"Code intelligence tools for LLMs to understand codebase structure and locate functionality" matching MCP servers:

Transforms Figma design data into a compact, LLM-friendly format for code generation, reducing size by 99.5% while preserving UI-critical information.

A generic MCP (Model Context Protocol) server for any Hugo blog, deployed on Cloudflare Workers. It reads your blog's llms.txt and llms-full.txt files and exposes them as structured tools that AI assistants can query to understand your content.

Enables pure text LLMs to understand images by acting as a proxy to vision models via OpenAI-compatible APIs. Supports local files, URLs, and base64 inputs for image analysis.

Provides image understanding capabilities to coding models without vision support by automatically invoking a vision model and returning text descriptions, enabling seamless context-aware coding with images.

Enables fast, token-efficient access to large documentation files in llms.txt format through semantic search. Solves token limit issues by searching first and retrieving only relevant sections instead of dumping entire documentation.

Enables agents to discover the llms.txt index covering any site, fetch its linked documentation pages as markdown, and search across parsed indexes by section heading, link title, and notes.

MCP server that wraps Shopify, Amazon, and Google Maps intelligence tools. AI agents pay autonomously in USDC on Base via x402 — no API keys or accounts needed.

Agent payments ecosystem intelligence. Scans GitHub, Hacker News, and npm for activity across AP2, ACP, x402, MPP, and UCP protocols. Returns scored and classified opportunities. Free protocol info and comparison, paid scan via x402 USDC

Enables access to Usage and Billing APIs for managing accounts, products, meters, plans, and usage reporting. Supports operations like creating products/plans, reporting usage, and retrieving billing information.

A comprehensive MCP server that provides a graph database for tracking software codebase components, their relationships, and associated tasks/goals.

Enables coding agents to run deterministic, zero-dependency AST static analysis over source code, building call graphs and dependency metrics to find orphaned functions, unreachable methods, breaking API surface diffs, and token-bloat clusters, then return a structured refactoring plan. It plugs into MCP clients like Claude Desktop, Cursor, and Windsurf via a single Python entrypoint.

Enables deterministic AST static analysis and call-graph auditing to identify orphaned functions, unreachable methods, and token-bloat clusters, producing refactoring plans that reduce context waste.

Enables AI agents to semantically navigate codebases via an AST index, supporting symbol search, usage lookup, module exploration, and dependency analysis.

Provides Dify apps with a secure, app-scoped MCP tool catalog and action gateway for authorized FlowFlox operations, enabling intent-driven planning and fixed operational processes without exposing global credentials.

Enables domain overviews for security and sales, providing registration, infrastructure, and risk signal data through a simple API request.

Sovereign AI intelligence platform with 73K+ darknet threat intel points, 65+ divination systems, and Norwegian legal database. Tools: threat_search, threat_feed, threat_stats, oracle_reading, norlex_legal.

HTTP-based server that provides semantic code search capabilities to IDEs through the Model Context Protocol, allowing efficient codebase exploration without repeated indexing.

Enables semantic search and retrieval of code files using embeddings stored in PostgreSQL. Supports intelligent codebase exploration through natural language queries, file listing, and content retrieval.

A unified MCP server for academic paper discovery, citation exploration, and research intelligence workflows over multiple scientific knowledge sources.

Integrates Google's Gemini AI models into Claude Code and other MCP clients to provide second opinions, code comparisons, and token counting. It supports streaming responses and multi-turn conversations directly within your existing AI development workflow.