Fullenrich MCP connector for AI agents

Tools your prospecting agent reaches for on Fullenrich MCP, scoped per user.

CALL ANY TOOL

Each tool maps to a Fullenrich API endpoint and runs under the authenticated user's key.

fullenrichmcp_enrich_bulk

Enrich Bulk

Launch an asynchronous bulk enrichment job for a list of contacts, retrieving professional email addresses or phone numbers. Returns an enrichment ID and URL to track results.

Parameters

Name

Type

Required

Description

contacts

string

Required

List of contacts to enrich

fields

string

Required

Enrichment fields to request

name

string

Required

Short human-readable label for this enrichment (e.g. Google Engineers Emails)

fullenrichmcp_enrich_personal_email_bulk

Enrich Personal Email Bulk

fullenrichmcp_enrich_search_contact

Enrich Search Contact

Launch an asynchronous enrichment job for contacts matching search filters, enriching them with professional emails or phone numbers. Returns an enrichment ID to track progress.

Parameters

Name

Type

Required

Description

fields

string

Required

Enrichment fields to request

current_company_days_since_last_job_change

string

Optional

Filter by days since last job change

current_company_domains

string

Optional

Filter by current company domain

current_company_founded_years

string

Optional

Filter by current company founded year range

current_company_headcounts

string

Optional

Filter by current company employee count range

current_company_headquarters

string

Optional

Filter by current company HQ location

current_company_ids

string

Optional

Filter by current company ID

current_company_industries

string

Optional

Filter by current company industry

current_company_linkedin_urls

string

Optional

Filter by current company LinkedIn URL

current_company_names

string

Optional

Filter by current company name

current_company_specialties

string

Optional

Filter by current company specialties

current_company_types

string

Optional

Filter by current company type

current_company_years_at

string

Optional

Filter by years at current company

current_position_seniority_level

string

Optional

Filter by seniority level (Director, VP, or C-level)

current_position_titles

string

Optional

Filter by current job title

current_position_years_in

string

Optional

Filter by years in current position

limit

integer

Optional

Number of contacts to enrich (default: 10000, max: 10000)

offset

integer

Optional

Number of results to skip

past_company_domains

string

Optional

Filter by past company domains

past_company_names

string

Optional

Filter by past company names

past_position_titles

string

Optional

Filter by past job titles

person_ids

string

Optional

Filter by person ID

person_linkedin_urls

string

Optional

Filter by LinkedIn profile URL

person_locations

string

Optional

Filter by location (city, region, or country)

person_names

string

Optional

Filter by name (first, last, or full)

person_skills

string

Optional

Filter by skills

person_universities

string

Optional

Filter by university attended

fullenrichmcp_export_companies

Export Companies

fullenrichmcp_export_contacts

Export Contacts

Export contact search results to a CSV or JSON file. Use this when you need more than 10 results. Returns a download URL valid for 24 hours.

Parameters

Name

Type

Required

Description

format

string

Required

required

current_company_days_since_last_job_change

string

Optional

Filter by days since last job change

current_company_domains

string

Optional

Filter by current company domain

current_company_founded_years

string

Optional

Filter by current company founded year range

current_company_headcounts

string

Optional

Filter by current company employee count range

current_company_headquarters

string

Optional

Filter by current company HQ location

current_company_ids

string

Optional

Filter by current company ID

current_company_industries

string

Optional

Filter by current company industry

current_company_linkedin_urls

string

Optional

Filter by current company LinkedIn URL

current_company_names

string

Optional

Filter by current company name

current_company_specialties

string

Optional

Filter by current company specialties

current_company_types

string

Optional

Filter by current company type

current_company_years_at

string

Optional

Filter by years at current company

current_position_seniority_level

string

Optional

Filter by seniority level (Director, VP, or C-level)

current_position_titles

string

Optional

Filter by current job title

current_position_years_in

string

Optional

Filter by years in current position

limit

integer

Optional

Maximum number of results to export (default: 10000, max: 10000)

offset

integer

Optional

Number of results to skip before exporting

past_company_domains

string

Optional

Filter by past company domains

past_company_names

string

Optional

Filter by past company names

past_position_titles

string

Optional

Filter by past job titles

person_ids

string

Optional

Filter by person ID

person_linkedin_urls

string

Optional

Filter by LinkedIn profile URL

person_locations

string

Optional

Filter by location (city, region, or country)

person_names

string

Optional

Filter by name (first, last, or full)

person_skills

string

Optional

Filter by skills

person_universities

string

Optional

Filter by university attended

fullenrichmcp_export_enrichment_results

Export Enrichment Results

fullenrichmcp_get_credits

Get Credits

fullenrichmcp_get_enrichment_results

Get Enrichment Results

fullenrichmcp_list_industries

List Industries

fullenrichmcp_search_companies

Search Companies

fullenrichmcp_search_contact_by_email

Search Contact By Email

fullenrichmcp_search_people

Search People

Search for contacts in the FullEnrich database using filters such as name, company, job title, location, and skills. Returns up to 10 preview results.

Parameters

Name

Type

Required

Description

current_company_days_since_last_job_change

string

Optional

Filter by days since last job change

current_company_domains

string

Optional

Filter by current company domain

current_company_founded_years

string

Optional

Filter by current company founded year range

current_company_headcounts

string

Optional

Filter by current company employee count range

current_company_headquarters

string

Optional

Filter by current company HQ location

current_company_ids

string

Optional

Filter by current company ID

current_company_industries

string

Optional

Filter by current company industry

current_company_keywords

string

Optional

Filter by current company keywords

current_company_linkedin_urls

string

Optional

Filter by current company LinkedIn URL

current_company_names

string

Optional

Filter by current company name

current_company_specialties

string

Optional

Filter by current company specialties

current_company_types

string

Optional

Filter by current company type

current_company_years_at

string

Optional

Filter by years at current company

current_position_seniority_level

string

Optional

Filter by seniority level (Director, VP, or C-level)

current_position_titles

string

Optional

Filter by current job title

current_position_years_in

string

Optional

Filter by years in current position

include_descriptions

boolean

Optional

If true, include description fields (company descriptions, position descriptions) in the response. Default false to save tokens.

limit

integer

Optional

Number of results to return (max 10)

past_company_domains

string

Optional

Filter by past company domains

past_company_names

string

Optional

Filter by past company names

past_position_titles

string

Optional

Filter by past job titles

person_ids

string

Optional

Filter by person ID

person_linkedin_urls

string

Optional

Filter by LinkedIn profile URL

person_locations

string

Optional

Filter by location (city, region, or country)

person_names

string

Optional

Filter by name (first, last, or full)

person_skills

string

Optional

Filter by skills

person_universities

string

Optional

Filter by university attended

Build your Agent

One auth setup wires Fullenrich MCP into every major agent framework without touching your enrichment logic.

Try these prompts

Drop any of these into your agent to start enriching prospects immediately.

Prospect enrichment

Copy the prompt

Copied

Find the work email and mobile for [first name] [last name] at [company].

Copy the prompt

Copied

Enrich all contacts in my CSV who are missing phone numbers.

Copy the prompt

Copied

What is the confidence score for the email you just found?

Bulk operations

Copy the prompt

Copied

Submit these 200 LinkedIn URLs for batch enrichment.

Copy the prompt

Copied

How many credits do I have left before my next refill?

Copy the prompt

Copied

Check the status of my enrichment job from this morning.

Copy the prompt

Copied

Download results for job ID [job_id] and push them to HubSpot.

Pipeline research

Copy the prompt

Copied

Find direct dials for all open opportunities in my pipeline over $20K.

Copy the prompt

Copied

Enrich the attendee list from last week's webinar and format it as a CSV.

Copy the prompt

Copied

Which EMEA prospects are missing phone numbers? Enrich them now.

SEE HOW AUTH WORKS

The user connects their Fullenrich API key once; every agent call after resolves their credential at runtime with scope enforcement.

Authorize

Your user connects

Fullenrich MCP

once. We tie it to their identity and the meetings they approved — no shared bot account, no org-wide access

Who:

user ‘A’

when:

Once per user

access:

Limited to user

Store

Their

Fullenrich MCP

token lives in a vault scoped to them. User A's meetings are never reachable by an agent acting for user B, even on the same connection

vault:

encrypted

scope:

per-user

tokens:

auto-refreshed

Resolve

When your agent calls a

Fullenrich MCP

tool, we fetch the right token server-side. It never touches your agent, never appears in the LLM context, never shows up in your logs

speed:

~40ms

check:

before every call

seen by:

nobody

Audit

Every

Fullenrich MCP

tool call is logged — who triggered it, which meeting was fetched, what came back. 90 days of history, tied to the user who authorized it

history:

90 days

export:

SIEM-ready

logged:

every call

Test other agents

See the same per-user auth pattern working across sales intelligence, CRM, and outreach connectors.

GTM

CRM AI agent

Log calls, update opportunity stages, and surface stalled deals across HubSpot or Salesforce. No manual data entry.

HubSpot

Salesforce

View agent

SALES

Deal intelligence agent

Combine Gong, Attio, and Slack signals to surface deal risks and next-best actions. Updated after every call.

Why Scalekit

Secure your agent's access. Connectors ship in minutes

Most enrichment integrations pass a single shared API key that breaks attribution the moment two users touch the agent.

01.

Shared tokens break per-user analytics

A shared Fullenrich key looks fine in a demo. In production, every enrichment call is billed to one account and credited to no one. Scalekit resolves the real user credential so usage, cost, and attribution stay accurate.

// shared key
enrichment → api_key_team_shared
audit → service_account

// scalekit
enrichment → api_key_user_abc
audit → user_abc ✓

02.

Authentication is not authorization

03.

Multi-tenancy is architectural

04.

Fullenrich MCP today. Others tomorrow.

“Our agents act across Salesforce, Gong, Google Drive, and more, on behalf of every customer. Scalekit behind the scenes meant we can keep adding tools without ever rebuilding how credentials or tool calling work.”

Venu Madhav Kattagoni

Head of Engineering / Von

FAQs

Frequently Asked Questions

Does every user need their own Fullenrich API key, or can I use one shared key?

Each user connects their own Fullenrich API key through Scalekit's vault. This preserves per-user credit usage, billing attribution, and audit logs. Shared keys collapse all activity into a single account and break any per-seat reporting Fullenrich provides.

How does Scalekit store my users' Fullenrich API keys?

Keys are encrypted with AES-256 at rest and stored in Scalekit's credential vault. They are decrypted in memory only at the moment of an API call and are never written into agent context, logs, or prompt history.

Can I limit which Fullenrich tools a specific agent or role can call?

Yes. Scalekit's listScopedTools returns only the tools the authenticated user is permitted to call based on their role and your tenant configuration. An agent presented with a restricted scope will not see fullenrich_bulk_enrich unless that tool is explicitly allowed for that user.

What happens if a user revokes their Fullenrich API key or their account is deprovisioned?

Scalekit detects the revocation on the next credential resolution attempt. Subsequent tool calls for that user return an auth error immediately rather than making a live Fullenrich request. You can also proactively delete the credential from the vault via the Scalekit API when deprovisioning users from your app.

Fullenrich charges per enrichment credit — how do I prevent agents from over-consuming a user's quota?

You can set tool-level rate limits and call budgets in Scalekit's connector configuration. Combined with the fullenrich_credits_balance tool, your agent can check remaining credits before submitting bulk jobs and surface a warning to the user before credits run out.

On this page

Tool and actions Framework Compatibility Starter Prompt Auth Lifecycle Try Other Agents Why Scalekit