Vara MCP — Field Intelligence Scan Server

Governed external-environment scanning: signal harvest, Field Intel Reports, per-signal lineage.

Should I use this

Quality & Safety

B
Description quality
93%
Schema completeness
64%
Naming quality
80%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~1,017Tokens (tool definitions)
~1.6 KBTypical response size
Moderate attention impact (0.79% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "vara-mcp-server": {
      "url": "https://vara-mcp-server.vercel.app/api/mcp"
    }
  }
}

Remote endpoints

https://vara-mcp-server.vercel.app/api/mcpstreamable-http

What it can do

Tool inventory

Tools (6)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
⚪vara_run_scan(keywords, active_planes, sweep_depth_hours, scan_label, enable_dual_track, ...)

Execute a full Real Vara scan using the operational dual-track, multi-timescale pipeline. This tool changes Vara runtime state.

Input Schema

{
  "type": "object",
  "properties": {
    "keywords": {
      "anyOf": [
        {
          "items": {
            "type": "string"
          },
          "type": "array"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Keywords"
    },
    "active_planes": {
      "anyOf": [
        {
          "items": {
            "enum": [
              "social",
              "scientific",
              "tech",
              "adjacent_possible",
              "economic",
              "dark",
              "geopolitical",
              "persons",
              "firecrawl"
            ],
            "type": "string"
          },
          "type": "array"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Active Planes"
    },
    "sweep_depth_hours": {
      "default": 24,
      "title": "Sweep Depth Hours",
      "type": "integer"
    },
    "scan_label": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Scan Label"
    },
    "enable_dual_track": {
      "default": true,
      "title": "Enable Dual Track",
      "type": "boolean"
    },
    "high_novelty_floor": {
      "default": 0.15,
      "title": "High Novelty Floor",
      "type": "number"
    },
    "weak_novelty_floor": {
      "default": 0.05,
      "title": "Weak Novelty Floor",
      "type": "number"
    },
    "enable_multi_timescale": {
      "default": true,
      "title": "Enable Multi Timescale",
      "type": "boolean"
    },
    "use_firecrawl": {
      "default": false,
      "title": "Use Firecrawl",
      "type": "boolean"
    },
    "generate_fir": {
      "default": false,
      "title": "Generate Fir",
      "type": "boolean"
    }
  },
  "title": "vara_run_scanArguments"
}
🟢vara_list_scans(limit, since, label_contains)

List historical Vara scan metadata from the local archive.

Input Schema

{
  "type": "object",
  "properties": {
    "limit": {
      "default": 20,
      "title": "Limit",
      "type": "integer"
    },
    "since": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Since"
    },
    "label_contains": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Label Contains"
    }
  },
  "title": "vara_list_scansArguments"
}
🟢vara_get_scan(scan_id, include_signals)

Retrieve a complete historical VaraScanReport by scan_id or short prefix.

Input Schema

{
  "type": "object",
  "properties": {
    "scan_id": {
      "title": "Scan Id",
      "type": "string"
    },
    "include_signals": {
      "default": true,
      "title": "Include Signals",
      "type": "boolean"
    }
  },
  "required": [
    "scan_id"
  ],
  "title": "vara_get_scanArguments"
}
🟢vara_query_signals(plane, min_novelty, entity, since, until, ...)

Query the committed Vault corpus and optionally the current Veil hold.

Input Schema

{
  "type": "object",
  "properties": {
    "plane": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Plane"
    },
    "min_novelty": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Min Novelty"
    },
    "entity": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Entity"
    },
    "since": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Since"
    },
    "until": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Until"
    },
    "origin": {
      "default": "any",
      "enum": [
        "passed",
        "veil_promoted",
        "any"
      ],
      "title": "Origin",
      "type": "string"
    },
    "canonized_only": {
      "default": false,
      "title": "Canonized Only",
      "type": "boolean"
    },
    "include_veil_hold": {
      "default": false,
      "title": "Include Veil Hold",
      "type": "boolean"
    },
    "limit": {
      "default": 50,
      "title": "Limit",
      "type": "integer"
    }
  },
  "title": "vara_query_signalsArguments"
}
🟢vara_get_veil_state(plane, signal_id, include_trajectories)

Inspect current Veil hold entries and trajectories.

Input Schema

{
  "type": "object",
  "properties": {
    "plane": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Plane"
    },
    "signal_id": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Signal Id"
    },
    "include_trajectories": {
      "default": true,
      "title": "Include Trajectories",
      "type": "boolean"
    }
  },
  "title": "vara_get_veil_stateArguments"
}
⚪vara_generate_fir(scan_id, series, baseline, format, next_cycle_hint)

Generate an Operator-Tier or lightweight Field Intel Report from a scan_id.

Input Schema

{
  "type": "object",
  "properties": {
    "scan_id": {
      "title": "Scan Id",
      "type": "string"
    },
    "series": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Series"
    },
    "baseline": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Baseline"
    },
    "format": {
      "default": "operator_tier",
      "enum": [
        "operator_tier",
        "lightweight"
      ],
      "title": "Format",
      "type": "string"
    },
    "next_cycle_hint": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Next Cycle Hint"
    }
  },
  "required": [
    "scan_id"
  ],
  "title": "vara_generate_firArguments"
}

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