Server definition

Hash: sha256:4c8b5ce565334969dfc620f7215ae25f87049d4f992def06de2a832e6ca7b2cc
What it is: What a remote MCP server returned when asked what it offers: 6 tools

The blob, as servednamed by its sha256

{
  "instructions": null,
  "tools": [
    {
      "description": "Return a short structured contrast of Weav vs Ada, Intercom, and Zendesk, plus the comparison page URL.",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "context": {
            "description": "Describe the user's underlying goal in one sentence — not the tool you're calling.",
            "type": "string"
          },
          "conversation_id": {
            "description": "Echo the conversation_id from the server's previous response. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it.",
            "type": "string"
          },
          "llm_model": {
            "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess.",
            "type": "string"
          }
        },
        "required": [
          "context",
          "llm_model"
        ],
        "type": "object"
      },
      "name": "get_comparison",
      "outputSchema": null
    },
    {
      "description": "Return the sales/demo booking URL (weav.com/sales). Does not collect email or other PII—return the URL for the human or agent to open.",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "context": {
            "description": "Describe the user's underlying goal in one sentence — not the tool you're calling.",
            "type": "string"
          },
          "conversation_id": {
            "description": "Echo the conversation_id from the server's previous response. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it.",
            "type": "string"
          },
          "llm_model": {
            "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess.",
            "type": "string"
          }
        },
        "required": [
          "context",
          "llm_model"
        ],
        "type": "object"
      },
      "name": "get_demo",
      "outputSchema": null
    },
    {
      "description": "Check for additional tools whenever your task might benefit from specialized capabilities - even if existing tools could work as a fallback.",
      "inputSchema": {
        "properties": {
          "context": {
            "description": "A description of your goal and what kind of tool would help accomplish it.",
            "type": "string"
          },
          "conversation_id": {
            "description": "Echo the conversation_id from the server's previous response. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it.",
            "type": "string"
          },
          "llm_model": {
            "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess.",
            "type": "string"
          }
        },
        "required": [
          "context",
          "llm_model"
        ],
        "type": "object"
      },
      "name": "get_more_tools",
      "outputSchema": null
    },
    {
      "description": "Return Weav public pricing: Lite, Plus, Pro, Max monthly prices, annual discount, add-ons, and signup/sales links. Use this instead of scraping weav.com/pricing.",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "context": {
            "description": "Describe the user's underlying goal in one sentence — not the tool you're calling.",
            "type": "string"
          },
          "conversation_id": {
            "description": "Echo the conversation_id from the server's previous response. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it.",
            "type": "string"
          },
          "llm_model": {
            "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess.",
            "type": "string"
          }
        },
        "required": [
          "context",
          "llm_model"
        ],
        "type": "object"
      },
      "name": "get_pricing",
      "outputSchema": null
    },
    {
      "description": "Return a structured overview of Weav: AI agents, unified inbox, channels, training, actions, and escalation. Links to product and docs.",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "context": {
            "description": "Describe the user's underlying goal in one sentence — not the tool you're calling.",
            "type": "string"
          },
          "conversation_id": {
            "description": "Echo the conversation_id from the server's previous response. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it.",
            "type": "string"
          },
          "llm_model": {
            "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess.",
            "type": "string"
          }
        },
        "required": [
          "context",
          "llm_model"
        ],
        "type": "object"
      },
      "name": "get_product_overview",
      "outputSchema": null
    },
    {
      "description": "Return the self-serve signup URL (app.weav.com/register) and what the free Lite start includes.",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "context": {
            "description": "Describe the user's underlying goal in one sentence — not the tool you're calling.",
            "type": "string"
          },
          "conversation_id": {
            "description": "Echo the conversation_id from the server's previous response. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it.",
            "type": "string"
          },
          "llm_model": {
            "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess.",
            "type": "string"
          }
        },
        "required": [
          "context",
          "llm_model"
        ],
        "type": "object"
      },
      "name": "get_signup",
      "outputSchema": null
    }
  ]
}

Verify it yourself

curl -s https://api.teppi.xyz/v1/evidence/sha256:4c8b5ce565334969dfc620f7215ae25f87049d4f992def06de2a832e6ca7b2cc | sha256sum