MCP server
A small server that exposes a set of tools, prompts, and resources to MCP-compatible AI clients via the Model Context Protocol. The server is the unit of capability: write one, ship it, agents can use it.
Why it matters
The MCP server is the atomic unit of agent capability in 2026. Before MCP, agent tooling was vendor-specific (custom GPTs, plugin manifests, vendor SDKs). The same tool you wrote for one assistant did not run on another. MCP is the open standard that changed that; an MCP server you write today runs against Claude.ai, Cursor, Zed, Ajeris, and a growing list of MCP-compatible clients.
Most useful MCP servers are small: 50-200 lines of code wrapping an existing API. The hard part is naming the tools well, writing honest descriptions, and being conservative on parameter design.
How Ajeris handles this
Ajeris is MCP-native on both sides. Internal capabilities (memory, gmail, calendar, meetings, finance) are exposed as MCP servers; user-supplied custom MCP servers connect via URL+auth. The protocol means tools are interoperable; an MCP server you write for Ajeris also works against Claude.ai if you connect it there.
