MCP MeasureMCP Measure

Index beobachtet

MDataAccess

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

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
87%
Vollständigkeit des Schemas
77%
Qualität der Benennung
94%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Befunde (3)

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

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~654Tokens (Tool-Definitionen)
~807 BTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (0.51% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

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

Remote-Endpunkte

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

Was es kann

Tool-Inventar

Tools (7)

🟢 Nur lesen🟡 Schreiben🔴 Löschen⚪ Unbekannt
🟢read_webpage(url)

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

Eingabe-Schema

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

Ausgabe-Schema

{
  "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.

Eingabe-Schema

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

Ausgabe-Schema

{
  "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.

Eingabe-Schema

{
  "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"
}

Ausgabe-Schema

{
  "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.

Eingabe-Schema

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

Ausgabe-Schema

{
  "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.

Eingabe-Schema

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

Ausgabe-Schema

{
  "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.

Eingabe-Schema

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

Ausgabe-Schema

{
  "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.

Eingabe-Schema

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

Ausgabe-Schema

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

Empfohlene Prompts

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

Community

Diesen Server bewerten

Nachweis

Aktuelle Beobachtungen

verifiziertVersion nicht aufgezeichnet7 Tools
verifiziertVersion nicht aufgezeichnet7 Tools