows users to execute, monitor, and debug workflow executions through natural language commands.

A local MCP server for RAG memory, semantic search, and context optimization using Ollama and SQLite. It serves as a central hub that manages document embeddings, text compression, and proxies calls to other sub-MCP servers.

A token-efficient MCP server for exploring GitHub repositories using tree-sitter AST parsing to extract symbol signatures and summaries. It enables users to search and retrieve specific code components while significantly reducing token consumption compared to raw file dumps.

Enables AI assistants to perform CRUD operations on Supabase databases through natural language. Supports advanced filtering, pagination, and safety checks for seamless database interaction.

Market intelligence for AI agents. Real-time data, cross-market analysis, and regime detection.

AI agent marketplace for automated employees, workflows, skills, and tool orchestration.