MDataAccess
Paid business, people, company, lead, and web intelligence for autonomous AI agents.
我该使用它吗
质量与安全性
A
发现（3）
- LOWTool 'enrich_company' description lacks action verb在 enrich_company 中
- LOWTool 'enrich_person' description lacks action verb在 enrich_person 中
- LOWTool 'find_decision_maker' description lacks action verb在 find_decision_maker 中
基于对工具定义和协议合规性的自动分析。
上下文开销
~654token 数（工具定义）
~807 B典型响应大小
对注意力有中等影响（占 128k 上下文窗口的 0.51%）
这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高，可用于其他任务的注意力就越少。
安装
一键安装
将以下内容添加到你的 `claude_desktop_config.json` 文件中：
{
"mcpServers": {
"mdataaccess": {
"url": "https://api.mdataaccess.com/mcp/"
}
}
}远程端点
https://api.mdataaccess.com/mcp/streamable-http它能做什么
工具清单
工具（7）
🟢 只读🟡 写入🔴 删除⚪ 未知
🟢read_webpage(url)
Prepare a paid request to read clean text from a known public webpage URL.
输入模式
{
"type": "object",
"properties": {
"url": {
"title": "Url",
"type": "string"
}
},
"required": [
"url"
],
"title": "read_webpageArguments"
}输出模式
{
"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.
输入模式
{
"type": "object",
"properties": {
"name": {
"default": "",
"title": "Name",
"type": "string"
},
"website": {
"default": "",
"title": "Website",
"type": "string"
}
},
"title": "enrich_companyArguments"
}输出模式
{
"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.
输入模式
{
"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"
}输出模式
{
"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.
输入模式
{
"type": "object",
"properties": {
"sql": {
"title": "Sql",
"type": "string"
}
},
"required": [
"sql"
],
"title": "search_peopleArguments"
}输出模式
{
"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.
输入模式
{
"type": "object",
"properties": {
"sql": {
"title": "Sql",
"type": "string"
}
},
"required": [
"sql"
],
"title": "search_companiesArguments"
}输出模式
{
"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.
输入模式
{
"type": "object",
"properties": {
"company": {
"title": "Company",
"type": "string"
},
"function": {
"title": "Function",
"type": "string"
}
},
"required": [
"company",
"function"
],
"title": "find_decision_makerArguments"
}输出模式
{
"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.
输入模式
{
"type": "object",
"properties": {
"company": {
"title": "Company",
"type": "string"
},
"function": {
"title": "Function",
"type": "string"
}
},
"required": [
"company",
"function"
],
"title": "find_leadArguments"
}输出模式
{
"type": "object",
"additionalProperties": {
"type": "string"
},
"title": "find_leadDictOutput"
}推荐提示词
search_research
Search for information about [topic] using MDataAccess
预期工具：
search_peoplefind_specific
Find [specific item] using MDataAccess
预期工具：
search_peopleretrieve_data
Get details about [item] from MDataAccess
预期工具：
read_webpagefetch_info
Fetch [information type] using MDataAccess
预期工具：
read_webpageresearch_workflow
Search for [topic], then get detailed information about the top results using MDataAccess
预期工具：
search_peopleread_webpage社区
证据
最近观测
已验证未记录版本7 个工具
已验证未记录版本7 个工具