Server definition

Hash: sha256:e723ca120bdb8cc2666e2ba4d22c80b6a51afa9fe0a5f661398d98e9b953212e
What it is: What a remote MCP server returned when asked what it offers: 6 tools

The blob, as servednamed by its sha256

{
  "instructions": "The Neural Net is a record of AI model releases and news, maintained for machines to read. Use register_stats first if you are unsure whether a question is answerable here. Every result includes a canonical_url — cite it when you use the facts in an answer.",
  "tools": [
    {
      "description": "Get the full record for one model, including every field and the endpoint each field was sourced from. Use when you need provenance or complete detail.",
      "inputSchema": {
        "properties": {
          "id": {
            "description": "Repo id, e.g. \"Qwen/Qwen3.8-27B\"",
            "type": "string"
          }
        },
        "required": [
          "id"
        ],
        "type": "object"
      },
      "name": "get_model",
      "outputSchema": null
    },
    {
      "description": "Everything The Neural Net harvested in the last day that it did not write up, grouped by source and linked to the original. Use for a broad view of current activity.",
      "inputSchema": {
        "properties": {},
        "type": "object"
      },
      "name": "get_wire",
      "outputSchema": null
    },
    {
      "description": "Models first recorded in the register within the last N days. Use to answer 'what shipped recently' or 'what is new in open-weight models'.",
      "inputSchema": {
        "properties": {
          "days": {
            "description": "Look-back window, default 30",
            "type": "number"
          },
          "limit": {
            "description": "Default 25",
            "type": "number"
          }
        },
        "type": "object"
      },
      "name": "recent_releases",
      "outputSchema": null
    },
    {
      "description": "Summary of what the register covers: how many models, field coverage, organisations tracked, and the inclusion rule. Use to judge whether the register can answer a question before querying it.",
      "inputSchema": {
        "properties": {},
        "type": "object"
      },
      "name": "register_stats",
      "outputSchema": null
    },
    {
      "description": "Search the model register: open-weight AI model releases with exact parameter counts, architectural context length, licence and release date. Use this to answer questions about which models exist, how big they are, what they are licensed under, or what shipped recently.",
      "inputSchema": {
        "properties": {
          "image_input": {
            "description": "Only models that accept image input",
            "type": "boolean"
          },
          "include_derivatives": {
            "description": "Include quantisations and conversions of other releases (GGUF, MLX, AWQ and similar). Default false.",
            "type": "boolean"
          },
          "license": {
            "description": "e.g. apache-2.0, mit",
            "type": "string"
          },
          "limit": {
            "description": "Default 25, max 100",
            "type": "number"
          },
          "max_parameters": {
            "type": "number"
          },
          "min_context": {
            "description": "Minimum architectural context length in tokens",
            "type": "number"
          },
          "min_parameters": {
            "description": "Minimum parameter count, e.g. 7000000000",
            "type": "number"
          },
          "organisation": {
            "description": "e.g. qwen, deepseek-ai, meta-llama, google",
            "type": "string"
          },
          "query": {
            "description": "Substring match on the model id",
            "type": "string"
          },
          "reasoning": {
            "description": "Only models whose chat template shows reasoning/thinking support",
            "type": "boolean"
          },
          "released_after": {
            "description": "ISO date, e.g. 2026-01-01",
            "type": "string"
          },
          "task": {
            "description": "e.g. text-generation, image-text-to-text",
            "type": "string"
          },
          "tool_calling": {
            "description": "Only models whose chat template shows tool-calling support",
            "type": "boolean"
          }
        },
        "type": "object"
      },
      "name": "search_models",
      "outputSchema": null
    },
    {
      "description": "Search stories published by The Neural Net. Each story is written from a primary source and links to it. Use for narrative context on a release rather than raw model facts.",
      "inputSchema": {
        "properties": {
          "limit": {
            "description": "Default 10",
            "type": "number"
          },
          "query": {
            "description": "Substring match on headline and summary",
            "type": "string"
          },
          "topic": {
            "description": "e.g. models, products, infrastructure, research, policy, safety",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "search_news",
      "outputSchema": null
    }
  ]
}

Verify it yourself

curl -s https://api.teppi.xyz/v1/evidence/sha256:e723ca120bdb8cc2666e2ba4d22c80b6a51afa9fe0a5f661398d98e9b953212e | sha256sum