MCP Servers
63,654 MCP servers for AI apps. Filter by category, badge and popularity.
AI & Agents
Career and workforce intelligence built on a deep HR ontology — skill taxonomies, role definitions and responsibilities, compensation and incentive structures, learning and development pathways, sourcing strategies, and role/skill evolution mapping. This structured foundation, co
CodePic MCP lets your AI agent (Cursor, Claude Desktop) create editable hand-drawn diagrams directly in CodePic — instead of static images or Mermaid text you paste manually. It returns a link that opens in the editor, where you can move shapes, edit labels, share a read-only link.
Language models generate; Concordance verifies. The verify tool checks a claim deterministically (no model in the loop) and returns HOLDS / BROKEN / INCOMPLETE with the worked reasoning and a sealed receipt (content_hash + cite_url) that re-fetches byte-identical or not at all
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.
