Anyshift for agents

Choose an interface

codex mcp add anyshift-graph --url https://api.anyshift.io/mcp/graph
codex mcp login anyshift-graph

{
  "mcpServers": {
    "anyshift-graph": {
      "type": "http",
      "url": "https://api.anyshift.io/mcp/graph"
    }
  }
}

Use the existing Anyshift Graph MCP connection. Call describe_schema, then list_projects and confirm the bound project is the one I intend to query. If the project cannot be confirmed, stop before reading resources. Choose a non-secret resource kind from the schema and use find_resources to list at most 5 resources. Return their names, kinds, scopes and hashedIDs. If none match, report the empty result; do not invent resources or switch projects.

codex mcp add annie --url https://api.anyshift.io/mcp/remote
codex mcp login annie

{
  "mcpServers": {
    "annie": {
      "type": "http",
      "url": "https://api.anyshift.io/mcp/remote"
    }
  }
}

In the selected Anyshift project, investigate this alert in read-only mode: [paste the alert, affected service and time window]. Use ask_annie with mode=rca, then get_annie_response until the investigation completes or reports a failure. Return the findings, supporting evidence and unresolved questions. Do not change infrastructure or publish messages.

When does the Graph help?

• Use Graph MCP when your agent repeatedly joins resources and changes across infrastructure, code and monitoring. Start with direct source MCPs when one tool already contains the evidence your task needs.
• Anyshift’s cross-system benchmark measured 83.1% fewer model tokens and 46.7% less time with prepared Graph queries. It covered ten tasks in one synthetic environment; it does not measure setup costs or guarantee savings on other tasks.

Start with a task

• Add production context to an existing coding or incident agent through Graph MCP.
• Review a pull request with your own coding agent using Graph MCP. The agent needs the diff; the graph supplies production context.
• Investigate PagerDuty alerts automatically and send findings to a configured Slack channel, or start an on-demand run through Annie Remote MCP.

Connect to your project

• Reuse your existing Anyshift integrations and MCP connection. If you already installed the plugin, Graph MCP is included; do not register it twice.
• For a new connection, follow the setup guide for your client, sign in through browser OAuth and select your project. Both endpoints use Streamable HTTP; no API token belongs in the MCP configuration.
• No Anyshift project yet? Create one and connect the data sources needed for your task. An existing project only needs additional integrations when the required evidence is missing.

Work with graph evidence

• Call describe_schema first to discover the selected project's resource types, relationships and events.
• Use find_resources to resolve a resource, then use its hashedID to inspect relationships and time-bounded changes. Names may repeat across clusters and namespaces.
• Graph MCP is read-only. Inspect returned timestamps, page limits and get_related completeness signals. A truncated or filtered result is not a complete dependency map; missing evidence is not proof of absence.
• The graph keeps three days of history by default; longer history depends on your plan. Check that the incident window is actually covered. Current health cannot establish past health, and related events alone do not establish a root cause.
• Use Cypher only with Graph MCP's query_graph tool. The Graph SDK, API and CLI have their own Graph Query Language; queries are not interchangeable.

Let Annie investigate

• Annie runs incident investigations. Use its web app, Slack or Remote MCP, or configure PagerDuty triggers.
• For PR review and deployment preparation, connect your own agent to Graph MCP. Your agent performs the analysis; Anyshift provides the production evidence.

Queries and runs are different

• A Graph query is a request for data from your Anyshift graph. Use the plugin, Graph MCP, SDK, API or CLI: all share the same query allowance.
• Anyshift agents use a separate run allowance. When you use your own AI provider to query the graph, you pay that provider separately. See pricing for current plan limits.

If you get stuck

Official references