MCP servers that give coding agents real developer tooling: linters, package registries, test runners, language docs and local build commands. 13,952 servers in this category.
Enables AI agents to perform autonomous binary analysis, malware research, and CTF challenges using integrated reverse engineering tools.
Lets an AI client ask grounded questions about a repository and get answers with file paths and line numbers.
Provides over 80 production-ready Python examples for building autonomous AI agents, multi-agent systems, and agentic workflows.
Lets an AI client query a multi-repo architecture graph, search code embeddings, and pull service context for spec generation.
Provides a curated directory of infrastructure and services designed specifically for AI agents to use, including email, browsers, memory, and payments.
Retrieves stock prices, company info, financial statements, options chains, holders, and market news from Yahoo Finance.
Provides a local-first SQLite episodic memory engine that allows AI coding agents to maintain project state and architectural decisions across different models.
Lets an AI client list and inspect Portainer environments and manage Docker and Kubernetes resources through the Portainer API.
Lets AI agents browse ITASCA engine docs and run, monitor, and interrupt geomechanics simulations in PFC, FLAC, 3DEC, MPoint, and MassFlow.
$claude mcp add itasca-mcp -- uvx itasca-mcp
Verifies security for AI model artifacts, live endpoints, MCP servers, and recorded agent traces using built-in security rules.
Indexes documentation into heading-based sections so an AI agent can search and fetch only the exact section a task needs.
$claude mcp add jdocmunch-mcp -- uvx jdocmunch-mcp
Analyzes local Codex session metadata to provide exact facts about token usage, costs, credits, and tool patterns.
Adds tools from multiple MCP servers to Ollama chat requests through a transparent proxy API layer.
Lets an AI client run web searches and analyze images with MiniMax AI for coding workflows.
Gives AI coding agents persistent local memory of decisions, solutions, facts and session summaries through MCP tools.
$claude mcp add total-agent-memory -- uvx total-agent-memory
Lets an AI client plan, permission-gate, execute and verify voice, gesture, browser and desktop automation locally on Windows, macOS and Linux.
Gives AI agents live web search, scraping, structured extraction, and one-command business research workflows.
Expose MCP stdio servers as an HTTP API with per-user sessions, background-job timeouts, auth, and SSE push.
Lets AI coding agents query code structure, call graphs, blast radius, and project health across 13 languages, entirely locally.
Indexes local codebases so AI agents can search symbols, call graphs, git history and docs with structured lookups instead of grep.