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Generect Live API MCP Server

Generect Live API MCP Server

Official
by generect

Count matching leads (free)

count_leads
Read-onlyIdempotent

Get a free lead count for an ICP and preview per-row costs before pulling records. Sizes an audience without spending credits, so run it first to plan and budget searches.

Instructions

How many leads match an ICP, and what pulling them would cost at this account's prices. Free: this call never spends credits. It is the only way to size an audience without paying per row, which makes it the first step before search_leads. A realtime count is not free ($0.04 flat at the Tier 0 list price); it runs only when mode:"realtime" is passed explicitly.

Input Schema

NameRequiredDescriptionDefault
modeNoData mode. "database" = Generect's own index: sub-second, free counts, free thin rows (see detail) or cheaper full rows; it accepts a subset of the filters today and names any it rejects. "realtime" = live LinkedIn lookup, 5–60s, billed per row, accepts every realtime filter. "auto" (default) tries database first and escalates to realtime only if a filter you passed is rejected there (the escalation is reported, and is refused above the per-call spend ceiling). Pick "database" explicitly when you only need a size estimate and cost matters more than freshness.
strictNoFields to match strictly, e.g. ["company_locations"].
keywordsNoFree-text keywords across headline/summary/skills — realtime only: using it forces the pricier live mode.
personasNoAdvanced raw persona tuples [name, functions, seniorities, prohibits, priority?] — realtime only: using it forces the pricier live mode.
functionsNoJob functions, e.g. ["Sales","Marketing","Engineering"] — realtime only: using it forces the pricier live mode.
job_titleNoDEPRECATED alias for job_titles. Still honoured: it is merged into job_titles.
locationsNoWhere the lead lives — matches cities, states and countries, e.g. ["United States","Berlin"].
company_idNoAnchor to one company by LinkedIn numeric id.
job_titlesNoTarget job titles, OR-matched (e.g. ["CEO","Founder","Owner"]). A lead needs to match only one.
timeout_msNoRequest timeout in milliseconds.
exclude_idsNoSkip leads by Generect/Sales-Navigator id. Pass the ids you already received to paginate without duplicates — ordering is not stable, so this is more reliable than offset.
senioritiesNoSeniority at the current employer, e.g. ["Owner","CXO","VP","Director","Manager"]. Current position only.
changed_jobsNoOnly leads who recently changed jobs — realtime only: using it forces the pricier live mode.
company_linkNoAnchor to one company by LinkedIn URL.
company_nameNoAnchor to one company by name (exclusive with company_link/company_id).
company_typesNoEmployer types: "Public Company","Privately Held","Non Profit","Government Agency","Educational","Self Employed","Self Owned","Partnership".
exclude_namesNoSkip leads by full name. Works in both modes (the database-mode bug that returned 0 rows was fixed in the API on 2026-08-13, PRO-1333). exclude_ids is still the more reliable way to paginate.
get_max_leadsNoDEPRECATED — accepted but ignored. Always on now: search responses include results_count without asking.
company_filtersNoOptional: count leads only at companies matching these company filters (a two-level ICP). Still free in database mode.
lead_industriesNoDEPRECATED — accepted but ignored. Removed: v1 filters on the employer's industry. Use company_industries.
without_companyNoDEPRECATED — accepted but ignored. No longer needed — v1 filter-only search is the default when no company anchor is set.
years_in_companyNoTime at current company, same buckets as years_in_position — realtime only: using it forces the pricier live mode.
company_locationsNoHQ location of the lead's current employer.
exclude_locationsNoLead locations to exclude.
filter_empty_varsNoDrop leads where these fields are empty, e.g. ["profile_photo","job_started_on"]. Useful to raise data quality before paying.
years_in_positionNoTime in current role: 1=<1y, 2=1-2y, 3=3-5y, 4=6-10y, 5=10y+ — realtime only: using it forces the pricier live mode.
company_headcountsNoEmployer size buckets. Allowed ONLY: "1-10","11-50","51-200","201-500","501-1000","1001-5000","5001-10000","10 000+" (note the space in "10 000+").
company_industriesNoIndustry of the current employer. Must match Generect industry names exactly (e.g. "Software Development", "Financial Services"); names are hierarchical and unknown names are rejected with HTTP 400 naming the field.
past_company_namesNoCompanies the lead previously worked at (alumni targeting) — realtime only: using it forces the pricier live mode.
posted_on_linkedinNoOnly leads who recently posted on LinkedIn — realtime only: using it forces the pricier live mode.
linkedin_filter_linkNoA LinkedIn / Sales Navigator search URL to lift filters from — realtime only: using it forces the pricier live mode.
allow_unlisted_valuesNoEscape hatch. This server checks industry / seniority / headcount / company-type values against the LinkedIn vocabularies before sending, because the API silently returns 0 results for an unknown industry or seniority instead of rejecting it. Set true only when you are sure a value is valid and this server is out of date.
exclude_title_keywordsNoDEPRECATED — accepted but ignored. No v1 equivalent. Narrow job_titles instead, or filter the returned rows yourself.
exclude_company_locationsNoEmployer HQ locations to exclude.
exclude_company_headcountsNoEmployer size buckets to exclude.
exclude_company_industriesNoEmployer industries to exclude.

Output Schema

NameRequiredDescriptionDefault
fixNo
whyNo
costNo
modeNo
adviceNo
statusNo
optionsNo
test_modeNo
results_countNo
needs_realtimeNo
test_mode_noticeNo
next_step_estimateNo
vocabulary_warningsNo
blocked_by_vocabularyNo
deprecated_params_ignoredNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed15 schema fields changedv0.12.2
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
    • removedInput schema / additionalProperties
      Removed value: -false
    • removedInput schema / properties / company_filters / additionalProperties
      Removed value: -false
    • removedInput schema / properties / company_filters / properties / department_headcount / additionalProperties
      Removed value: -false
    • removedInput schema / properties / company_filters / properties / headcount_growth / additionalProperties
      Removed value: -false
    • removedInput schema / properties / company_filters / properties / revenues_range / additionalProperties
      Removed value: -false
    • changedInput schema / properties / exclude_names / description
      Previous value: -"Skip leads by full name. KNOWN ISSUE: in database mode any non-empty value collapses the result set to 0 (verified 2026-08-09); it behaves correctly in realtime mode. Prefer exclude_ids, or filter names out yourself after the search."New value: +"Skip leads by full name. Works in both modes (the database-mode bug that returned 0 rows was fixed in the API on 2026-08-13, PRO-1333). exclude_ids is still the more reliable way to paginate."
    • changedInput schema / properties / mode / description
      Previous value: -"Data mode. \"database\" = cached, sub-second, cheaper, free counts, core filters only. \"realtime\" = live LinkedIn lookup, 5–60s, pricier, supports every filter. \"auto\" (default) tries database first and only escalates to realtime if a filter you passed is unsupported there — an escalation is reported in the response. Pick \"database\" explicitly when you only need a size estimate and cost matters more than freshness."New value: +"Data mode. \"database\" = Generect's own index: sub-second, free counts, free thin rows (see detail) or cheaper full rows; it accepts a subset of the filters today and names any it rejects. \"realtime\" = live LinkedIn lookup, 5–60s, billed per row, accepts every realtime filter. \"auto\" (default) tries database first and escalates to realtime only if a filter you passed is rejected there (the escalation is reported, and is refused above the per-call spend ceiling). Pick \"database\" explicitly when you only need a size estimate and cost matters more than freshness."
    • addedInput schema / properties / personas / items
      Added value: +{}
    • changedOutput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
    • removedOutput schema / properties / blocked_by_vocabulary / $ref
      Removed value: -"#/properties/vocabulary_warnings"
    • addedOutput schema / properties / blocked_by_vocabulary / items
      Added value: +{}
    • addedOutput schema / properties / blocked_by_vocabulary / type
      Added value: +"array"
    • addedOutput schema / properties / deprecated_params_ignored / propertyNames
      Added value: +{
      +  "type": "string"
      +}
    • addedOutput schema / properties / vocabulary_warnings / items
      Added value: +{}
  2. Addedv0.9.0

TDQS

A4.5/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Beyond the readOnly/idempotent annotations, the description discloses the economics that matter for this API: the call never spends credits, the $0.04 flat realtime price at Tier 0, and the fact that realtime runs only when explicitly requested. The consistency between 'never spends credits' and readOnlyHint=true reinforces trust rather than contradicting it.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences, front-loaded with the core outcome, then the free/paid distinction, then the realtime cost caveat. Every sentence carries weight; the only mild inefficiency is the slightly convoluted first clause ('what pulling them would cost at this account's prices').

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With 36 parameters, a 100% documented schema, and an output schema present, the description does not need to restate filters or return shape. It covers the two things the schema cannot: that the default path is free and that realtime billing is opt-in. A brief note on the two-level ICP (company_filters) would have made it fully complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3 and the schema already documents mode, strict, exclude_ids and the rest in depth. The description still adds value the schema does not: the concrete realtime price and the warning that passing mode:'realtime' is what triggers billing, which turns an enum choice into a cost decision.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific resource and outcome — how many leads match an ICP and what pulling them would cost — and explicitly separates itself from search_leads ('the first step before search_leads'). Even though it is phrased as a question rather than a verb, an agent can immediately tell this is a sizing/counting tool, not a row-returning one.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives clear routing logic: use this first to size an audience for free, then call search_leads to actually pull rows, and avoid mode:'realtime' unless you accept a $0.04 charge. The one gap is that the sibling count_companies (the company-side equivalent) is never mentioned, so the leads-versus-companies choice is left implicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.