"Technology stack recommendations for software projects" matching MCP servers:

Enables managing GitHub Projects v2 boards through Claude Code and Codex, including project and item administration, field updates, sprint boards, epic rollups, and desired-state planning.

Provides software design guidance via MCP, including SOLID principles, design patterns, pattern scaffolding, and heuristic code-smell detection to help review and refactor code.

An MCP server that facilitates interactive software development planning by breaking down projects into manageable tasks, tracking progress, and saving implementation plans.

Facilitates software development planning through interactive sessions that break down projects into manageable tasks with complexity scoring, code examples, and implementation plan management.

Health doctor for a home AI stack (Ollama nodes, GPUs, tailnet) with graded confidence, as a CLI, an MCP server and a DSH plugin.

Enables AI agents to read GitHub Projects v2 boards over stdio, letting them list projects and their items across repositories so cross-repository work can be coordinated without scanning every repository. The read-only MVP authenticates via a GitHub App installation token minted at runtime and exposes list_projects, get_project, and list_project_items tools with cursor-based pagination.

Enables clients to retrieve structured work briefings and item details, analyze blockers, and submit next-action proposals through streamable HTTP tools backed by Amazon Bedrock conversations. Supports human-confirmed approval or cancellation while preserving revisions, decision histories, and safe reuse or invalidation of pending proposals.

Enables Claude to function as a full-stack software engineer with comprehensive development capabilities including project creation, database management, frontend/backend development, testing, deployment, and DevOps operations across multiple frameworks and technologies.

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

Enables LLMs to list, open, and close installed software on Windows, macOS, and Linux through natural language.

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.

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

Collection of B2B sales intelligence MCP servers. Includes website analysis, tech stack detection, hiring signals, review aggregation, ad tracking, social profiles, financial reporting and more for AI-powered prospecting

An offline-first MCP server for Indian financial, tax, and government APIs, providing tools for identity validation (PAN, Aadhaar, GSTIN), tax calculations (Income Tax, TDS, GST), and master data lookups (IFSC, Pincode, HSN/SAC) with zero authentication required.

Gives AI coding agents a ten-phase frontend design pipeline (audit, style direction, build, review, verify, perf, brand) with an exclusive style menu. Its verify_page tool loads a URL in a real Playwright browser at mobile and desktop viewports and returns screenshots, ARIA snapshots, console errors, failed requests, horizontal-overflow offenders, axe-core violations, and pointer type.

Free seven-tool proof loop for MCP agents: scoped sessions, bounded authorization, typed outcomes, evidence-bound claims, and tamper-evident local closure. Upgrade to Complete Local for durable memory, recovery, signed traces, release verification, and multi-agent workflows.

The complete open-source SEO data stack for AI agents, integrating Google Search Console, Google Analytics 4, Bing Webmaster Tools, and Microsoft Clarity with built-in analyst tools like cannibalization check, low-hanging fruit, and content gap analysis, all self-hosted and free.

Provides a local groundedness verifier as an MCP server, returning a verdict on whether a draft answer is supported by provided document excerpts.

Enables visual drag-and-drop editing of Mermaid diagrams through Claude, allowing iterative refinement of software architecture designs.

Enables task-aware JST architecture workflows by classifying briefs, scaffolding slices, fetching project-local recipes, and running quality gates through a JST project's own npm scripts.