MCP MeasureMCP Measure

índice observado

MDataAccess

Paid business, people, company, lead, and web intelligence for autonomous AI agents.

¿Debería usar esto?

Calidad y seguridad

A
Calidad de la descripción
87%
Integridad del esquema
77%
Calidad de los nombres
94%
Riesgo de envenenamiento
100%
Coincidencia de permisos
100%
Cumplimiento del protocolo
100%

Hallazgos (3)

  • LOWTool 'enrich_company' description lacks action verben enrich_company
  • LOWTool 'enrich_person' description lacks action verben enrich_person
  • LOWTool 'find_decision_maker' description lacks action verben find_decision_maker

Basado en el análisis automatizado de las definiciones de herramientas y el cumplimiento del protocolo.

Costo de contexto

~654Tokens (definiciones de herramientas)
~807 BTamaño de respuesta típico
Impacto moderado en la atención (0.51% del contexto de 128k)

Este es el número aproximado de tokens que se consumen cada vez que las herramientas del servidor se cargan en el contexto de un modelo. Los recuentos más altos reducen la atención disponible para otras tareas.

Instalar

Instalación con un clic

Agrega esto a tu archivo `claude_desktop_config.json`:

{
  "mcpServers": {
    "mdataaccess": {
      "url": "https://api.mdataaccess.com/mcp/"
    }
  }
}

Puntos de conexión remotos

https://api.mdataaccess.com/mcp/streamable-http

Qué puede hacer

Inventario de herramientas

Herramientas (7)

🟢 Solo lectura🟡 Escritura🔴 Eliminación⚪ Desconocido
🟢read_webpage(url)

Prepare a paid request to read clean text from a known public webpage URL.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "url": {
      "title": "Url",
      "type": "string"
    }
  },
  "required": [
    "url"
  ],
  "title": "read_webpageArguments"
}

Esquema de salida

{
  "type": "object",
  "additionalProperties": {
    "type": "string"
  },
  "title": "read_webpageDictOutput"
}
⚪enrich_company(name, website)

Prepare a paid company enrichment request when a company name or domain is known.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "name": {
      "default": "",
      "title": "Name",
      "type": "string"
    },
    "website": {
      "default": "",
      "title": "Website",
      "type": "string"
    }
  },
  "title": "enrich_companyArguments"
}

Esquema de salida

{
  "type": "object",
  "additionalProperties": {
    "type": "string"
  },
  "title": "enrich_companyDictOutput"
}
⚪enrich_person(email, linkedin_url, name, company)

Prepare a paid person enrichment request when an email, LinkedIn URL, or name is known.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "email": {
      "default": "",
      "title": "Email",
      "type": "string"
    },
    "linkedin_url": {
      "default": "",
      "title": "Linkedin Url",
      "type": "string"
    },
    "name": {
      "default": "",
      "title": "Name",
      "type": "string"
    },
    "company": {
      "default": "",
      "title": "Company",
      "type": "string"
    }
  },
  "title": "enrich_personArguments"
}

Esquema de salida

{
  "type": "object",
  "additionalProperties": {
    "type": "string"
  },
  "title": "enrich_personDictOutput"
}
🟢search_people(sql)

Prepare a paid PDL SQL person-search request. Exactly one profile is returned by the API.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "sql": {
      "title": "Sql",
      "type": "string"
    }
  },
  "required": [
    "sql"
  ],
  "title": "search_peopleArguments"
}

Esquema de salida

{
  "type": "object",
  "additionalProperties": {
    "type": "string"
  },
  "title": "search_peopleDictOutput"
}
🟢search_companies(sql)

Prepare a paid PDL SQL company-search request. Exactly one company is returned by the API.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "sql": {
      "title": "Sql",
      "type": "string"
    }
  },
  "required": [
    "sql"
  ],
  "title": "search_companiesArguments"
}

Esquema de salida

{
  "type": "object",
  "additionalProperties": {
    "type": "string"
  },
  "title": "search_companiesDictOutput"
}
🟢find_decision_maker(company, function)

Prepare a paid request for one senior decision-maker at a known company and function.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "company": {
      "title": "Company",
      "type": "string"
    },
    "function": {
      "title": "Function",
      "type": "string"
    }
  },
  "required": [
    "company",
    "function"
  ],
  "title": "find_decision_makerArguments"
}

Esquema de salida

{
  "type": "object",
  "additionalProperties": {
    "type": "string"
  },
  "title": "find_decision_makerDictOutput"
}
🟢find_lead(company, function)

Prepare a paid request for one compact sales-ready lead at a known company and function.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "company": {
      "title": "Company",
      "type": "string"
    },
    "function": {
      "title": "Function",
      "type": "string"
    }
  },
  "required": [
    "company",
    "function"
  ],
  "title": "find_leadArguments"
}

Esquema de salida

{
  "type": "object",
  "additionalProperties": {
    "type": "string"
  },
  "title": "find_leadDictOutput"
}

Prompts recomendados

search_research
Search for information about [topic] using MDataAccess
Herramientas esperadas: search_people
find_specific
Find [specific item] using MDataAccess
Herramientas esperadas: search_people
retrieve_data
Get details about [item] from MDataAccess
Herramientas esperadas: read_webpage
fetch_info
Fetch [information type] using MDataAccess
Herramientas esperadas: read_webpage
research_workflow
Search for [topic], then get detailed information about the top results using MDataAccess
Herramientas esperadas: search_peopleread_webpage

Comunidad

Califica este servidor

Evidencia

Observaciones recientes

verificadoversión no registrada7 herramientas
verificadoversión no registrada7 herramientas