"Ruby on Rails" matching MCP servers:

An MCP server that exposes Ruby on Rails implicit dependencies like callbacks, associations, and concerns to AI coding tools.

Indexes Ruby on Rails codebases into a queryable graph of associations, routes, callbacks, jobs, and mailers, providing a token-efficient alternative to grep for navigating Rails code via Claude Code.

Default-deny action registry, append-only spend ledger, and human sign-off audit trail (MCP tools).

MCP server for creating day-by-day trip itineraries in SQLite, with a planner agent that uses a Tavily search scout via tool boundaries. Enforces guard rails like rejecting activities on out-of-range days.

Enables AI assistants to resolve CIMS parties, quote and send transfers, handle attestation, and track intent lifecycles on the Roots CIMS network, with built-in safety rails that refuse raw addresses and require confirmation before sending.

Enables controlling SketchUp from MCP-compatible clients via a stdio Python server that bridges to a Ruby plugin, supporting component operations, material assignment, scene export, arbitrary Ruby evaluation, and wood joinery tools.

An MCP trading server over a paper broker with a deterministic risk layer that enforces limits before orders reach the handler, ensuring safe AI agent trading.

Enables agents to interact with a governed semantic layer for querying and authoring metrics, providing tools for discovery, planning, validation, and execution of analytics queries.

Enables downloading content from various social media platforms through a unified API. Provides a single tool to download media from multiple social networks using the Social Download All In One service.

Provides tools for Bazi (Chinese astrology) chart calculation and analysis, enabling LLMs to generate accurate birth charts, determine patterns, and answer follow-up questions based on actual calculations rather than model knowledge.

Live USPS, UPS, FedEx and DHL Express parcel rates from a US origin, domestic or to Canada, the UK, Germany and Australia, from a plain-words item description: no scale, no account, no API key. Also creates checkout links, reports checkout status, tracks parcels bought on smklog.com and serves a monthly US parcel price index.

Enables Claude Code and Claude Desktop to command the jev-ultrafast browser agent in your real Chrome, autonomously pursuing plain-language goals on a given start URL while enforcing a domain-bound safeguard.

Enables querying the Urban Institute's Education Data Portal — harmonized federal data on schools, school districts, and colleges — through a discovery-first set of tools that search and describe datasets, fetch raw records or aggregated statistics, decode coded values, and resolve institution names to IDs, with no API key required and read-only access to the live API.

MCP server for AI-assisted development on the Lampa open-source TV app, providing read-only access to the source tree with 41 tools and 5 resources for structured analysis, planning, editing, and validation.

MCP server for system monitoring, enabling users to ask about CPU, memory, disk, network, and processes on their system.

Enables AI agents to answer civic questions about Virginia state, county, and municipal public data, including zoning, parcel, boundary, and Code of Virginia lookups, with provenance on every answer.

Provides MSP support tools (ticket search, draft response, KB search, update) with a deterministic security guardrail that refuses to draft responses for security tickets based on content scanning, even if mislabeled.

MCP server that fetches ServiceNow Community events for a date range and returns them as structured data, optionally writing a CSV. No login or credentials required.

Local-first memory for coding agents. Discovers the memory, instructions, and rules Claude Code, Codex, and Cursor already wrote on your machine, combines them into one canonical Markdown tree, and serves grounded, cited recall through tools like ask_memory and canonical_memory.

Enables AI coding agents to retrieve relevant execution context before a task, compare candidate paths, log outcomes, and search past experiences stored locally in SQLite. It lets agents reuse what worked on similar tasks and get live alerts when a run stagnates or repeats failures.