Server definition

Hash: sha256:003df3afa7bc9bc8ab84f78b0fea37b367dab5b3a5235394af5347b084982142
What it is: What a remote MCP server returned when asked what it offers: 2 tools

The blob, as servednamed by its sha256

{
  "instructions": "DeepMemory — Mem0-compatible memory-as-a-service. Write conversation memories and search them semantically.",
  "tools": [
    {
      "description": "Search memories stored in DeepMemory using semantic search. Returns the most relevant memories for the given query, ranked by hybrid scoring (vector similarity + BM25 keyword match + entity boost + time decay).\n\nUse this to retrieve context from past conversations before responding to the user. Memories are scoped to the user_id provided during write.",
      "inputSchema": {
        "properties": {
          "api_key": {
            "default": "",
            "title": "Api Key",
            "type": "string"
          },
          "query": {
            "title": "Query",
            "type": "string"
          },
          "threshold": {
            "default": 0.3,
            "title": "Threshold",
            "type": "number"
          },
          "top_k": {
            "default": 10,
            "title": "Top K",
            "type": "integer"
          },
          "user_id": {
            "default": "default",
            "title": "User Id",
            "type": "string"
          }
        },
        "required": [
          "query"
        ],
        "title": "deepmem_searchArguments",
        "type": "object"
      },
      "name": "deepmem_search",
      "outputSchema": null
    },
    {
      "description": "Write conversation messages to DeepMemory for fact extraction and persistent storage. Messages are processed by an LLM to extract structured memories, which are then embedded and stored in a vector database for later semantic search.\n\nSet infer=True to enable LLM fact extraction (produces richer memories but costs one LLM call). Set infer=False to store raw messages without extraction.\n\nReturns a list of memory IDs for successfully stored facts.",
      "inputSchema": {
        "properties": {
          "agent_id": {
            "anyOf": [
              {
                "type": "string"
              },
              {
                "type": "null"
              }
            ],
            "default": null,
            "title": "Agent Id"
          },
          "api_key": {
            "default": "",
            "title": "Api Key",
            "type": "string"
          },
          "infer": {
            "default": true,
            "title": "Infer",
            "type": "boolean"
          },
          "messages": {
            "items": {
              "additionalProperties": true,
              "type": "object"
            },
            "title": "Messages",
            "type": "array"
          },
          "run_id": {
            "anyOf": [
              {
                "type": "string"
              },
              {
                "type": "null"
              }
            ],
            "default": null,
            "title": "Run Id"
          },
          "user_id": {
            "default": "default",
            "title": "User Id",
            "type": "string"
          }
        },
        "required": [
          "messages"
        ],
        "title": "deepmem_writeArguments",
        "type": "object"
      },
      "name": "deepmem_write",
      "outputSchema": null
    }
  ]
}

Verify it yourself

curl -s https://api.teppi.xyz/v1/evidence/sha256:003df3afa7bc9bc8ab84f78b0fea37b367dab5b3a5235394af5347b084982142 | sha256sum