"Ruby on Rails" matching MCP servers:

Framework-aware code intelligence MCP server that builds a cross-language dependency graph from source code. 53 integrations (Laravel, Django, Rails, Spring, NestJS, Next.js, and more) across 68 languages. 100+ tools for navigation, impact analysis, refactoring, security scanning, session memory, and CI/PR reports — up to 97% token reduction.

Local-first memory engine for AI-agent teams: private/team/project ACL, associative recall, and federated sync across nodes. One SQLite file, no LLM required.

Memory vaults on your own machine, one per life domain, retrieved with a local BM25 index fused with vector search, where the human decides which vaults a model may answer from. Requires the Mnemosyne OS desktop app running locally; it also reports what other coding agents on the same machine are doing.

On Board is a local MCP server that gives multiple AI agents and IDEs a shared project memory, ticket queue, and handoff history, so agents can seamlessly continue each other's work. It supports agent-to-agent wake events, enabling autonomous workflows like reject-fix-resubmit cycles without human relay.

Enables read-only access to the Raily personal agent's data, including agent status, brief, matches, intros, memory, analysis status, and billing status through browser-based OAuth.

Enables source-first orchestration and knowledge indexing with inspectable architectural capabilities through a unified MCP interface, including named-attribute retrieval and atomic knowledge ingestion.

Enables AI agents to find semantic connections and perform text searches in Obsidian vaults using the Smart Connections plugin data.

An LLM-native decision tracking system that captures unexpected engineering outcomes as 'pressure events' to build a persistent learning foundation. It enables AI assistants to manage cases, log surprises, and promote recurring insights into global or project-specific knowledge bases.

Enables sophisticated reasoning workflows using graph-based representations for AI models.

Enables OMP and Pi hosts without the extension to use OpenViking-backed durable conversation capture, scoped recall, verified archives, explicit memory tools, and cross-agent workspace handoffs through eleven viking_* tools and /ov.

Enables persistent, project-scoped memory for OpenAI Codex Desktop and CLI on Windows, capturing prompts and responses through managed hooks, with federated recall across projects and optional local graph extraction.

MCP server that provides AI agents with persistent memory, cross-agent sharing, and context management, enabling them to remember conversations, track complex tasks, and evolve skills across tools.

Serves an AI coding agent a searchable index of a codebase's existing capabilities and past incidents, so it can find and reuse what already exists before writing new code. Also exposes blast-radius analysis for shared code and lets the agent reindex the knowledge base, all via local retrieval with no model calls or API keys.

Enables proof-carrying project execution through a read-only remote MCP endpoint and WebMCP tools for managing Project Passports, task graphs, evidence-backed provider comparisons, route approvals, artifacts, verification records, and checkpoints without executing external providers.

A scientific reasoning framework that leverages graph structures and the Model Context Protocol (MCP) to process complex scientific queries through an Advanced Scientific Reasoning Graph-of-Thoughts (ASR-GoT) approach.

Enables Claude to query Neo4j databases using natural language, running on Cloudflare Workers for serverless deployment.

An inter-agent graffiti wall that lets agents leave traces, comments, and artifacts through MCP tools, with no account required.

Enables DeepSeek Harness to use OpenViking persistent memory by recalling relevant context into conversations, mirroring sessions, committing at thresholds, replaying offline writes, and exposing OpenViking tools via MCP while guarding viking:// URIs.

Persistent memory and pattern learning for AI coding assistants via MCP.

A Model Context Protocol server that provides tools for querying SPARQL endpoints, with specialized support for Proto-OKN knowledge graphs hosted on the FRINK platform.