MCP Servers
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This Snowflake MCP server provides tooling for Snowflake Cortex AI features, bringing these capabilities to the MCP ecosystem. When connected to an MCP client (e.g. Claude for Desktop, fast-agent, Agentic Orchestration Framework), users can leverage these Cortex AI features.
Real-time Solana token risk scoring and momentum signals for AI assistants. Score any pump.fun or Solana token with 4 tools: get_token_risk (0-100 risk score), get_momentum_signal (STRONG_BUY to STRONG_SELL), batch_token_risk (up to 10 tokens), and get_full_analysis (combined version).
The SonarQube MCP (Model Context Protocol) Server is a custom-built AI-powered backend designed to integrate with SonarQube and enable intelligent, context-aware interactions between static code analysis and modern AI agents like GitHub Copilot, VS Code Agents, or any LLM-powered
This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Splunk (beta): https://www.cdata.com/download/download.aspx?sku=FUZK-V&type=beta
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.
