$ loading_
Provide coding agents contextual work orders and let them retrieve or update status.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "kiln" yet — see the docs or source repo.
Please use kiln to fetch the work order related to the current repository, including full context, goals, constraints, and current status.
Returns one or more contextualized work orders so the coding agent can continue the task.
I have finished the API refactor. Use kiln to update the related work order status to in progress and record the key completed steps.
The work order status is updated with a brief progress note.
Use kiln to read the knowledge-graph context for this task and summarize dependencies, pending items, and recommended next steps.
Outputs a task summary based on work-order context, helping the agent avoid missing information.
Developers can connect kiln in an existing project so coding agents read work-order context from the knowledge graph before implementing features or fixes. This reduces errors caused by missing context.
After an agent completes part of the development work, it can use kiln to write back the work-order status for team tracking. It fits workflows where humans and agents collaborate on engineering tasks.
Kiln is an MCP server that gives coding agents fully contextualized work orders from a knowledge graph and supports retrieving and updating work-order status.
Based on the provided description, it mainly does two things: provide contextualized work orders to coding agents and retrieve or update work-order status. For more details, see the source repository.
No documentation was provided, so the installation steps, runtime requirements, and whether keys are needed cannot be confirmed. Please see the source repository.
Design, slice, print, monitor, and safely recover physical objects with agents.
Retrieves company context and presents it as rules, reasoning, skills, and commands.
Give AI coding agents filesystem, Git, database, and compute tools via MCP.
Delegate coding tasks to Codex via MCP with security and result checks.
Enable AI coding agents to communicate, share state, and coordinate work in real time.
Predict reagent stockouts, manage lab inventory, and create orders from Slack.