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Connect your own agent

Connect Cursor, Claude Desktop, or another MCP client to Anything Graph so your agent can query your data through the reasoning layer — not with raw database access.

The MCP server at http://127.0.0.1:3334/mcp is a thin bridge to the Rust reasoning service at http://127.0.0.1:8787. Agents call MCP tools; MCP forwards requests to the reasoning API.

Before you connect

Make sure Anything Graph is running:

anythinggraph start

Check that both services are up:

anythinggraph status
Service URL
Reasoning API http://127.0.0.1:8787
MCP (Cursor / Claude) http://127.0.0.1:3334/mcp

If you have not connected data sources yet, complete Connect your data first.

Connect in Cursor

  1. Run anythinggraph start.
  2. Open Cursor → Settings → MCP.
  3. Add the MCP server URL: http://127.0.0.1:3334/mcp.
  4. Or run anythinggraph mcp print-config and paste the generated JSON snippet.

Example Cursor MCP config (local dev, no auth):

{
  "mcpServers": {
    "anythinggraph-cli": {
      "url": "http://127.0.0.1:3334/mcp"
    }
  }
}

When auth is enabled, add an Authorization header (admin for authoring, user for query-only):

{
  "mcpServers": {
    "anythinggraph-cli": {
      "url": "http://127.0.0.1:3334/mcp",
      "headers": {
        "Authorization": "Bearer admin-secret-change-me"
      }
    }
  }
}

Print a ready-to-paste config from the CLI:

anythinggraph mcp print-config

Connect in Claude Desktop

Use the Claude-specific config snippet:

anythinggraph mcp print-config --target claude

Paste the output into your Claude Desktop MCP configuration.

Verify the connection

In your agent, ask a simple health or discovery question:

Using anythinggraph-cli MCP: list available playbooks and run a health check.

Typical query flow for everyday use:

  1. list_playbooks — see loaded playbook ids
  2. get_playbook_context — read entities and relationships for a playbook
  3. query_graph — ask a business question (plan + execute + proof)

Example prompt (replace the playbook id and names with yours):

For playbook crm-payroll-access: how many accounts does Alex Anderson own?

!!! note "Read-only by design" Live data sources accept SELECT-style reads only. MCP has no insert, update, or delete tools.

MCP tool reference

The anythinggraph-cli MCP server (http://127.0.0.1:3334/mcp) exposes the tools below. Which tools your agent can call depends on the bearer token role (user or admin).

User tools

Tool Purpose
health_check Ping the Rust reasoning service
list_playbooks List playbook ids loaded from playbooks/
get_playbook_context Load playbook schema summary (entities and relationships)
list_entity List rows for a playbook entity (bounded browse; default limit 1000)
sample_entity Return a small sample of rows for a playbook entity (default limit 5)
plan_query Compile a structured federated query into plan IR
execute_plan Execute a compiled plan IR via read-only adapters
query_graph Compile and execute a federated read query in one step (proof envelope)
list_allowed_rows List row identifiers a subject may read under enforced ReBAC rules

Admin tools

Admin tokens include all user tools plus:

Tool Purpose
list_sources List configured data sources from profiles/local.yaml (no secrets)
get_adapter_guide Per-adapter binding authoring guide for a source_id — call before propose_binding
list_bindings List loaded binding file stems in bindings/
get_binding Load one saved binding YAML by stem
introspect_source Read source schema for agent mapping (tables/columns — read-only)
sample_source Read a few raw rows from a source table/collection/object (no playbook required)
suggest_bindings Suggest playbook entity-to-table mappings from introspected schema
propose_binding Validate declarative binding YAML (no SQL)
test_binding Compile a sample query against a proposed or saved binding; optionally execute read-only
save_binding Save declarative binding YAML to bindings/{playbook_id}.{adapter_suffix}.yaml
propose_playbook Validate compact playbook JSON
save_playbook Save compact playbook JSON to playbooks/{playbook_id}.json

!!! note "Profiles are manual" Profiles are never written via MCP — edit profiles/local.yaml yourself. Admin agents use list_sourcesget_adapter_guideintrospect_source before authoring bindings.

Next steps

Follow the playbook authoring path:

  1. Explore your connected data
  2. Suggest a playbook structure
  3. Define access rules (ReBAC)
  4. Create a playbook with your agent
  5. Govern your agent with playbooks