"Information about MCP client software" matching MCP servers:

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

Enables AI assistants to explore, search, and read codebase repositories and API specifications efficiently, with support for file searching, content search via ripgrep, and reading API specs.

MCP server that enables AI agents to analyze legacy code, plan and execute software migrations, generate modern source code, and validate production-ready artifacts through a multi-agent pipeline.

Multi-client MCP server for integrating SonarQube 10.6+ code quality analysis with Amazon Q Developer, supporting multiple simultaneous users, branch analysis, and issue management.

Enables agents to govern evolving software by measuring trajectory, drift, invariants, and incidents, and by forking and measuring alternative futures before adoption.

Gives your AI the super power of traveling back in time to find what went wrong and fix the bug timeline.

Enables storing and querying structured information about software code entities (classes, functions, files) and their relationships (calls, imports) along with qualitative observations like design decisions and change rationale.

Bridges Claude Code with the Godot editor via WebSocket, enabling AI-driven game development commands such as scene tree inspection and code generation.

An HTTP-based MCP server that provides filesystem tools and code analysis, enabling LLMs to read, write, list files, and analyze code securely.

Enables querying any GitHub, GitLab, or Bitbucket repository and getting AI-generated answers about the codebase, powered by Gemini.

Enables asking natural-language questions about any GitHub repository and receiving answers grounded in the actual code, with read-only enforcement and automatic repository fetching.

MCP server that exposes pre-extracted facts about code behavior, design decisions, and assumptions to AI agents, saving time and tokens by avoiding direct source file reading.

truth is a deterministic fact-checker for the claims an AI coding agent makes about its own work.

An AST-based MCP server that provides token-efficient codebase skeletons to LLM agents, reducing context token usage by 80-95% by exposing structural information instead of full source files.

Enables AI agents to debug errors by providing root cause analysis and ranked fixes with code patches. Supports any MCP client.

SSWP MCP — Deterministic software attestation for AI-augmented development. Witness any repo through a 5-gate pipeline, adversarially probe dependencies, and produce self-verifying .sswp.json attestations. Fleet registry across 131 nodes with tamper-proof audit ledger and FTS5 search. Agent-native — one tool call from Hermes, Claude, or Cline.

A read-only MCP server that lets a Claude chat explore your local repository and answer questions about it, returning synthesized answers with file:line references.

Enables Claude to explore, analyze, and answer questions about any public GitHub codebase by connecting to DeepWiki's AI-powered documentation.

Semantic git queries via MCP. Beyond git log — answer who/what/why about any line, file, or branch with blame, co-change, PR linkage.

Policy and quality engine for AI coding agents that enforces team coding standards and provides validation gates for agent-assisted software delivery.