"Sage" matching MCP servers:

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.

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.

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

Enables MCP clients to read and search Proton Mail and create draft-only emails with attachments through the local Proton Mail Bridge, while requiring out-of-band human approval before a draft can be committed.

Enables AI to send push notifications to your phone via a configurable gateway. It is a thin wrapper that posts to an Apprise push gateway.

Enables scanning Python repos for dead code and automatically drafting a branch + PR for the safe subset (unused single-name imports) after running the repo's full test suite. All other findings are reported without modification, and a human always merges.

Enables AI agents to query Japan's 47 prefectures' regional minimum wages from official MHLW statistics, including hourly rates, effective dates, and 24-year history.

MCP server for safe LinkedIn automation: official-API posting, comments, and likes plus guest-endpoint job search and a local application tracker.

Enables an editor LLM to run only preconfigured lint, test, and read-only git commands, blocking arbitrary bash execution.

An advanced, AI-powered Model Context Protocol (MCP) server that acts as a comprehensive Growth Auditor, SEO Optimizer, and Code Fixer.

Enables AI agents to query PostgreSQL databases securely with read-only defaults, PII masking, rate limiting, and human-approved, expiring mutation tokens.

Enables Claude Code to work with personal data that stays on the local machine, running SQL, Python, and file/schema inspection in a sandboxed compute-to-data setup that returns only aggregates, schemas, synthetic fixtures, and pseudonymized results. Raw records, file names, and protected values never reach the Anthropic API, so Auto mode can stay hands-off.

A local-first, multi-provider cost meter for LLM usage, exposed as MCP tools. Captures every call into a local SQLite ledger and lets any coding agent query spend, compare providers, and get recommendations — no cloud, no account. First-class support for Chinese providers (Qwen, DeepSeek) alongside Anthropic and OpenAI.

An MCP server that deterministically scores landing pages on conversion-critical signals and blocks ad spend on low-quality pages to prevent wasted budget.

Provides tools to validate SageMaker workloads against the six pillars of the AWS Well-Architected Framework, returning findings with severity levels and recommendations.

Enables MCP-compatible assistants to safely draft new Hancom Office 2022 documents by creating an unsaved document, reviewing proposed edits, and applying only approved changes without touching arbitrary user files.

Connects AI agents to ASPEL SAE Firebird databases, enabling read-only queries for inventory, warehouse, sales, and client data across multiple warehouses and companies.

An MCP server that acts as a gatekeeper for database and configuration changes, requiring proposals, dry-run simulations, and confirmation tokens before applying any modifications.

Enables querying graph invariants and properties, such as matching covered, brick, and snark characteristics, via SageMath-backed MCP tools.

A content fetcher that sanitizes, size-caps, and caches fetched content, protecting against injection attacks via the Model Context Protocol.