Microsoft's utility and MCP server that turn PDF, Word, Excel, PowerPoint, HTML and other files into Markdown for models
MCP servers
An MCP server connects an agent to external data and tools over a single protocol: files, databases, APIs and services. This section lists servers with their transport, auth method and environment variables, an install command and an honest read on the risks.
Describe the task or paste package.json, and Foxx AI will pick matching skills, MCP servers and CLI tools.
Reference MCP servers
Model Context Protocol servers
Official reference MCP servers: Filesystem, Fetch, Git, Memory, Sequential Thinking, Time and Everything
An MCP server built into the Netdata agent: metrics, logs, alerts and live process, service and container data for an AI assistant
Local context compression for agents: tool outputs, logs, files and RAG chunks shrink before reaching the LLM. Proxy, CLI, library and MCP
Up-to-date, version-specific library docs and code examples in your agent's context, via MCP or a CLI plus skill
Local memory for agents: stores conversations and project files verbatim and retrieves them with semantic search over MCP
The Chrome DevTools team's official MCP server: the agent drives a live Chrome, reads network and console, and records performance traces
Indexes a codebase into a knowledge graph and gives the agent call chains, change blast radius and code search over MCP
A self-hosted knowledge base with block-level references and a built-in MCP server for connecting AI agents to your notes
A long-term memory system for AI agents: the agent stores experience and facts, then retrieves them through a built-in MCP server
Microsoft's official MCP server for driving a browser with Playwright through the accessibility tree, no screenshots needed
An MCP server and web tool for improving prompts: three tools for optimizing system and user prompts with iterative refinement
GitHub's official MCP server: code, issues, pull requests, Actions and security alerts straight from the agent
An MCP server that gives agents IDE powers: symbol and reference lookup, symbol-level edits and renames via LSP or JetBrains
Blender MCP
MCP for Blender
An MCP server and Blender addon: the agent creates and edits objects, materials and scenes, pulls assets and runs Python in Blender
A task manager for AI-driven development: breaks a PRD into dependent tasks and guides the agent through them via MCP or CLI
An MCP server with n8n node and template knowledge: the agent picks nodes, validates configs and, with API access, creates workflows in your n8n
Google's open-source MCP server for databases: ready tools for Postgres, MySQL, BigQuery, Spanner and more, plus custom tools in tools.yaml
An MCP server that gives the agent simplified Figma layout data from a link so it can build the screen more accurately than from a screenshot
An MCP server that lets an agent work on your computer: terminal and long-running processes, file search and edits, Excel, PDF and DOCX
AWS's official MCP server suite: docs, IaC, containers, serverless, databases, cost and monitoring
Official Apify MCP server: the agent runs ready-made Apify Store scrapers for social media, maps, search and shops
Official Firecrawl MCP server: web search, page scraping to Markdown, site crawling and in-page actions
An MCP server and CLI from Sentry for building, running and testing Xcode iOS and macOS projects from an AI agent
Frequently asked questions
What is an MCP server?
An MCP server connects an agent to external data and tools over a single protocol: files, databases, APIs and services. The agent calls its tools while it works.
How do I connect an MCP server to an agent?
The entry lists how to run it (npx, uvx, docker or a remote URL) and the environment variables. A config snippet goes into the agent settings.
Do I need a key or a paid account?
It depends on the server. Each entry states the auth method and requirements, including paid accounts, in the limitations block.