"RTM" matching MCP servers:

Enables AI agents to query Salesforce DX projects through MCP with compressed component specs, full-text search, dependency relations, annotations, and an interactive architecture map, drastically reducing token usage.

A self-hosted MCP server that fetches live documentation and performs code audits using real-time authoritative references to prevent AI hallucinations. It provides tools for searching documentation across 330+ libraries and scanning local source code for security, performance, and accessibility issues.

MCP server that gives coding agents right-to-left awareness with tools to lint RTL code, normalize Arabic text, and detect text direction.

An MCP server that provides a persistent sandbox for AI coding agents to explore codebases server-side, returning only compact summaries to reduce context consumption.

Enables AI coding agents and IDEs to perform AST-backed semantic Verilog/SystemVerilog code reviews, catching race conditions, reset polarity mismatches, and bitwidth truncations while computing a 0–100 RTL quality score.

Transforms your local repository into a shared project brain using recursive reasoning and local LLMs to analyze, reason, and remember project architecture.

An MCP server implementing the TRUE Recursive Language Model technique for managing large context windows in Claude Code, enabling analysis of codebases beyond 200k tokens by storing content as variables and using LLM-generated code for search and analysis.

MCP server that uses Recursive Language Models to analyze codebases hierarchically, creating a persistent, queryable knowledge map to overcome context window limits and prevent context rot in RooCode.