# How to integrate Peopledatalabs MCP with Claude Code ```json { "title": "How to integrate Peopledatalabs MCP with Claude Code", "toolkit": "Peopledatalabs", "toolkit_slug": "peopledatalabs", "framework": "Claude Code", "framework_slug": "claude-code", "url": "https://composio.dev/toolkits/peopledatalabs/framework/claude-code", "markdown_url": "https://composio.dev/toolkits/peopledatalabs/framework/claude-code.md", "updated_at": "2026-05-12T10:21:44.689Z" } ``` ## Introduction Manage your Peopledatalabs directly from Claude Code with zero worries about OAuth hassles, API-breaking issues, or reliability and security concerns. You can do this in two different ways: - Via [Composio Connect](https://dashboard.composio.dev/login?utm_source=toolkits&utm_medium=framework_template&utm_campaign=claude-code&utm_content=composio_connect&next=%2F~%2Forg%2Fconnect%2Fclients%2Fclaude-code) - Direct and easiest approach - Via [Composio SDK](https://docs.composio.dev/docs?utm_source=toolkits&utm_medium=framework_template&utm_campaign=claude-code&utm_content=composio_sdk) - Programmatic approach with more control ## 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 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) - [Hermes](https://composio.dev/toolkits/peopledatalabs/framework/hermes-agent) - [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 - Only one MCP URL to connect multiple apps with Claude Code with zero auth hassles. - Programmatic tool calling allows LLMs to write its code in a remote workbench to handle complex tool chaining. Reduces to-and-fro with LLMs for frequent tool calling. - Handling Large tool responses out of LLM context to minimize context rot. - Dynamic just-in-time access to 20,000 tools across 1000+ other Apps for cross-app workflows. It loads the tools you need, so LLMs aren't overwhelmed by tools you don't need. ## Connect Peopledatalabs to Claude Code ### Connecting Peopledatalabs to Claude Code using Composio 1. Add the Composio MCP to Claude ```bash claude mcp add --scope user --transport http composio https://connect.composio.dev/mcp ``` ## What is Claude Code? Claude Code is Anthropic's command line developer tool that lets you use Claude directly inside your terminal. Instead of switching between your editor, browser, and chat, you can stay in your project folder and ask Claude to help you build, debug, refactor, and understand code right where you're working. Key features include: - Terminal-Native Experience: Work with Claude directly in your command line without switching contexts - MCP Support: Built-in support for Model Context Protocol servers to extend Claude's capabilities - Project Context: Claude understands your project structure and can read, write, and modify files - Interactive Development: Ask questions, debug code, and get help in real-time while coding - Multi-Platform: Works on macOS, Linux, WSL, and Windows ## 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_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_COMPANY_POST` | Clean company data (POST) | Tool to clean and standardize company data using POST method. Use when you need to standardize company information by providing company name, website, or social profile. Returns standardized company information including name, website, LinkedIn profile, and other company identifiers. | | `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_LOCATION_POST` | Clean location data (POST) | Tool to clean and standardize location data using POST method. Use when you need to normalize raw location strings into structured location information including city, region, and country. | | `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_CLEAN_SCHOOL_DATA_POST` | Clean school data (POST) | Tool to clean and standardize school data using POST method. Use when you need to clean school information by providing name, website, or profile. | | `PEOPLEDATALABS_ENRICH_BULK_COMPANY_DATA` | Enrich Bulk Company Data | Tool to enrich up to 100 companies in a single request using the Bulk Company Enrichment API. Use when you need to enrich multiple company profiles efficiently. Each request must include at least one company identifier (website, profile, name, ticker, or pdl_id). Results are returned in the same order as the input requests, with individual status codes indicating success (200) or failure (404). | | `PEOPLEDATALABS_ENRICH_BULK_PERSON_DATA` | Enrich bulk person data | Tool to enrich up to 100 person profiles in a single API request using the Bulk Person Enrichment API. Use when you need to enrich multiple people efficiently, as this effectively increases the rate limit by up to 100x compared to individual enrichment calls. Each request in the array can use the same parameters as the single person enrichment endpoint. | | `PEOPLEDATALABS_ENRICH_COMPANY_DATA` | Enrich Company Data | Enriches company data from People Data Labs with details like firmographics and employee counts. CRITICAL: This action REQUIRES at least one company identifier. DO NOT send empty {} requests. You MUST provide at least one of: pdl_id, name, profile, ticker, or website. Valid request examples: - {"name": "Apple Inc."} - enrich by company name - {"website": "google.com"} - enrich by website URL - {"ticker": "MSFT"} - enrich by stock ticker - {"profile": "linkedin.com/company/microsoft"} - enrich by social profile. Each call consumes API credits; use specific identifiers rather than exploratory requests. | | `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` | 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_AUTOCOMPLETE_FIELD_SUGGESTIONS` | Autocomplete field suggestions | Provides autocompletion suggestions for a specific field (e.g., company, skill, title) based on partial text input. | | `PEOPLEDATALABS_GET_AUTOCOMPLETE_SUGGESTIONS_POST` | Get autocomplete suggestions (POST) | Tool to get autocompletion suggestions using POST method for complex query parameters. Use when building type-ahead interfaces or needing to suggest values for Search API queries. Supports company, location, skill, title, and other fields with configurable result size. | | `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_GET_SUBJECT_REQUESTS` | Get subject requests | Tool to retrieve subject access requests for data privacy compliance. Use when you need to manage or review data subject requests related to person data in your PeopleDataLabs account. | | `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, or profile URL. If using name alone, it must be paired with at least one additional attribute (company, location, school, etc.) — name-only queries return no match. | | `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. | | `PEOPLEDATALABS_QUERY_PERSON_CHANGELOG` | Query person changelog | Tool to query the changelog of person records between two consecutive dataset versions. Returns information about updates, additions, deletions, merges, and opt-outs for individuals. Use when you need to track changes to person profiles across PDL dataset versions or monitor specific person IDs for updates. | | `PEOPLEDATALABS_SEARCH_COMPANY_ELASTIC` | Company Search with Elasticsearch | Performs a search for company 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 company, such as name, industry, employee_count, founded year, location, 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. - This action queries the People Data Labs company search endpoint (`/v5/company/search`) and returns company records. | | `PEOPLEDATALABS_SEARCH_COMPANY_POST` | Search Company Records (POST) | Tool to search and filter company records from the full Company Dataset using Elasticsearch or SQL queries via POST method. Use when you need to find multiple companies matching specific criteria with complex filtering. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Peopledatalabs MCP server is an implementation of the Model Context Protocol that connects Claude Code (and other AI assistants like Claude and Cursor) directly to your Peopledatalabs account. It provides structured and secure access so Claude can perform Peopledatalabs operations on your behalf. With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster. ## Step-by-step Guide ### 1. Prerequisites Before starting, make sure you have: - Claude Pro, Max, or API billing enabled Anthropic account - Composio API Key - A Peopledatalabs account - Basic knowledge of Python or TypeScript ### 1. Install Claude Code To install Claude Code, use one of the following methods based on your operating system: ```bash # macOS, Linux, WSL curl -fsSL https://claude.ai/install.sh | bash # Windows PowerShell irm https://claude.ai/install.ps1 | iex # Windows CMD curl -fsSL https://claude.ai/install.cmd -o install.cmd && install.cmd && del install.cmd ``` ### 2. Set up Claude Code Open a terminal, go to your project folder, and start Claude Code: - Claude Code will open in your terminal - Follow the prompts to sign in with your Anthropic account - Complete the authentication flow - Once authenticated, you can start using Claude Code ```bash cd your-project-folder claude ``` ### 3. Set up environment variables Create a .env file in your project root with the following variables: - COMPOSIO_API_KEY authenticates with Composio (get it from [Composio dashboard](https://dashboard.composio.dev/login?utm_source=toolkits&utm_medium=framework_template&utm_campaign=claude-code&utm_content=api_key&next=%2F~%2Forg%2Fconnect%2Fclients%2Fclaude-code)) - USER_ID identifies the user for session management (use any unique identifier) ```bash COMPOSIO_API_KEY=your_composio_api_key_here USER_ID=your_user_id_here ``` ### 4. Install Composio library No description provided. ```python pip install composio-core python-dotenv ``` ```typescript npm install @composio/core dotenv ``` ### 5. Generate Composio MCP URL No description provided. ```python import os from composio import Composio from dotenv import load_dotenv load_dotenv() COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY") USER_ID = os.getenv("USER_ID") composio_client = Composio(api_key=COMPOSIO_API_KEY) composio_session = composio_client.create( user_id=USER_ID, toolkits=["peopledatalabs"], ) COMPOSIO_MCP_URL = composio_session.mcp.url print(f"MCP URL: {COMPOSIO_MCP_URL}") print(f"\nUse this command to add to Claude Code:") print(f'claude mcp add --transport http peopledatalabs-composio "{COMPOSIO_MCP_URL}" --headers "X-API-Key:{COMPOSIO_API_KEY}"') ``` ```typescript import 'dotenv/config'; import { Composio } from '@composio/core'; const { COMPOSIO_API_KEY, USER_ID } = process.env; if (!COMPOSIO_API_KEY || !USER_ID) { throw new Error('COMPOSIO_API_KEY and USER_ID required in .env'); } const composioClient = new Composio({ apiKey: COMPOSIO_API_KEY }); const composioSession = await composioClient.create(USER_ID, { toolkits: ['peopledatalabs'], }); const composioMcpUrl = composioSession?.mcp.url; console.log(`MCP URL: ${composioMcpUrl}`); console.log(`\nUse this command to add to Claude Code:`); console.log(`claude mcp add --transport http peopledatalabs-composio "${composioMcpUrl}" --headers "X-API-Key:${COMPOSIO_API_KEY}"`); ``` ### 6. Run the script and copy the MCP URL No description provided. ```python python generate_mcp_url.py ``` ```typescript node --loader ts-node/esm generate_mcp_url.ts # or if using tsx tsx generate_mcp_url.ts ``` ### 7. Add Peopledatalabs MCP to Claude Code In your terminal, add the MCP server using the command from the previous step. The command format is: - claude mcp add registers a new MCP server with Claude Code - --transport http specifies that this is an HTTP-based MCP server - The server name (peopledatalabs-composio) is how you'll reference it - The URL points to your Composio Tool Router session - --headers includes your Composio API key for authentication After running the command, close the current Claude Code session and start a new one for the changes to take effect. ```bash claude mcp add --transport http peopledatalabs-composio "YOUR_MCP_URL_HERE" --headers "X-API-Key:YOUR_COMPOSIO_API_KEY" # Then restart Claude Code exit claude ``` ### 8. Verify the installation Check that your Peopledatalabs MCP server is properly configured. - This command lists all MCP servers registered with Claude Code - You should see your peopledatalabs-composio entry in the list - This confirms that Claude Code can now access Peopledatalabs tools If everything is wired up, you should see your peopledatalabs-composio entry listed: ```bash claude mcp list ``` ### 9. Authenticate Peopledatalabs The first time you try to use Peopledatalabs tools, you'll be prompted to authenticate. - Claude Code will detect that you need to authenticate with Peopledatalabs - It will show you an authentication link - Open the link in your browser (or copy/paste it) - Complete the Peopledatalabs authorization flow - Return to the terminal and start using Peopledatalabs through Claude Code Once authenticated, you can ask Claude Code to perform Peopledatalabs operations in natural language. For example: - "Enrich this email with full person profile" - "Standardize and clean this company name" - "Get detailed info for the skill 'Python'" ## Complete Code ```python import os from composio import Composio from dotenv import load_dotenv load_dotenv() COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY") USER_ID = os.getenv("USER_ID") composio_client = Composio(api_key=COMPOSIO_API_KEY) composio_session = composio_client.create( user_id=USER_ID, toolkits=["peopledatalabs"], ) COMPOSIO_MCP_URL = composio_session.mcp.url print(f"MCP URL: {COMPOSIO_MCP_URL}") print(f"\nUse this command to add to Claude Code:") print(f'claude mcp add --transport http peopledatalabs-composio "{COMPOSIO_MCP_URL}" --headers "X-API-Key:{COMPOSIO_API_KEY}"') ``` ```typescript import 'dotenv/config'; import { Composio } from '@composio/core'; const { COMPOSIO_API_KEY, USER_ID } = process.env; if (!COMPOSIO_API_KEY || !USER_ID) { throw new Error('COMPOSIO_API_KEY and USER_ID required in .env'); } const composioClient = new Composio({ apiKey: COMPOSIO_API_KEY }); const composioSession = await composioClient.create(USER_ID, { toolkits: ['peopledatalabs'], }); const composioMcpUrl = composioSession?.mcp.url; console.log(`MCP URL: ${composioMcpUrl}`); console.log(`\nUse this command to add to Claude Code:`); console.log(`claude mcp add --transport http peopledatalabs-composio "${composioMcpUrl}" --headers "X-API-Key:${COMPOSIO_API_KEY}"`); ``` ## Conclusion You've successfully integrated Peopledatalabs with Claude Code using Composio's MCP server. Now you can interact with Peopledatalabs directly from your terminal using natural language commands. Key features of this setup: - Terminal-native experience without switching contexts - Natural language commands for Peopledatalabs operations - Secure authentication through Composio's managed MCP - Tool Router for dynamic tool discovery and execution Next steps: - Try asking Claude Code to perform various Peopledatalabs operations - Add more toolkits to your Tool Router session for multi-app workflows - Integrate this setup into your development workflow for increased productivity You can extend this by adding more toolkits, implementing custom workflows, or building automation scripts that leverage Claude Code's capabilities. ## 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 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) - [Hermes](https://composio.dev/toolkits/peopledatalabs/framework/hermes-agent) - [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) ## Related Toolkits - [Firecrawl](https://composio.dev/toolkits/firecrawl) - Firecrawl automates large-scale web crawling and data extraction. It helps organizations efficiently gather, index, and analyze content from online sources. - [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. - [Exa](https://composio.dev/toolkits/exa) - Exa is a data extraction and search platform for gathering and analyzing information from websites, APIs, or databases. It helps teams quickly surface insights and automate data-driven workflows. - [Serpapi](https://composio.dev/toolkits/serpapi) - SerpApi is a real-time API for structured search engine results. It lets you automate SERP data collection, parsing, and analysis for SEO and research. - [Snowflake](https://composio.dev/toolkits/snowflake) - Snowflake is a cloud data warehouse built for elastic scaling, secure data sharing, and fast SQL analytics across major clouds. - [Posthog](https://composio.dev/toolkits/posthog) - PostHog is an open-source analytics platform for tracking user interactions and product metrics. It helps teams refine features, analyze funnels, and reduce churn with actionable insights. - [Amplitude](https://composio.dev/toolkits/amplitude) - Amplitude is a digital analytics platform for product and behavioral data insights. It helps teams analyze user journeys and make data-driven decisions quickly. - [Bright Data MCP](https://composio.dev/toolkits/brightdata_mcp) - Bright Data MCP is an AI-powered web scraping and data collection platform. Instantly access public web data in real time with advanced scraping tools. - [Browseai](https://composio.dev/toolkits/browseai) - Browseai is a web automation and data extraction platform that turns any website into an API. It's perfect for monitoring websites and retrieving structured data without manual scraping. - [ClickHouse](https://composio.dev/toolkits/clickhouse) - ClickHouse is an open-source, column-oriented database for real-time analytics and big data processing using SQL. Its lightning-fast query performance makes it ideal for handling large datasets and delivering instant insights. - [Coinmarketcal](https://composio.dev/toolkits/coinmarketcal) - CoinMarketCal is a community-powered crypto calendar for upcoming events, announcements, and releases. It helps traders track market-moving developments and stay ahead in the crypto space. - [Control d](https://composio.dev/toolkits/control_d) - Control d is a customizable DNS filtering and traffic redirection platform. It helps you manage internet access, enforce policies, and monitor usage across devices and networks. - [Databox](https://composio.dev/toolkits/databox) - Databox is a business analytics platform that connects your data from any tool and device. It helps you track KPIs, build dashboards, and discover actionable insights. - [Databricks](https://composio.dev/toolkits/databricks) - Databricks is a unified analytics platform for big data and AI on the lakehouse architecture. It empowers data teams to collaborate, analyze, and build scalable solutions efficiently. - [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. - [Delighted](https://composio.dev/toolkits/delighted) - Delighted is a customer feedback platform based on the Net Promoter System®. It helps you quickly gather, track, and act on customer sentiment. - [Dovetail](https://composio.dev/toolkits/dovetail) - Dovetail is a research analysis platform for transcript review and insight generation. It helps teams code interviews, analyze feedback, and create actionable research summaries. - [Dub](https://composio.dev/toolkits/dub) - Dub is a short link management platform with analytics and API access. Use it to easily create, manage, and track branded short links for your business. - [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 Claude Code? Yes, you can. Claude Code 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. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)