MCP MeasureMCP Measure

index observed

company-technographics

Search 760K+ companies by technographics with direction of change: adopting, replacing, evaluating

Should I use this

Quality & Safety

A
Description quality
100%
Schema completeness
85%
Naming quality
93%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Findings (1)

  • LOWTool 'search_companies_by_technologies' name length outside 3-30 rangein search_companies_by_technologies

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~456Tokens (tool definitions)
~738 BTypical response size
Minimal attention impact (0.36% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "company-technographics": {
      "url": "https://api.echoloc.ai/mcp"
    }
  }
}

Remote endpoints

https://api.echoloc.ai/mcpstreamable-http

What it can do

Tool inventory

Tools (3)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢search_companies_by_technologies(technologies, match, page, page_size)

Find companies using the given technologies, ranked by usage. Names are case-insensitive ('snowflake' == 'Snowflake'); 10,000+ technologies are tracked (use list_technologies to explore). match='any' needs at least one technology, 'all' needs every one.

Input Schema

{
  "type": "object",
  "properties": {
    "technologies": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "minItems": 1,
      "description": "Technology names, e.g. [\"Snowflake\", \"dbt\"]"
    },
    "match": {
      "type": "string",
      "enum": [
        "any",
        "all"
      ],
      "default": "any"
    },
    "page": {
      "type": "integer",
      "minimum": 1,
      "default": 1
    },
    "page_size": {
      "type": "integer",
      "minimum": 1,
      "maximum": 100,
      "default": 20
    }
  },
  "required": [
    "technologies"
  ]
}
🟢get_company_by_domain(domain)

Resolve a company domain (e.g. 'walgreens.com') to its full profile: firmographics, hiring stats, and the technology stack with adoption context (using / adopting / replacing / evaluating). Matches the primary domain first, then known aliases (regional TLDs, legacy brands, subdomains).

Input Schema

{
  "type": "object",
  "properties": {
    "domain": {
      "type": "string",
      "description": "Company domain — primary or any known alias"
    }
  },
  "required": [
    "domain"
  ]
}
🟢list_technologies(page, page_size, sort)

Catalog of all technologies in the dataset with per-technology company counts. sort='count' (most used first) or 'name'.

Input Schema

{
  "type": "object",
  "properties": {
    "page": {
      "type": "integer",
      "minimum": 1,
      "default": 1
    },
    "page_size": {
      "type": "integer",
      "minimum": 1,
      "maximum": 500,
      "default": 50
    },
    "sort": {
      "type": "string",
      "enum": [
        "count",
        "name"
      ],
      "default": "count"
    }
  }
}

Recommended Prompts

search_research
Search for information about [topic] using company-technographics
Expected tools: search_companies_by_technologies
find_specific
Find [specific item] using company-technographics
Expected tools: search_companies_by_technologies
retrieve_data
Get details about [item] from company-technographics
Expected tools: get_company_by_domain
fetch_info
Fetch [information type] using company-technographics
Expected tools: get_company_by_domain
list_items
List all [items] available in company-technographics
Expected tools: list_technologies

Community

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Evidence

Recent observations

verifiedversion not recorded3 tools
verifiedversion not recorded3 tools
verifiedversion not recorded3 tools
verifiedversion not recorded3 tools
verifiedversion not recorded3 tools
verifiedversion not recorded3 tools