Peopledatalabs

Peopledatalabs

PeopleDataLabs provides B2B data enrichment and identity resolution, empowering organizations to build enriched user profiles and validate customer information

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Install MCP Server

Paste and run this command in your terminal to set up Cursor with MCP

npx @composio/cli add cursor --app peopledatalabsnpx @composio/cli add cursor --app peopledatalabsnpx @composio/cli add cursor --app peopledatalabsnpx @composio/cli add cursor --app peopledatalabs

After running the command, restart Cursor to start using the MCP Server.

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Available Tools

Autocomplete Field Suggestions

Provides autocompletion suggestions for a specific field (e.g., company, skill, title) based on partial text input.

Clean Company Data

Cleans and standardizes company information based on a name, website, or profile url; providing at least one of these inputs is highly recommended for meaningful results.

Clean Location Data

Cleans and standardizes a raw, unformatted location string into a structured representation, provided the input is a recognizable geographical place.

Clean School Data

Cleans and standardizes school information; provide at least one of the school's name, website, or profile for optimal results.

Person Search With Elasticsearch

Performs a search for person profiles within people data labs using a custom elasticsearch domain specific language (dsl) query. this action allows for detailed and complex filtering based on various attributes of a person's profile, such as job title, skills, location, experience, and more. results can be paginated using the `size` and `scroll token` parameters. preconditions: - the `query` parameter must contain a valid elasticsearch dsl query string, structured as a json object. - if the `dataset` parameter is specified, it must be one of the allowed values: 'resume', 'email', 'phone', 'mobile phone', 'street address', 'consumer social', 'developer', 'all'. - note: this action queries the people data labs person search endpoint (`/v5/person/search`) and returns person records.

Enrich Company Data

Enriches company data from people data labs with details like firmographics and employee counts, requiring at least one company identifier.

Enrich Ip Data

Enriches an ip address with company, location, metadata, and person data from people data labs.

Enrich Job Title Data

Enhances a job title by providing additional contextual information and details.

Enrich Person Data

Enriches person data using various identifiers; requires a primary id (profile, email, phone, email hash, lid, pdl id) or a name (full, or first and last) combined with another demographic detail (e.g., company, school, location).

Enrich Skill Data

Retrieves detailed, standardized information for a given skill by querying the people data labs skill enrichment api; for best results, provide a recognized professional skill or area of expertise.

Generate Search Query

Converts natural language queries into structured pdl elasticsearch queries for people or company searches; generates optimized query structure without executing the search.

Get Column Details

Retrieves predefined enum values for a column name from `enum mappings.json`; `is enum` in the response will be false if the column is not found or is not an enum type.

Get Schema

Retrieves the schema, including field names, descriptions, and data types, for 'person' or 'company' entity types.

Identify Person Data

Retrieves detailed profile information for an individual from people data labs (pdl), requiring at least one identifier such as email, phone, profile url, name, or company.

People Search With Elasticsearch

Searches for person profiles in the people data labs (pdl) database using an elasticsearch domain specific language (dsl) query. this action allows for highly targeted searches based on criteria such as job titles, skills, company details, location, experience, and more. preconditions: - the provided elasticsearch query (in the `query` field) must be a syntactically correct json object representing a valid elasticsearch query. - the query must utilize fields that are defined in the people data labs person schema. - the `dataset` parameter must specify one of the allowed dataset categories.

15 actions available