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Bland AI MCP

A curated list of awesome Model Context Protocol (MCP) resources, tools, and server implementations.

A configurable Model Context Protocol (MCP) server for Microsoft SQL Server integration with Claude Code, supporting project-based database access with secure read/write operations.

Mirror of https://github.com/Nayshins/mcp-server-ccxt

DeepNLP OneKey MCP Router to Access Commercial MCP servers for Free Tier and Discounted rates | OneKey MCP or AI Agent Authentication | MCP APIs and AI Agents Moneytization

📈 Experiment with LLM-assisted equity trading flows in a modular sandbox using MCP servers, trader agents, and a simple SQLite database for accounts.

Unified set of trading tools enabling real-time quotes, account management, and orders across Capital.com and eToro for LLM-driven workflows.

A high-performance Model Context Protocol (MCP) server for Apache Ambari implemented in Go.

Model Context Protocol (MCP) server for SoftwareOne Marketplace API. Stdio and HTTP transports for Claude Desktop, Cursor, and Antigravity IDE.

A financial intelligence platform powered by a multi-agent AI architecture, Model Context Protocol (MCP), and a real-time dashboard for deep fundamental research.

A minimal, production-ready implementation of a Model Context Protocol (MCP) using the official C# SDK.

MCP Server to assist in Space Engineers plugin development.

Model Context Protocol server for Esri File Geodatabases. Enables AI assistants to interact with FGDB files through ArcPy for data querying, modification, and schema management.

MCP Server for interacting with Defillama services

Complete cryptocurrency trading and analytics platform built on the Model Context Protocol (MCP)

A basic typescript boilerplate for developing MCP servers

Golang implementation of the streaming MCP HTTP transport with sessions, auth and horizontal scaling

OKX DEX MCP SERVER

MCP server for FreshBooks - Small business accounting software

Der MCP-Server für deutsches Baurecht

27-week Model Context Protocol curriculum — building AI agents with tool use, context management, and multi-agent orchestration