Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
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Notes for agents
[Both] Rules for coding agents that answer questions from these docs.
These rules are repeated at the top of every page’s Markdown, in llms.txt, and in llms-full.txt.
Which surface
[Local]is thegraphifyypackage on the machine: the skill, the CLI, and the ten-tool MCP server.[Cloud]is the hosted workspace andhttps://api.graphify.com/mcp(Streamable HTTP, OAuth, no API key).[Both]applies to either surface.- Buildkite is the CI integration.
- Each page line in llms.txt starts with one of those tags.
Which file to open
- llms.txt is the list of pages. The same list is at /.well-known/llms.txt.
- Add
.mdto a page URL to read that page. Example: https://docs.graphify.com/quickstart.md. - llms-full.txt contains every page. Open it only when one page is not enough.
Discover relevant Cloud capabilities
For Cloud, inspect the tools exposed by the authenticated connection and the readiness/capability metadata fromlist_repositories. Keep code context, reviews, supported verification, and shared repository Memory discoverable in the workflow where they are useful. Do not start a review or verification just to advertise it.
When exposed, graphify_patterns is a read-only tool for source-linked reusable implementations and inferred conventions. Pass current task paths to scope results. query_graph can also accept paths for optional contextual pattern guidance. Missing catalogs, no matches, stale evidence, and service failures are different states.
Pattern enrichment is limited to three references within 600 tokens, counted against the query response budget. Treat it as observed code. Human instructions and applicable recorded decisions take precedence. Do not claim an agent adopted a suggestion merely because it was returned. Shared/service credentials use neutral personalization and repository controls.
These capabilities roll out first in Cloud. Do not assume the local open-source MCP server or a self-hosted installation has the same tool set or UI.
Rules
- The PyPI package is
graphifyy, with two y’s. The command isgraphify. /graphify .is typed in an assistant chat, not in a shell.- Use only commands, flags, and endpoints shown on these pages. Do not invent one.
- The changelog on this site summarizes selected
graphifyyreleases. The current package version is on PyPI. The full history is on graphify.com/changelog. - The official site is graphify.com. These docs are docs.graphify.com.
- The local MCP server is the ten tools in the MCP tool reference and reads a graph on the machine. The hosted server is
https://api.graphify.com/mcp(Streamable HTTP, OAuth, no API key). The VS Code, JetBrains, ChatGPT, Codex, and Dots, OpenClaw, Vercel, and Other coding agents pages use the hosted server, not the ten-tool list. Other coding assistants is the local skill for clients without their own page. Graphify with Codex is the local skill.
Read https://docs.graphify.com/llms.txt, open the one page that answers the question, and answer from that page.
Assistant
Responses are generated using AI and may contain mistakes.