{
  "name": "exmxc MCP Endpoint",
  "entity": {
    "name": "exmxc",
    "domain": "https://exmxc.ai",
    "founder": "Mike Ye"
  },
  "registry": "https://mcp.exmxc.ai/.well-known/tool-registry.json",
  "openapi": "https://mcp.exmxc.ai/.well-known/openapi.json",
  "manifest": "https://mcp.exmxc.ai/.well-known/manifest.json",
  "capabilities": "https://mcp.exmxc.ai/capabilities.json",
  "mcp_transport": "https://mcp.exmxc.ai/mcp",
  "protocol_versions": [
    "2025-11-25",
    "2025-06-18"
  ],
  "tools": [
    {
      "id": "ex.ai_commerce.signal.get",
      "title": "Get AI Commerce Signal",
      "description": "Versioned AI commerce evidence: signed-in app selection method checks, separate provider-API tests, shopper experience gates, and attributed survey, referral, and search context. No inferred agent purchases or market-share score.",
      "endpoint": "https://mcp.exmxc.ai/ai-commerce/signal",
      "inputSchema": {
        "type": "object",
        "properties": {
          "release": {
            "type": "string",
            "description": "Exact immutable release identifier; omit for latest."
          }
        },
        "additionalProperties": false
      }
    },
    {
      "id": "ex.ai_power.rankings.get",
      "title": "Get AI Power rankings",
      "description": "Current exmxc editorial rankings and forecasts for 50 companies in 2026, 2027, and 2030 using the fixed Four Forces methodology. Immutable monthly editions preserve prior judgments.",
      "endpoint": "https://mcp.exmxc.ai/ai-power/rankings",
      "inputSchema": {
        "type": "object",
        "properties": {
          "edition": {
            "type": "string",
            "description": "Exact dated edition ID; omit for latest."
          },
          "year": {
            "type": "string",
            "enum": [
              "2026",
              "2027",
              "2030"
            ],
            "description": "Sort highest power first for this year; defaults to 2026."
          }
        },
        "additionalProperties": false
      }
    },
    {
      "id": "ex.entities.get",
      "title": "Get Entity Intelligence Records",
      "description": "Institutional entity intelligence dataset including industry, entity_type, posture, capability, and ECC scoring.",
      "endpoint": "https://mcp.exmxc.ai/entities",
      "inputSchema": {
        "type": "object",
        "properties": {
          "industry": {
            "type": "string"
          },
          "entity_type": {
            "type": "string"
          },
          "posture": {
            "type": "string"
          },
          "capability": {
            "type": "string"
          }
        },
        "additionalProperties": false
      }
    },
    {
      "id": "ex.speg.get",
      "title": "Get sPEG Valuation Records",
      "description": "Scarcity-adjusted PEG valuation dataset covering AI infrastructure companies.",
      "endpoint": "https://mcp.exmxc.ai/speg",
      "inputSchema": {
        "type": "object",
        "properties": {
          "sector": {
            "type": "string"
          },
          "scarcity_layer": {
            "type": "string"
          },
          "ticker": {
            "type": "string"
          }
        },
        "additionalProperties": false
      }
    },
    {
      "id": "ex.speg.index.get",
      "title": "Get sPEG Index v1 Profiles",
      "description": "Evidence-backed durable-scarcity profiles with independently gated draft inclusion recommendations, immutable release semantics, full source provenance, and valuation fields kept separately nullable.",
      "endpoint": "https://mcp.exmxc.ai/speg/index/v1",
      "inputSchema": {
        "type": "object",
        "properties": {
          "query": {
            "type": "string",
            "description": "Optional issuer name, stable ID, or common ticker alias."
          },
          "decision": {
            "type": "string",
            "enum": [
              "include",
              "watchlist",
              "insufficient_evidence",
              "exclude"
            ]
          },
          "membership_state": {
            "type": "string",
            "enum": [
              "member",
              "under_review",
              "removed"
            ]
          },
          "release": {
            "type": "string",
            "description": "Exact immutable release identifier."
          }
        },
        "additionalProperties": false
      }
    },
    {
      "id": "ex.datasets.index.get",
      "title": "Get Dataset Index",
      "description": "Retrieve index of all bundled datasets available through the exmxc MCP server.",
      "endpoint": "https://mcp.exmxc.ai/datasets",
      "inputSchema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      }
    },
    {
      "id": "ex.ai_power_index.get",
      "title": "Get Legacy AI Power Exposure Scaffold",
      "description": "Historical weighted exposure scaffold. Its 0–10 totals and ranks are not current evidence-backed measurements of company power.",
      "endpoint": "https://mcp.exmxc.ai/datasets/ai_power_index",
      "inputSchema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      }
    },
    {
      "id": "ex.four_forces.get",
      "title": "Get Legacy Four Forces Exposure Dataset",
      "description": "Historical v1 exposure scaffold across compute, interface, alignment, and energy; retained for compatibility, not as AI Power v2 judgments.",
      "endpoint": "https://mcp.exmxc.ai/datasets/four_forces",
      "inputSchema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      }
    },
    {
      "id": "ex.ai_power.profiles.get",
      "title": "Get AI Power v2 Evidence Profiles",
      "description": "Evidence-backed entity–mechanism–market–time profiles. The pilot publishes anchored judgments or explicit unknowns; it has no universal composite or league table.",
      "endpoint": "https://mcp.exmxc.ai/datasets/ai_power_profiles_v2",
      "inputSchema": {
        "type": "object",
        "properties": {
          "query": {
            "type": "string",
            "description": "Optional company name, alias, or ticker."
          },
          "group": {
            "type": "string",
            "enum": [
              "chips_manufacturing_memory",
              "cloud_ecosystems",
              "model_developers",
              "distribution_workflows",
              "energy_enabling_infrastructure"
            ]
          },
          "status": {
            "type": "string",
            "enum": [
              "not_started",
              "complete",
              "partial",
              "insufficient_evidence"
            ]
          }
        },
        "additionalProperties": false
      }
    },
    {
      "id": "ex.power_lens.v2.get",
      "title": "Read an AI Power v2 Evidence Profile",
      "description": "Resolve a pilot company and return its scoped mechanism, Four Forces mapping, four anchored judgments or explicit unknowns, evidence status, confidence, and versioned release metadata. No universal composite or rank is generated.",
      "endpoint": "https://mcp.exmxc.ai/power-lens/v2",
      "inputSchema": {
        "type": "object",
        "properties": {
          "query": {
            "type": "string",
            "description": "Company name, common alias, or supported public-market ticker."
          }
        },
        "required": [
          "query"
        ],
        "additionalProperties": false
      }
    },
    {
      "id": "ex.entity_in_a_box.get",
      "title": "Get Entity-in-a-Box Ontology",
      "description": "System-level ontology dataset defining AI-era entity structure across ontology, dataset, schema, MCP endpoint, and interpretation layers.",
      "endpoint": "https://mcp.exmxc.ai/datasets/entity_in_a_box_v1",
      "inputSchema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      }
    },
    {
      "id": "ex.power_lens.get",
      "title": "Generate a Legacy Power Lens v1 Card",
      "description": "Historical v1 exposure view. Resolves a supported company name or ticker and returns the original weighted exposure scaffold and adjacent datasets. It is not a current evidence-backed measurement of company power.",
      "endpoint": "https://mcp.exmxc.ai/power-lens",
      "inputSchema": {
        "type": "object",
        "properties": {
          "query": {
            "type": "string",
            "description": "Company name, common alias, or supported public-market ticker."
          }
        },
        "required": [
          "query"
        ],
        "additionalProperties": false
      }
    },
    {
      "id": "ex.reality_gap.get",
      "title": "Get AI Reality Gap Scores",
      "description": "Retrieve the full AI Reality Gap benchmark or filter a supported company by name, alias, ticker, or classification. Scores compare public AI narrative with observed capability from dated official evidence.",
      "endpoint": "https://mcp.exmxc.ai/reality-gap",
      "inputSchema": {
        "type": "object",
        "properties": {
          "query": {
            "type": "string",
            "description": "Optional company name, common alias, or ticker."
          },
          "classification": {
            "type": "string",
            "enum": [
              "quiet_compounder",
              "capability_leads_narrative",
              "narrative_capability_aligned",
              "narrative_leads_deployment",
              "narrative_outrunning_deployment"
            ]
          },
          "sort": {
            "type": "string",
            "enum": [
              "gap_ascending",
              "gap_descending",
              "capability_descending",
              "narrative_descending"
            ]
          },
          "limit": {
            "type": "integer",
            "minimum": 1,
            "maximum": 100,
            "description": "Maximum number of records to return."
          }
        },
        "additionalProperties": false
      }
    },
    {
      "id": "ex.strategic_consequence.get",
      "title": "Run a Legacy Experimental Strategic Consequence Scenario",
      "description": "Experimental scenario engine pinned to the legacy v1 exposure scaffold. Its relative outputs are not AI Power v2 profiles, probabilities, or universal measures of advantage.",
      "endpoint": "https://mcp.exmxc.ai/strategic-consequence",
      "inputSchema": {
        "type": "object",
        "properties": {
          "scenario": {
            "type": "string",
            "enum": [
              "inference_cost_collapse",
              "power_binding_constraint",
              "frontier_model_commoditization",
              "agent_interface_shift",
              "export_controls_tighten",
              "capability_gap_consolidation"
            ],
            "description": "Canonical counterfactual scenario identifier."
          },
          "query": {
            "type": "string",
            "description": "Optional company name, common alias, or ticker for a company-specific consequence view."
          },
          "limit": {
            "type": "integer",
            "minimum": 1,
            "maximum": 25,
            "description": "Number of entities to return in each relative advantage and pressure list."
          }
        },
        "required": [
          "scenario"
        ],
        "additionalProperties": false
      }
    },
    {
      "id": "ex.ai_power.analysis.top",
      "title": "Get Legacy AI Power v1 Ranking",
      "description": "Retrieve historical weighted exposure rankings from the v1 scaffold. Alphabetical presentation within ties does not imply different merit.",
      "endpoint": "https://mcp.exmxc.ai/analysis/ai_power/top",
      "inputSchema": {
        "type": "object",
        "properties": {
          "limit": {
            "type": "integer",
            "minimum": 1,
            "maximum": 100,
            "description": "Maximum number of records to return."
          }
        },
        "additionalProperties": false
      }
    },
    {
      "id": "ex.eei.audit.run",
      "title": "Collect Entity Clarity Evidence",
      "description": "Collect page delivery, declared provider-purpose access policy, machine-readable identity evidence, a deterministic five-dimension Entity Clarity v2.1 score when assessable, a separate static-content adequacy flag, and a clearly labeled legacy website diagnostic for one public HTTPS URL.",
      "endpoint": "https://mcp.exmxc.ai/audit/run",
      "inputSchema": {
        "type": "object",
        "properties": {
          "url": {
            "type": "string",
            "description": "Public URL to audit."
          }
        },
        "required": [
          "url"
        ],
        "additionalProperties": false
      }
    },
    {
      "id": "ex.convergence.latest",
      "title": "Get Latest Convergence Read",
      "description": "Retrieve the most recent weekly read of the AI Infrastructure Convergence Framework — overall status, count of categories in breach, per-signal state (Latent/Watch/Breach/Pending), and exit posture. Derived reference layer; not investment advice.",
      "endpoint": "https://mcp.exmxc.ai/convergence/latest",
      "inputSchema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      }
    },
    {
      "id": "ex.convergence.log",
      "title": "Get Convergence Monitor Log",
      "description": "Retrieve the longitudinal weekly log of convergence reads — each entry time-stamping status, breach count, categories breached, per-signal state, and posture. Optional limit returns the most recent N entries (newest first). Derived reference layer; not investment advice.",
      "endpoint": "https://mcp.exmxc.ai/convergence/log",
      "inputSchema": {
        "type": "object",
        "properties": {
          "limit": {
            "type": "integer",
            "minimum": 1,
            "maximum": 100,
            "description": "Maximum number of records to return."
          }
        },
        "additionalProperties": false
      }
    }
  ],
  "resources": [
    "exmxc://datasets/index",
    "exmxc://datasets/ai-commerce/signal/v1",
    "exmxc://methodologies/ai-commerce/v1",
    "exmxc://datasets/ai-commerce/releases/v1",
    "exmxc://datasets/ai_power_rankings",
    "exmxc://datasets/ai_power_rankings_methodology",
    "exmxc://datasets/ai_power_rankings_editions",
    "exmxc://datasets/entities",
    "exmxc://datasets/speg",
    "exmxc://datasets/speg-index/v1",
    "exmxc://datasets/ai_power_index",
    "exmxc://datasets/four_forces",
    "exmxc://datasets/ai_power_methodology_v2",
    "exmxc://datasets/ai_power_profiles_v2",
    "exmxc://datasets/entity_in_a_box",
    "exmxc://datasets/convergence_monitor",
    "exmxc://datasets/reality_gap_index",
    "exmxc://datasets/strategic_consequence_scenarios",
    "exmxc://datasets/entity_registry",
    "exmxc://datasets/entity_clarity_series",
    "exmxc://datasets/entity_clarity_latest_snapshot",
    "exmxc://datasets/entity_clarity_latest_changes",
    "exmxc://datasets/entity_clarity_latest_release",
    "exmxc://schemas/ai-commerce-episode/v1",
    "exmxc://schemas/ai-commerce-release/v1",
    "exmxc://schemas/schema",
    "exmxc://schemas/definitions",
    "exmxc://schemas/index",
    "exmxc://schemas/ai_power_index",
    "exmxc://schemas/ai_power_methodology_v2",
    "exmxc://schemas/ai_power_profile_v2",
    "exmxc://schemas/ai_power_source_manifest_v2",
    "exmxc://schemas/power_lens_v2",
    "exmxc://schemas/power_lens",
    "exmxc://schemas/reality_gap_index",
    "exmxc://schemas/strategic_consequence",
    "exmxc://schemas/entity_registry",
    "exmxc://schemas/eci_observation",
    "exmxc://schemas/eci_release",
    "exmxc://schemas/entity_clarity_evidence_v2",
    "exmxc://schemas/speg-index-profile/v1",
    "exmxc://content/index"
  ],
  "health": "https://mcp.exmxc.ai/health",
  "status": "active",
  "discovery_protocol": "MCP Streamable HTTP",
  "last_updated": "2026-09-25"
}