# How to integrate Peopledatalabs MCP with Hermes

```json
{
  "title": "How to integrate Peopledatalabs MCP with Hermes",
  "toolkit": "Peopledatalabs",
  "toolkit_slug": "peopledatalabs",
  "framework": "Hermes",
  "framework_slug": "hermes-agent",
  "url": "https://composio.dev/toolkits/peopledatalabs/framework/hermes-agent",
  "markdown_url": "https://composio.dev/toolkits/peopledatalabs/framework/hermes-agent.md",
  "updated_at": "2026-05-06T08:23:20.854Z"
}
```

## Introduction

Hermes is a 24/7 autonomous agent that lives on your computer or server — it remembers what it learns and evolves as your usage grows.
This guide explains the easiest and most robust way to connect your Peopledatalabs account to Hermes. You can do this through either Composio Connect CLI or Composio Connect MCP. For personal use we recommend the CLI, but you won't go wrong with MCP either.

## Also integrate Peopledatalabs with

- [OpenAI Agents SDK](https://composio.dev/toolkits/peopledatalabs/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/peopledatalabs/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/peopledatalabs/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/peopledatalabs/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/peopledatalabs/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/peopledatalabs/framework/openclaw)
- [CLI](https://composio.dev/toolkits/peopledatalabs/framework/cli)
- [Google ADK](https://composio.dev/toolkits/peopledatalabs/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/peopledatalabs/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/peopledatalabs/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/peopledatalabs/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/peopledatalabs/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/peopledatalabs/framework/crew-ai)

## TL;DR

### What is Composio Connect?
Composio Connect is a consumer offering that lets anyone plug 1,000+ applications directly into their agent harness — including Hermes. It can:
- Search and load tools from relevant toolkits on-demand, reducing context usage.
- Chain multiple tools to accomplish complex workflows via a remote workbench, without excessive back-and-forth with the LLM.
- Manage app authentication end-to-end with zero manual overhead.

## Connect Peopledatalabs to Hermes

### Integrating Peopledatalabs with Hermes
### Using Composio Connect CLI
1. Install the Composio CLI
Run the install script directly, or paste https://composio.dev/hermes into your Hermes chat box to have it installed for you.

```bash
curl -fsSL https://composio.dev/install | bash
```

## What is the Peopledatalabs MCP server, and what's possible with it?

The Peopledatalabs MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Peopledatalabs account. It provides structured and secure access to rich B2B data, so your agent can enrich profiles, standardize company details, validate customer information, and perform advanced searches with ease.
- Comprehensive person data enrichment: Automatically enhance individual profiles using identifiers like email, phone, or full name combined with company or location data.
- Company data validation and enrichment: Instantly verify and enrich company details with firmographics, employee counts, and standardized fields to power your workflows.
- Advanced person search and filtering: Leverage Elasticsearch-powered queries to find the exact professional profiles you need using job title, skills, experience, and more.
- Data cleaning and standardization: Cleanse and structure raw company, school, or location data to maintain high-quality records in your systems.
- Skill and job title enrichment: Provide context and standardized information for job titles or professional skills to improve analytics and targeting.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `PEOPLEDATALABS_AUTOCOMPLETE_FIELD_SUGGESTIONS` | Autocomplete field suggestions | Provides autocompletion suggestions for a specific field (e.g., company, skill, title) based on partial text input. |
| `PEOPLEDATALABS_CLEAN_COMPANY_DATA` | 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. |
| `PEOPLEDATALABS_CLEAN_LOCATION_DATA` | Clean location data | Cleans and standardizes a raw, unformatted location string into a structured representation, provided the input is a recognizable geographical place. |
| `PEOPLEDATALABS_CLEAN_SCHOOL_DATA` | Clean school data | Cleans and standardizes school information; provide at least one of the school's name, website, or profile for optimal results. |
| `PEOPLEDATALABS_COMPANY_SEARCH_ELASTIC` | 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. |
| `PEOPLEDATALABS_ENRICH_COMPANY_DATA` | Enrich Company Data | Enriches company data from people data labs with details like firmographics and employee counts, requiring at least one company identifier. |
| `PEOPLEDATALABS_ENRICH_IP_DATA` | Enrich IP Data | Enriches an ip address with company, location, metadata, and person data from people data labs. |
| `PEOPLEDATALABS_ENRICH_JOB_TITLE_DATA` | Enrich job title data | Enhances a job title by providing additional contextual information and details. |
| `PEOPLEDATALABS_ENRICH_PERSON_DATA` | 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). |
| `PEOPLEDATALABS_ENRICH_SKILL_DATA` | 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. |
| `PEOPLEDATALABS_GENERATE_SEARCH_QUERY_ACTION` | 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. |
| `PEOPLEDATALABS_GET_COLUMN_DETAILS` | 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. |
| `PEOPLEDATALABS_GET_SCHEMA` | Get schema | Retrieves the schema, including field names, descriptions, and data types, for 'person' or 'company' entity types. |
| `PEOPLEDATALABS_IDENTIFY_PERSON_DATA` | 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. |
| `PEOPLEDATALABS_PEOPLE_SEARCH_ELASTIC` | 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. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Peopledatalabs MCP server provides comprehensive access to Peopledatalabs operations through Composio. Once connected, Hermes can perform all major Peopledatalabs actions on your behalf using natural language commands.

## Complete Code

None listed.

## Conclusion

### Way Forward
With Peopledatalabs connected, Hermes can now act on your behalf whenever it detects a relevant task or you ask it to.
From here, you can extend Hermes further:
- Connect more apps: Calendar, Slack, Notion, Linear, and hundreds of others are available through the same Composio Connect setup. Each new integration compounds what Hermes can do for you.
- Build workflows across tools: Once multiple apps are connected, Hermes can chain actions together — turn an email into a calendar invite, a Slack message into a Linear ticket, or a meeting note into a follow-up draft.
- Let it learn your patterns: The more you use Hermes, the better it gets at anticipating how you'd handle recurring tasks. Give it feedback on drafts and decisions, and it will adapt.
If you run into trouble or want to share what you've built, join the [community](https://discord.com/invite/composio) or check out the [Docs](https://docs.composio.dev?utm_source=toolkits&utm_medium=framework_template&utm_campaign=hermes&utm_content=docs) for deeper configuration options.

## How to build Peopledatalabs MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/peopledatalabs/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/peopledatalabs/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/peopledatalabs/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/peopledatalabs/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/peopledatalabs/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/peopledatalabs/framework/openclaw)
- [CLI](https://composio.dev/toolkits/peopledatalabs/framework/cli)
- [Google ADK](https://composio.dev/toolkits/peopledatalabs/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/peopledatalabs/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/peopledatalabs/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/peopledatalabs/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/peopledatalabs/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/peopledatalabs/framework/crew-ai)

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- [Tavily](https://composio.dev/toolkits/tavily) - Tavily offers powerful search and data retrieval from documents, databases, and the web. It helps teams locate and filter information instantly, saving hours on research.
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- [Datagma](https://composio.dev/toolkits/datagma) - Datagma delivers data intelligence and analytics for business growth and market discovery. Get actionable market insights and track competitors to inform your strategy.
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- [Elasticsearch](https://composio.dev/toolkits/elasticsearch) - Elasticsearch is a distributed, RESTful search and analytics engine for all types of data. It delivers fast, scalable search and powerful analytics across massive datasets.
- [Fireflies](https://composio.dev/toolkits/fireflies) - Fireflies.ai is an AI-powered meeting assistant that records, transcribes, and analyzes voice conversations. It helps teams capture call notes automatically and search or summarize meetings effortlessly.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Peopledatalabs MCP?

With a standalone Peopledatalabs MCP server, the agents and LLMs can only access a fixed set of Peopledatalabs tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Peopledatalabs and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with Hermes?

Yes, you can. Hermes fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Peopledatalabs tools.

### Can I manage the permissions and scopes for Peopledatalabs while using Tool Router?

Yes, absolutely. You can configure which Peopledatalabs scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Peopledatalabs data and credentials are handled as safely as possible.

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