Ferramentas

Gives agents long-term memory across sessions with a local knowledge graph of entities, relations and observations, stored in a local JSONL file you can query and edit. Official MCP reference implementation.

Injects up-to-date, version-specific docs and code examples for libraries and frameworks into the agent's context, so it stops using outdated or invented APIs. By Upstash; works anonymously, and a free API key raises the limits.

Lets agents drive a real browser through the accessibility tree: navigate, click, fill forms and take screenshots, without needing a vision model. Maintained by Microsoft.

GitHub's official MCP server: lets agents read and write repositories and code, manage issues and pull requests, and check Actions workflows and code-scanning alerts. Use the hosted remote server or run it locally in Docker; needs a personal access token or OAuth.

Google's open-source database MCP server with ready-made query and SQL tools for dozens of sources, including PostgreSQL, MySQL, BigQuery, Spanner and MongoDB. Define controlled custom queries in tools.yaml.

Cloudflare's official remote MCP servers: manage Workers and bindings such as KV, R2 and D1, and query logs and observability, builds, DNS analytics and Radar data. Authorizes with Cloudflare OAuth; some features need a paid plan.

MCP server built into the official shadcn CLI: lets agents browse and search components, blocks and templates in any configured registry, including private ones, and install them into your project in plain language. The project needs a components.json.

Local MCP server built into Browser Use: lets agents navigate, click, type and extract page content, or hand multi-step tasks to the built-in browser agent. Bring your own OpenAI or Anthropic API key.

Official Storybook addon that exposes an MCP endpoint on the Storybook dev server so agents can look up component docs and props, write and preview stories, and run component and accessibility tests. Storybook must be running; AI features are in preview.

Official MCP reference server for reading, writing, editing, moving and searching local files within an allowlist of directories, adjustable at runtime through Roots. Handy for organizing documents from a desktop client.

Provides a sequential_thinking tool that guides the model to break complex problems into revisable, branching steps. Good for planning, analysis and tasks that need careful iteration. Official MCP reference server.

Gives agents the current time and IANA time zone conversion, detecting the system time zone automatically. No API key needed. Official MCP reference server, written in Python.

Official MCP reference server that fetches web pages and converts them to Markdown for the model, reading long pages in chunks from a given offset. Zero config, but it can reach internal network addresses, so use it with care.

Official MCP reference server for local Git repos: view status and diffs, stage and commit, create and switch branches, and search the commit log by date. Written in Python and runs with uvx; still in early development.

Official OpenBB MCP server exposing the OpenBB Platform's equity, ETF, macroeconomic, crypto and news data to agents; enable only the tool categories you need to save context. Needs uv locally; some data sources need your own API keys. Not investment advice.

Prebuilds a local knowledge graph of your codebase (symbols, call chains, dependencies) so coding agents get relevant source and change impact in one call, kept in sync as files change. Fully local, supports dozens of languages; run codegraph init in each project first.

Lets agents control and inspect a real Chrome: read the console and network requests, take screenshots, and record performance traces with optimization suggestions. Maintained by the Chrome DevTools team.

Indexes a codebase into a persistent knowledge graph with tree-sitter so agents can query call chains, impact, architecture and dead code across 162 languages. A single native binary that runs fully locally with no API key; the installer configures detected clients automatically.

PostHog's official hosted MCP: lets agents query product analytics with HogQL, manage feature flags and A/B experiments, and investigate errors and session replays. Sign in to PostHog to authorize; tool calls are free, though a few LLM-powered tools count toward AI usage.

Lets agents create and edit draw.io diagrams such as flowcharts and architecture diagrams in plain language, with live browser preview, version history and export to .drawio, PNG or SVG. Includes an embedded server; runs locally with no API key.

Trading research agent from HKU's HKUDS whose MCP server offers 70+ tools for quotes, financials, backtesting and research across A-shares, Hong Kong and US stocks and crypto. Needs local Python; HK, US and crypto research need no API key. For research only; not investment advice.

Runs the cognee memory engine as an MCP server whose remember, recall and forget tools write documents and conversations into a knowledge graph and vector store for cross-session retrieval. Start it with Docker or uv first; needs an LLM API key by default, or connect to Cognee Cloud.

Writes conversations and business data into Graphiti's temporal knowledge graph so agents can retrieve long-term memory by entity, fact and time. Open source from Zep; start FalkorDB or Neo4j and the server with Docker first, and configure an LLM API key.

Gives coding agents IDE-like symbol-level code search, editing and refactoring via language servers (LSP) across 40+ languages, with cross-session memory. An optional paid JetBrains plugin backend adds breakpoint debugging. Install with uv first.