"Tools or methods to help determine a technology stack" matching MCP servers:

Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.

Visual tech-stack inventory of any codebase: languages, frameworks, databases, AI SDKs, infra.

An MCP server that recommends tech stacks for your project. Describe what you're building and get a recommended stack with reasoning, tradeoffs, and what each layer should use.

MCP server enabling stacked Git branch workflows and GitHub PR submission through commands like run_stackline_cmd and learn_stackline.

Provides a native MCP endpoint for Codex that routes to scientific adapters and legacy services, enabling local-first composition of scientific tools without external infrastructure.

Provides a RAG-based search system for 1C:Enterprise platform documentation using hybrid BM25 and semantic search across multiple versions. It enables developers to retrieve API signatures, methods, and usage examples directly within IDEs or through a REST API.

Detects the technology stack behind any website, including frameworks, CMS, analytics, and more, via a single POST request.

Provides AI coding assistants with local access to 4500+ MQL5 documentation files and supplementary ebooks via MCP, enabling efficient search, browsing, and error diagnosis for MQL5 development.

Enables supervised creation of tracking stack resources—WhatConverts accounts/profiles, GA4 properties, and GTM containers—with dry-run-by-default writes, duplicate-name refusal, rate limiting, and an append-only action log.

MCP server for searching Stack Overflow questions and retrieving answers with body content, supporting advanced filters and multiple transport types.

A Model Context Protocol server that integrates with Cursor IDE to provide real-time git-spice documentation search capability.

A simple MCP server implementation in TypeScript that communicates over stdio, allowing users to ask questions that end with 'yes or no' to trigger the MCP tool in Cursor.

Converts any Python Click or Typer CLI into an MCP server automatically — zero-code transformation that introspects CLI commands and exposes them as MCP tools.

Enables existing Express routers to be exposed as MCP tools, dispatching tool calls through the Express middleware stack in-process without a network hop.

MCP-ORTools integrates Google's OR-Tools constraint programming solver with Large Language Models through the MCP, enabling AI models to: Submit and validate constraint models Set model parameters Solve constraint satisfaction and optimization problems Retrieve and analyze solution

A token-efficient MCP server for MySQL, PostgreSQL, and SQLite, providing tools to query databases, execute SQL, and analyze query performance.

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

MCP server that exposes tools to route natural language queries to typed IDs, describe catalog entries, and list repository verification commands for the m-dev-tools organization.

Enables validating JSON/JSONC, getting/setting values with jq-like paths, pretty-printing or minifying, validating against Ajv JSON Schema, and diffing local files or inline strings without network calls.

MCP server for AI agents to send notifications, copy to clipboard, request confirmations, and collect text input from users across their devices.