"Understanding Code Relationships or Dependencies" matching MCP servers:

Gemini-powered MCP server for automated code review, analysis, and documentation.

Enables AI agents to control NetEase Cloud Music playback, login, search, and get personalized recommendations through official APIs.

Sandboxed Python execution with automatic dependency management. Executes Python scripts in isolated environments (bubblewrap or Docker) with PEP 723 inline dependencies, preventing host pollution.

Enables non-multimodal models to see images by providing MCP tools for image understanding and OCR, backed by any OpenAI-compatible vision model.

COS-MCP is an MCP server that provides AI-powered organizational continuity planning. It maintains a knowledge graph of employees, systems, projects, and relationships, and exposes tools, resources, and prompts for knowledge graph visualization, risk analysis, employee transition planning, and organizational knowledge base queries.

MCP server exposing TASIE's autonomous SAST, live exploit, and human-gated remediation as tools, enabling ChatGPT clients to scan code, dependencies, and frameworks and receive proof-carrying fixes.

Automates competitive research for startup ideas by executing a 7-step pipeline including idea understanding, competitor discovery, profile extraction, feature comparison, market gap analysis, innovation scoring, and report generation.

A graph-based MCP server that discovers, resolves dependencies, and installs the minimal set of Claude Code components—including skills, agents, and commands—tailored to specific tasks.

Enables querying the LitCoin knowledge graph for nodes, edges, and relationships, with support for semantic similarity search over nodes and edges via MCP.

Query PainSpotter to discover validated business opportunities and trending pain points mined from Reddit, Hacker News, and Product Hunt.

Enables querying git commit history to analyze when and why code changes happened, providing authorship context and diffs for specific modules.

An MCP server that lets Claude analyze your TradingView charts by reading the window and taking screenshots, with no write tools or trade execution.

Enables a Claude Code agent to drive Big Interview ResumeAI locally over stdio, exposing six tools for checking auth status, listing, starting, monitoring, retrieving feedback for, and deleting resume scans. Every call returns structured success or error payloads for reliable agent workflows.

Code-mode MCP server (docs_search + execute_code two-tool surface) backed by a unified capability manifest across three sandbox kernels (in-process node:vm, WASM via QuickJS / Pyodide / Wasmtime, and remote microVM via E2B / Cloudflare Sandbox). At N=30 tools the bootstrap-context cost drops to 13.6% of direct tool-use. Apache-2.0.

Enables AI assistants to interact with Intervals.icu fitness tracking and wellness data, allowing users to fetch, filter, and group activities or health metrics. It provides structured summaries of workouts and physical well-being through natural language queries.

MCP server that enables cloud models (like Gemini/Claude) to delegate coding tasks to a local llama.cpp server, preserving cloud usage limits through an AI-powered code review loop.

Enables management of Kylas CRM lead operations, including creating leads, searching and filtering records, and resolving user, product, or pipeline IDs. It provides specialized tools for monitoring idle leads and accessing lead schema instructions through natural language.

Provides CodeQL language intelligence to AI agents via MCP, enabling completions, hover, definitions, references, diagnostics, formatting, and in-memory file updates for QL code.

MCP server for managing ParchMark notes via Claude Code/Desktop. Provides tools to list, get, create, update, and delete notes through natural language.

Bridges a local AI agent to a Colab session in the browser, enabling code execution and file operations through the Model Context Protocol.