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2 changes: 2 additions & 0 deletions pages/apis/mcp_server.md
Original file line number Diff line number Diff line change
Expand Up @@ -12,6 +12,8 @@ To start using Buildkite's MCP server, first determine which [type of Buildkite

Once you have established which Buildkite MCP server to use (remote or local) and if local, have [installed the MCP server](/docs/apis/mcp-server/local/installing#install-and-run-the-server-locally) and [configured its API access token](/docs/apis/mcp-server/local/installing#configure-an-api-access-token), you can then proceed to configure your AI tools to work with the [remote](/docs/apis/mcp-server/remote/configuring-ai-tools) (recommended) or [local](/docs/apis/mcp-server/local/configuring-ai-tools) MCP server.

Note: MCP requests count against a separate rate limit from your org's REST API budget. See [[platform limits](https://buildkite.com/docs/platform/limits)](https://buildkite.com/docs/platform/limits) for the specific numbers.

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Blocking: This needs to be scoped to the remote MCP server. The local MCP server section below says local requests count toward the standard REST API rate limit, so as written this tells local MCP users the opposite. The suggestion also fixes the nested Markdown link and uses a docs-relative internal URL.

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Note: MCP requests count against a separate rate limit from your org's REST API budget. See [[platform limits](https://buildkite.com/docs/platform/limits)](https://buildkite.com/docs/platform/limits) for the specific numbers.
> 📘 Remote MCP server rate limits
> Requests made through the remote Buildkite MCP server use a separate per-user rate limit from your Buildkite organization's REST API rate limit. See [platform limits](/docs/platform/limits) for the specific numbers.


## Types of MCP servers

Buildkite provides both a [remote](#types-of-mcp-servers-remote-mcp-server) and [local](#types-of-mcp-servers-local-mcp-server) MCP server, both of which provide access to its [MCP server tools](/docs/apis/mcp-server/tools#available-mcp-tools). The remote MCP server supports OAuth authentication for interactive AI tools and [API token pass-through](#api-token-pass-through-remote-mcp-server) for headless agents.
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