Skip to main content
Glama
outreach-prospector-mcp

outreach-prospector-mcp

Related Servers

Alternatives to outreach-prospector-mcp

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables autonomous B2B lead generation by discovering companies, scraping websites for contacts, decoding obfuscated emails, generating email permutations, and verifying email deliverability via MX and SMTP checks.
      2
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables B2B prospecting from natural language: detect buying signals, score leads against ICP, enrich decision-makers, and draft personalized outreach messages via Claude.
      2
      MIT
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants to automate recruiter workflows by batch-searching candidates, capturing and OCR-ing resume screenshots, scoring and filtering applicants, extracting share links, greeting candidates, and exporting Markdown reports.
      -
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants to automate recruiter-side hiring workflows by batch-searching candidates, capturing resume screenshots, extracting share links, filtering and scoring profiles, sending greetings, and exporting Markdown reports.
      -

    TDQS

    B3.1/5.0

    Scored across 5 tools

    Disambiguation3/5

    Two overlaps are evident: scrape_clean_markdown explicitly handles ATS/career boards that scan_live_ats_career_ops also targets, and waterfall_find_decision_maker overlaps with prepare_linkedin_outreach_for_approval, which also finds LinkedIn decision-makers. Descriptions clarify intent, but an agent can still misselect when the task is discovery or scraping.

    Naming Consistency3/5

    All names use snake_case, but the verb pattern is inconsistent: scrape_clean_markdown and waterfall_find_decision_maker are multi-part or noun-led rather than simple verb_noun. The names remain readable and domain-specific overall.

    Tool Count5/5

    Five tools is well within the ideal 3-15 range and each maps to a recognizable pipeline stage: scrape, enrich, scan, validate, and prepare. No tool feels redundant enough to remove, and the set is not thin for the apparent scope.

    Completeness3/5

    The set covers research, decision-maker discovery, ATS scanning, validation, and LinkedIn outreach preparation, but it lacks email outreach drafting despite validating email payloads, and has no lead/contact storage or status tracking. These are notable gaps for an end-to-end prospecting workflow.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues