Server definition

Hash: sha256:028207a7038346e245f27a013dd98d174ca89b632e0550d305e014280ad0c9ae
What it is: What a remote MCP server returned when asked what it offers: 10 tools

The blob, as servednamed by its sha256

{
  "instructions": null,
  "tools": [
    {
      "description": "Build a full company profile by aggregating across multiple public\nsources: homepage, /about, /careers, JSON-LD schema, plus Crunchbase\nfree-tier funding scrape when `include_funding=True`.\n\nWraps `nexgendata/company-data-aggregator`. The richest of the\ncompany-research tools — use this when you want one record covering\nindustry, HQ, founded date, employee band, key people, social\nhandles, and funding history.\n\nArgs:\n    name_or_domain: Company name (e.g. \"Stripe\") or domain.\n    include_funding: Include Crunchbase + news-based funding lookup.",
      "inputSchema": {
        "properties": {
          "include_funding": {
            "default": true,
            "type": "boolean"
          },
          "name_or_domain": {
            "type": "string"
          }
        },
        "required": [
          "name_or_domain"
        ],
        "type": "object"
      },
      "name": "aggregate_company_profile",
      "outputSchema": null
    },
    {
      "description": "Detect hiring-momentum signals for a list of companies. Aggregates\nopen-role counts, growth-related keywords (Series A/B/C, scaling,\nexpansion), and trend indicators from job boards.\n\nWraps `nexgendata/hiring-signal-detector`. Useful for sales prospecting\n(\"which of my target accounts are hiring right now?\") and funding\nsignals (\"companies scaling engineering = recently funded\").\n\nArgs:\n    company_slugs: List of company slugs / names (e.g. [\"stripe\", \"notion\"]).",
      "inputSchema": {
        "properties": {
          "company_slugs": {
            "items": {
              "type": "string"
            },
            "type": "array"
          }
        },
        "required": [
          "company_slugs"
        ],
        "type": "object"
      },
      "name": "detect_hiring_signal",
      "outputSchema": null
    },
    {
      "description": "Detect the technology stack used by a website (frameworks, CMS,\nanalytics, payment, hosting, security, marketing tools).\n\nWraps `nexgendata/wappalyzer-replacement`. Drop-in replacement for\nthe discontinued Wappalyzer API — returns categorized technology\ndetections with version + confidence info.\n\nArgs:\n    domain: Domain or full URL (e.g. \"stripe.com\" or \"https://stripe.com\").",
      "inputSchema": {
        "properties": {
          "domain": {
            "type": "string"
          }
        },
        "required": [
          "domain"
        ],
        "type": "object"
      },
      "name": "detect_tech_stack",
      "outputSchema": null
    },
    {
      "description": "Enrich a single company with domain, description, industry, employee\nband, social profiles, and (where available) email patterns.\n\nWraps `nexgendata/company-enrichment-tool`. Accepts either a free-form\ncompany name (\"Stripe\") or a domain (\"stripe.com\").\n\nArgs:\n    domain_or_name: Company name or domain.",
      "inputSchema": {
        "properties": {
          "domain_or_name": {
            "type": "string"
          }
        },
        "required": [
          "domain_or_name"
        ],
        "type": "object"
      },
      "name": "enrich_company",
      "outputSchema": null
    },
    {
      "description": "Bulk-enrich a list of company domains with emails, contact pages,\nsocial profiles, and (where available) phone numbers.\n\nWraps `nexgendata/lead-list-enricher`. Best used after `find_b2b_leads`\nto add contact-tier data to a freshly built lead list. Up to ~50\ndomains per call recommended for response-time reasons.\n\nArgs:\n    domains: List of company domains (e.g. [\"stripe.com\",\"airbnb.com\"]).",
      "inputSchema": {
        "properties": {
          "domains": {
            "items": {
              "type": "string"
            },
            "type": "array"
          }
        },
        "required": [
          "domains"
        ],
        "type": "object"
      },
      "name": "enrich_lead_list",
      "outputSchema": null
    },
    {
      "description": "Find B2B sales leads matching an industry / geography / size filter.\n\nWraps `nexgendata/b2b-leads-finder`. Returns company-level leads with\nnames, domains, and (where available) job-title contacts that match\na Marketing Manager / sales-decision-maker profile. Use\n`enrich_lead_list` afterwards to add contact info.\n\nArgs:\n    industry: Industry vertical (e.g. \"fintech\", \"SaaS\", \"healthcare\").\n    country: Optional country / region filter (e.g. \"Singapore\", \"USA\").\n    employee_band: Optional LinkedIn-style size band (\"11-50\", \"51-200\",\n                   \"201-500\", \"501-1000\", \"1001-5000\", \"5001+\").\n    limit: Max leads to return (1-500, default 50).",
      "inputSchema": {
        "properties": {
          "country": {
            "anyOf": [
              {
                "type": "string"
              },
              {
                "type": "null"
              }
            ],
            "default": null
          },
          "employee_band": {
            "anyOf": [
              {
                "type": "string"
              },
              {
                "type": "null"
              }
            ],
            "default": null
          },
          "industry": {
            "type": "string"
          },
          "limit": {
            "default": 50,
            "type": "integer"
          }
        },
        "required": [
          "industry"
        ],
        "type": "object"
      },
      "name": "find_b2b_leads",
      "outputSchema": null
    },
    {
      "description": "Find publicly available business email addresses for a company domain.\n\nWraps `nexgendata/company-email-finder`. Returns probable role-based\nemails (info@, sales@, support@, etc.) plus any verified contacts\ndiscovered by crawling the homepage and common contact pages.\n\nArgs:\n    domain: Company domain (e.g. \"stripe.com\" — with or without scheme)",
      "inputSchema": {
        "properties": {
          "domain": {
            "type": "string"
          }
        },
        "required": [
          "domain"
        ],
        "type": "object"
      },
      "name": "find_company_emails",
      "outputSchema": null
    },
    {
      "description": "Find Y Combinator companies, optionally filtered by batch (e.g.\n\"W26\", \"S25\") or status (\"Active\", \"Acquired\", \"Public\").\n\nWraps `nexgendata/yc-companies-directory-scraper`. Returns the YC\ndirectory entries (company name, batch, description, website,\nindustries, location, status).\n\nArgs:\n    batch: Batch code such as \"W26\", \"S25\", \"F24\".\n    stage: Status filter, e.g. \"Active\", \"Acquired\", \"Public\".",
      "inputSchema": {
        "properties": {
          "batch": {
            "anyOf": [
              {
                "type": "string"
              },
              {
                "type": "null"
              }
            ],
            "default": null
          },
          "stage": {
            "anyOf": [
              {
                "type": "string"
              },
              {
                "type": "null"
              }
            ],
            "default": null
          }
        },
        "type": "object"
      },
      "name": "find_yc_companies",
      "outputSchema": null
    },
    {
      "description": "Search LinkedIn for public job postings matching a query.\n\nWraps `nexgendata/linkedin-jobs-scraper`. Returns job title, company,\nlocation, posted date, and description. Posted-within filter is a\nsoft hint applied client-side via the LinkedIn search UI.\n\nArgs:\n    query: Free-text job query (e.g. \"senior python developer\").\n    location: Optional location (e.g. \"Berlin\", \"Remote\").\n    posted_within_days: Soft recency filter (default 14, max 90).",
      "inputSchema": {
        "properties": {
          "location": {
            "anyOf": [
              {
                "type": "string"
              },
              {
                "type": "null"
              }
            ],
            "default": null
          },
          "posted_within_days": {
            "default": 14,
            "type": "integer"
          },
          "query": {
            "type": "string"
          }
        },
        "required": [
          "query"
        ],
        "type": "object"
      },
      "name": "search_linkedin_jobs",
      "outputSchema": null
    },
    {
      "description": "Track recent startup funding announcements filtered by stage and\nsector.\n\nWraps `nexgendata/startup-funding-tracker`. Returns recent rounds\n(Crunchbase News + TechCrunch + sector press) including company,\namount, round type, investors, and date.\n\nArgs:\n    stage: Optional stage filter (\"seed\", \"series a\", \"series b\", ...).\n    sector: Optional sector / industry filter (\"ai\", \"fintech\", ...).\n    days_back: Look-back window in days (default 30, max ~180).",
      "inputSchema": {
        "properties": {
          "days_back": {
            "default": 30,
            "type": "integer"
          },
          "sector": {
            "anyOf": [
              {
                "type": "string"
              },
              {
                "type": "null"
              }
            ],
            "default": null
          },
          "stage": {
            "anyOf": [
              {
                "type": "string"
              },
              {
                "type": "null"
              }
            ],
            "default": null
          }
        },
        "type": "object"
      },
      "name": "track_startup_funding",
      "outputSchema": null
    }
  ]
}

Verify it yourself

curl -s https://api.teppi.xyz/v1/evidence/sha256:028207a7038346e245f27a013dd98d174ca89b632e0550d305e014280ad0c9ae | sha256sum