Skip to main content

SigParser MCP Server: Configuration Details

SigParser MCP Server tools, prompts, and resources and configuration details.

Updated yesterday

This article covers the full list of available MCP tools, prompts, and resources.

For setup instructions, see SigParser MCP Server: Overview.


MCP Tools

The SigParser MCP server exposes 21 tools through a standardized interface. All query tools support structured JSON filters with AND/OR grouping, sorting, pagination, and field selection.

Tip: AI agents should call get_sigparser_skill first. It returns a built-in guide that teaches the agent how to use SigParser's tools most effectively for relationship intelligence tasks.

Tool

Description

get_sigparser_skill

Returns an embedded relationship intelligence guide that teaches the AI agent how to generate pre-meeting company briefs, follow-up recommendations for stale relationships, and industry network analysis reports. AI agents should call this first before using other tools.

query_contacts

Query your contacts with structured JSON filters. Filter by status, job level, domain, interaction count, and more.

query_contacts_schema

Returns all available contact fields with data types and filter operators.

query_accounts

Query your companies with structured filters. Filter by industry, domain, email volume, status, and more.

query_accounts_schema

Returns all available company fields with data types and filter operators.

query_relationships

Query relationship records (coworker-to-contact interaction pairs) to understand who on your team knows whom.

query_relationships_schema

Returns all available relationship fields with data types and filter operators.

query_coworkers

Query internal team members whose mailboxes are connected.

query_coworkers_schema

Returns all available coworker fields with data types and filter operators.

query_job_experiences

Query historical job records to track career history and job changes for contacts.

query_job_experiences_schema

Returns all available job experience fields with data types and filter operators.

get_contact_by_email

Look up a specific contact by email address.

get_contacts_by_domain

Get all contacts at a company by domain.

get_companies_by_domain

Look up a company by domain.

create_or_update_contact

Create a new contact or update existing contact fields via the AI agent.

create_or_update_company

Create a new company or update existing company fields via the AI agent.

enrich_contact

Enrich a contact with job and LinkedIn profile data from third-party sources. Costs 10 credits per call.

validate_email_address

Validate an email address to check deliverability. Costs 1 credit per call.

get_current_user

Get the user profile associated with the API token.

get_current_user_permissions

Get the role and permissions for the current user.

get_team_members

List SigParser users on the same team, with optional search filtering.


MCP Prompts

The MCP server includes 6 pre-built prompt templates that guide AI agents through multi-step relationship intelligence tasks. These prompts are designed to coordinate multiple tools into a single, structured workflow.

Prompt

Description

relationship_overview

Get a complete relationship overview for a person (by email) or a company (by domain), including interaction history, relationship strength, and recent activity.

find_best_intro

Find who on your team has the warmest relationship with a target company — the best person to make an introduction.

contact_deep_dive

Comprehensive brief on a specific contact including full profile, interaction history, team relationships, and recent emails.

company_intelligence

Full intelligence brief on a company with all known contacts, interaction history, and relationship health.

top_engaged_contacts

Find your most frequently interacted contacts, optionally filtered by industry.

find_dormant_relationships

Identify contacts or companies you used to communicate with regularly but haven't heard from recently — great for re-engagement opportunities.

Relationship data requires the dedicated View All Relationships permission, just as it does in the app. The All Relationships feature is available on Team subscriptions and above.


MCP Resources

The MCP server exposes two resources that return field definitions, useful for building structured queries or understanding what data is available:

  • Contact Fields (sigparser://fields/contacts) — Returns all available contact field definitions including field ID, display name, data type, description, editability, and allowed values for select fields.

  • Company Fields (sigparser://fields/companies) — Returns all available company field definitions with the same level of detail.


What Data Is Available

Once connected, your AI assistant can access:

  • Contacts — names, email addresses, phone numbers, titles, seniority levels, location, interaction history, and relationship metrics

  • Companies — name, domain, industry, employee count, location, and overall relationship metrics

  • Relationships — the full history between any team member and any external contact, including emails sent and received, meetings held, relationship score (0–100), and interaction dates (Team subscription or higher required)

  • Coworkers — basic profile info on internal team members with connected mailboxes

  • Job Experiences — career history for contacts enriched via LinkedIn


Enable MCP Endpoint Permission

Access to the MCP server is controlled by a dedicated “Can Use MCP Endpoint” (mcp_use) permission.

  • Automatically granted to users with the Mailbox Admin role

  • Must be enabled for a user’s role by an admin before they can connect

  • Access to relationship data still requires the View All Relationships permission

The All Relationships feature is available on Team subscriptions and above.


Additional Resources


If you have any questions, send us an email at support@sigparser.com. You can also book a demo session HERE.

Did this answer your question?