What data does buildkite-mcp-server expose?
It exposes Buildkite pipelines, builds, jobs, and tests via the Model Context Protocol.
@buildkite
Basic information
Official MCP Server for Buildkite.
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
A Model Context Protocol (MCP) server that exposes Buildkite data—pipelines, builds, jobs, and tests—to AI tooling and editors.
Refer to the full documentation at buildkite.com/docs/apis/mcp-server for installation and configuration instructions.
It exposes Buildkite pipelines, builds, jobs, and tests via the Model Context Protocol.
No, the exported Go API is considered unstable and subject to breaking changes as the project evolves.
It is recommended to run it in a container; the image is built from Chainguard static and runs as an unprivileged user.
Full documentation is available at [buildkite.com/docs/apis/mcp-server](https://buildkite.com/docs/apis/mcp-server).
MIT © Buildkite (SPDX-License-Identifier: MIT).
A one-of-a-kind resume builder that keeps your privacy in mind. Completely secure, customizable, portable, open-source and free forever. Try it out today!
PickFu MCP is a Model Context Protocol (MCP) server that connects AI assistants, developers, marketers, product managers, and AI agents to PickFu's consumer research platform. It enables users to create surveys, conduct
Hindsight: Agent Memory That Learns

See and control a real Windows PC you own — from any MCP client, locally or remotely. Observe (UIA + screenshots), click/type/drag/scroll, launch apps, owner Live View. BYOH: your machine, your key.

B2B competitive intelligence, live sales battlecards, 5-axis ICP prospect fit scoring, and tech stack teardowns over MCP and REST with cited public-web evidence.
Comments