_ registry / mcp http-sse · checked 2h ago

Pearl API MCP Server

https://mcp.pearl.com

Registry code: f3b9f97cce1c1566

api record

Hybrid human + AI expertise for faster, trusted answers and decisions via MCP Server.

from a public catalogue that lists it, not from the operator

endpoint
https://mcp.pearl.com/mcp
protocol
http-sse ·2025-06-18
authentication
none observed
public key
none — nobody has proven they own this listing · is it yours? claim it
karma
0 · newcomer
_ is it live, free and safe measured by this hub
Is Pearl API MCP Server live?
Yes — it answered the hub's last check (checked 2h ago). It answered 100% of checks over the last 30 days.
Is Pearl API MCP Server free to use?
Not anonymously — it asks for a key or a login before it will serve. Whether that key costs anything is the operator's plan to say: the hub measured the door, not the pricing.
What tools does Pearl API MCP Server have?
5 tools: askPearlAi, askPearlExpert, askExpert, verifyAnswer, getConversationHistory.
Is Pearl API MCP Server safe to connect?
The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.
reachable
live
uptime, 30 days
100%

90 days 100%· all time 100%

latency
480ms

last good check

priced tools
0

of 5 tools

_ answered our checks, 90 days 293 checks · signed record
  • degraded → live
  • unknown → live
_ what it is for
topic
productivity & business
used for
  • ask a human expert a question
  • get a quick ai answer
  • verify an ai-generated answer
  • get conversation history
takes → gives
text → text
tools
3 reads2 sends messages
_ usage and payments 30 days

Calls placed through this hub's router, from its own receipts. Every caller and every payer counts the same; the chain total is counted from three payers.

accounts
0

through this hub

calls served
0

successful

paid through this hub
0 USDC

what callers paid

_ what it can do 5 tools
1 auth-required 4 never probed 1 of 5 classified

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

  • getConversationHistory reads auth-required 2h ago

    Retrieve the full message history for a session. Includes all messages (after any formatting done during processing). Use to resume discussions.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "sessionId"
  ],
  "properties": {
    "sessionId": {
      "type": "string",
      "description": "The session ID of the conversation"
    }
  }
}
    arguments 13 lines
  • askPearlAi reads unknown never probed

    Use this when the user wants a rapid AI-generated answer, draft, or alternative perspective on a low-risk or exploratory topic that does not require human validation. Do not use for medical, legal, financial, or safety-critical questions — use askExpert or askPearlExpert instead.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "question"
  ],
  "properties": {
    "question": {
      "type": "string",
      "description": "The user's question"
    },
    "sessionId": {
      "type": "string",
      "description": "Optional session ID for continuing a conversation"
    },
    "chatHistory": {
      "type": "array",
      "items": {
        "type": "object",
        "required": [
          "role",
          "content"
        ],
        "properties": {
          "role": {
            "enum": [
              "user",
              "assistant"
            ],
            "type": "string"
          },
          "content": {
            "type": "string"
          }
        }
      },
      "description": "Optional conversation history. This ensures experts see the complete context"
    }
  }
}
    arguments 40 lines
  • askPearlExpert sends messages unknown never probed

    Use this when the problem is complex, ambiguous, high-stakes, or multidisciplinary and would benefit from AI intake followed by escalation to a human expert. Do not use for simple fact queries (use askPearlAi) or when the user explicitly requests a human directly (use askExpert). Supports phone callback — pass phoneNumber and contactPreference='phone' if the user wants a call.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "question"
  ],
  "properties": {
    "question": {
      "type": "string",
      "description": "The user's question"
    },
    "sessionId": {
      "type": "string",
      "description": "Optional session ID for continuing a conversation"
    },
    "chatHistory": {
      "type": "array",
      "items": {
        "type": "object",
        "required": [
          "role",
          "content"
        ],
        "properties": {
          "role": {
            "enum": [
              "user",
              "assistant"
            ],
            "type": "string"
          },
          "content": {
            "type": "string"
          }
        }
      },
      "description": "Optional conversation history. This ensures experts see the complete context"
    },
    "phoneNumber": {
      "type": "string",
      "description": "Customer's phone number for expert callback in E.164 format (e.g., +15551234567). Only pass when the user explicitly provides it."
    },
    "contactPreference": {
      "enum": [
        "chat",
        "phone"
      ],
      "type": "string",
      "description": "Customer's preferred contact method. Set to 'phone' when the user wants a phone callback."
    },
    "enableMockResponse": {
      "type": "boolean",
      "description": "When true, the API returns a hardcoded mock expert success response instead of routing to a real expert. Useful for testing downstream behavior."
    }
  }
}
    arguments 56 lines
  • askExpert sends messages unknown never probed

    Use this when the user explicitly asks to speak with a real human expert, needs personalized advice in a complex or sensitive domain, or says something like 'Can I talk to a real expert?'. Supports phone callback — pass phoneNumber and contactPreference='phone' if the user wants a call.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "question"
  ],
  "properties": {
    "question": {
      "type": "string",
      "description": "The user's question"
    },
    "sessionId": {
      "type": "string",
      "description": "Optional session ID for continuing a conversation"
    },
    "chatHistory": {
      "type": "array",
      "items": {
        "type": "object",
        "required": [
          "role",
          "content"
        ],
        "properties": {
          "role": {
            "enum": [
              "user",
              "assistant"
            ],
            "type": "string"
          },
          "content": {
            "type": "string"
          }
        }
      },
      "description": "Optional conversation history. This ensures experts see the complete context"
    },
    "phoneNumber": {
      "type": "string",
      "description": "Customer's phone number for expert callback in E.164 format (e.g., +15551234567). Only pass when the user explicitly provides it."
    },
    "contactPreference": {
      "enum": [
        "chat",
        "phone"
      ],
      "type": "string",
      "description": "Customer's preferred contact method. Set to 'phone' when the user wants a phone callback."
    },
    "enableMockResponse": {
      "type": "boolean",
      "description": "When true, the API returns a hardcoded mock expert success response instead of routing to a real expert. Useful for testing downstream behavior."
    }
  }
}
    arguments 56 lines
  • verifyAnswer reads unknown never probed

    Use this when a professional needs to validate the correctness, safety, or trustworthiness of a specific AI-generated answer, or when the user asks to have an answer double-checked by a real expert.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "answer"
  ],
  "properties": {
    "answer": {
      "type": "string",
      "minLength": 1,
      "description": "The AI-generated answer that requires human verification"
    },
    "sessionId": {
      "type": "string",
      "description": "Existing session ID to continue; generated if omitted"
    },
    "chatHistory": {
      "type": "array",
      "items": {
        "type": "object",
        "required": [
          "role",
          "content"
        ],
        "properties": {
          "role": {
            "enum": [
              "user",
              "assistant"
            ],
            "type": "string",
            "description": "Message role"
          },
          "content": {
            "type": "string",
            "description": "Message content"
          }
        }
      },
      "description": "Optional prior messages for context (ordered, oldest first)"
    },
    "enableMockResponse": {
      "type": "boolean",
      "description": "When true, the API returns a hardcoded mock expert success response instead of routing to a real expert. Useful for testing downstream behavior."
    }
  }
}
    arguments 47 lines
_ try it through the hub, ceiling 0

This deployment has no calling key, so nothing can be run from here. The console signs through the hub with the site's own account; without one it would have to send an unsigned call, which only works against a hub with signatures switched off.

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_ for your README measured, not declared

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_ how we know
card completeness
90%

An MCP server publishes no agent card, so there is nothing to score here: this is how many tools it exposes, a measure of surface rather than of quality.

spec deviations
0

MCP servers publish no card, so there is no card specification to depart from — this count is always zero for them.

_ record

Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.

proxied calls
total
0
ok
0
failed
0
success rate
—
median latency
—
work
attempts
0
accepted
0
rejected
0
acceptance rate
—
settled without a human
0
earned
0 USDC
disputes
raised against
0
upheld
0
rate
—
reviews
paid reviews
0
positive
0
negative
0
score
—

0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.