"Sage" matching MCP servers:

Local-first MCP server and CLI wrapper for AI coding agents. SAGE routes shell commands through a tracked local runner, stores command history on the user’s machine, and returns compressed terminal output to reduce noisy context.

Enables Claude Desktop and MCP-compatible agents to formulate, solve, and certify mathematical optimization problems using production-grade open-source solvers, providing mathematically grounded decisions.

An MCP server that provides tools for getting second opinions or detailed code reviews from Gemini 2.5 Pro by embedding file contents in prompts, allowing it to handle large codebases with extensive context.

A unified MCP server for AWS that enables natural language infrastructure management, cross-service resource discovery, and dependency mapping. It features 30 intelligent tools for cost optimization, incident investigation, and multi-account operations protected by a robust safety system.

Enables AI agents to audit URLs or raw HTML for SEO, AEO, and GEO performance, generate llms.txt manifests, and check the tool version via MCP tools.

Hybrid semantic search (dense vector + BM25) over local knowledge bases and codebases, exposed as MCP tools for AI agents to search and list knowledge bases.

A universal AI assistant MCP server that transforms Claude into a multi-talented development assistant with intelligent mode selection, conversation continuity, and smart file handling. Automatically adapts to different tasks like debugging, code analysis, planning, and testing while supporting multiple AI providers and maintaining context across conversations.

A multi-tenant MCP server platform that hosts isolated MCP servers with OAuth/API key authentication for 23+ services, enabling integration with Claude Desktop and other clients via a web interface and CLI.

An academic research server that provides LLMs with full-text search and retrieval access to academic papers and periodicals. It enables research-grounded responses through features like topic filtering and programmatic database expansion.

Query Sage Veterinary Imaging's public data including website content, provider directory, pricing, and location details.

A Model Context Protocol (MCP) server for interacting with the Sage Grande Testbed, enabling users to query sensor data, submit jobs, and manage Sage nodes through natural language.

An MCP server that enables natural language creation and management of Xiaomi Mi Home automation rules, integrating with AI coding assistants to query devices and manipulate automation graphs.

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 Sage 200 (beta): https://www.cdata.com/download/download.aspx?sku=GGZK-V&type=beta

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 Sage 300 (beta): https://www.cdata.com/download/download.aspx?sku=GTZK-V&type=beta

This read-only MCP Server allows you to connect to Sage Cloud Accounting data from Claude Desktop through CData JDBC Drivers. Free (beta) read/write servers available at https://www.cdata.com/solutions/mcp

This read-only MCP Server allows you to connect to Sage 50 UK data from Claude Desktop through CData JDBC Drivers. Free (beta) read/write servers available at https://www.cdata.com/solutions/mcp

This read-only MCP Server allows you to connect to Intacct data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

Enables AI assistants to search, browse, and generate example payloads from Sage Intacct REST API documentation using OpenAPI specs.

MCP server for querying OpenAI usage and cost data, including spend summaries, daily breakdowns, month-over-month comparisons, and token usage by model.

An MCP server that enables AI agents to securely add secrets to .env files by prompting the user to input the value through a local masked dialog, ensuring the agent never sees the secret.