# How to connect Peopledatalabs to Muse ```json { "title": "How to connect Peopledatalabs to Muse", "toolkit": "Peopledatalabs", "toolkit_slug": "peopledatalabs", "framework": "Muse", "framework_slug": "muse", "url": "https://composio.dev/toolkits/peopledatalabs/framework/muse", "markdown_url": "https://composio.dev/toolkits/peopledatalabs/framework/muse.md", "updated_at": "2026-10-04T16:40:19.989Z" } ``` ## Introduction Muse is Meta's AI assistant. It can connect to outside tools through custom connectors, which use the Model Context Protocol (MCP). This guide explains how to connect Peopledatalabs to Muse using Composio Connect, which handles OAuth, token refresh, and reliability so you do not have to. You add Composio as a custom connector once, then ask Muse to work with Peopledatalabs in plain language. ## Also integrate Peopledatalabs with - [Claude Code](https://composio.dev/toolkits/peopledatalabs/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/peopledatalabs/framework/claude-cowork) - [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) - [Grok Bot](https://composio.dev/toolkits/peopledatalabs/framework/grok-bot) - [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) - [Atomic Agent](https://composio.dev/toolkits/peopledatalabs/framework/atomic-agent) - [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) - [Pydantic AI](https://composio.dev/toolkits/peopledatalabs/framework/pydantic-ai) - [AutoGen](https://composio.dev/toolkits/peopledatalabs/framework/autogen) ## TL;DR - Cross-app workflows across 1,500+ apps from a single plugin layer. - On-demand tool loading so Muse only loads the tools needed for the current task. - Programmatic tool calling through a remote workbench for complex, multi-step workflows. - Multi-account support so users can connect and switch between multiple accounts for the same app. - Shared account access so teams or agents can work through common business accounts and service connections. - Managed authentication with OAuth handling, credential storage, and token refresh managed by Composio. - Safer credential handling so app credentials stay outside the model context and tool responses. - User-level account isolation so actions run against the correct connected account instead of mixing user access. ## Connect Peopledatalabs to Muse ### Connecting Peopledatalabs to Muse You add Composio to Muse once as a custom connector, then connect Peopledatalabs from the chat. ## What is the Peopledatalabs MCP server, and what's possible with it? The People Data Labs MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your People Data Labs account. It provides structured and secure access to company records, job postings, data cleaning tools, and dataset schemas, so your agent can search companies, find job postings, standardize company and location data, suggest field values, and inspect available data fields on your behalf. - Company record search: Have your agent find companies that match specific criteria using flexible business data queries. - Company data cleanup: Let the agent standardize company details from a business name, website, or profile URL. - Location standardization: Direct your agent to turn raw location text into clean, structured geographic information. - Job posting discovery: Instruct your agent to search People Data Labs job postings using criteria relevant to your recruiting or market research. - Schema and field guidance: Have your agent inspect person or company data fields, review allowed values, and suggest completions for partial company, skill, or title text. ## 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. ## Troubleshooting ### 1. Why doesn't Muse show a button to add my API key? Muse shows the button only when you ask it to open the secure credentials store. - Start a new chat. - Send the message from step 1 exactly as written. - If Muse asks for the key in the chat, do not paste it. Ask Muse to open the secure credentials store. ### 2. Why does the Composio connection fail after I add my API key? The key or the connector settings are not correct. - Copy the full key from the Composio dashboard. It starts with ck_. - Make sure the URL is https://connect.composio.dev/mcp and the header is x-consumer-api-key. - Remove the Composio connector in Muse settings, then do steps 1 to 3 again. ### 3. Why doesn't Muse use the Composio tools for Peopledatalabs? Muse may not pick the Composio connector for the request. - Ask Muse to list its Composio tools. - Name Composio and Peopledatalabs in your request, for example: Use Composio to connect to Peopledatalabs. - If it still does not work, start a new chat and try again. ### 4. Why does Muse ask me to connect Peopledatalabs again? Your Peopledatalabs connection expired or was removed. - Open the link Muse gives you and sign in to Peopledatalabs again. - Check that the Peopledatalabs connection shows as ACTIVE in the Composio dashboard. ### 5. What do I do if I pasted my API key into the chat? Treat the key as exposed. - Create a new API key in the Composio dashboard and delete the old one. - Add the new key in Muse's secure credentials store, not in the chat. ## Creating MCP Server - Stand-alone vs Composio SDK Once connected, Muse can access the Peopledatalabs MCP server through Composio to run the actions you authorize, using plain language in the chat. ## Complete Code None listed. ## Conclusion ### Way Forward Now that Peopledatalabs is connected, extend your setup by connecting the other apps you already use every day, so Muse can run true cross-app workflows end to end. - Connect Calendar to turn threads into scheduled meetings automatically. - Connect Slack or Teams to post summaries, approvals, and alerts where your team works. - Connect Notion, Linear, Jira, or Asana to convert requests into tickets, tasks, and docs. - Connect Drive, Dropbox, or OneDrive to fetch, file, and share attachments without manual steps. Start with one workflow you do repeatedly, then keep adding apps as you find new handoffs. With everything behind a single connection, Muse can coordinate multiple tools safely and reliably in one conversation. ## How to build Peopledatalabs MCP Agent with another framework - [Claude Code](https://composio.dev/toolkits/peopledatalabs/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/peopledatalabs/framework/claude-cowork) - [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) - [Grok Bot](https://composio.dev/toolkits/peopledatalabs/framework/grok-bot) - [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) - [Atomic Agent](https://composio.dev/toolkits/peopledatalabs/framework/atomic-agent) - [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) - [Pydantic AI](https://composio.dev/toolkits/peopledatalabs/framework/pydantic-ai) - [AutoGen](https://composio.dev/toolkits/peopledatalabs/framework/autogen) ## 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. - [Akta](https://composio.dev/toolkits/akta) - Akta is a company intelligence platform providing enrichment, news, and alternative business signals. It helps teams build targeted company lists and enrich data-driven workflows. - [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. - [Amplitude MCP](https://composio.dev/toolkits/amplitude_mcp) - Amplitude MCP is Amplitude's product analytics service for tracking user behavior and product metrics. Use it to centralize product data and manage charts, dashboards, cohorts, experiments, and taxonomy. - [Baremetrics](https://composio.dev/toolkits/baremetrics) - Baremetrics is a subscription analytics platform for recurring-revenue businesses. It helps teams track MRR, churn, customers, and revenue trends in one place. - [Bing Webmaster Tools](https://composio.dev/toolkits/bing_webmaster_tools) - Bing Webmaster Tools is Microsoft's search console for site performance, crawling, indexing, URL submission, and verified site management. It helps site owners understand Bing Search visibility and fix issues that affect organic traffic. - [Bread & Butter](https://composio.dev/toolkits/bread_butter) - Bread & Butter is a lead-intelligence and identity platform for website visitor tracking, user profiles, attribution, authentication, and conversion workflows. It helps teams understand who is visiting, where leads come from, and how users convert. - [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. - [BSC Designer](https://composio.dev/toolkits/bsc_designer) - BSC Designer is a strategy execution platform for balanced scorecards, KPIs, dashboards, and strategy maps. It helps teams turn goals into measurable performance plans they can track over time. - [Chameleon](https://composio.dev/toolkits/chameleon) - Chameleon is a product adoption platform for building in-app experiences, managing customer data, and analyzing user engagement. It helps teams improve onboarding, feature discovery, and product adoption with targeted user experiences. - [ChartMogul](https://composio.dev/toolkits/chartmogul) - ChartMogul is a subscription analytics and revenue data platform. It helps teams monitor MRR, churn, customer segments, and billing metrics. - [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. ## Frequently Asked Questions ### Does Muse support MCP? Yes. Muse supports custom connectors that use the Model Context Protocol (MCP). Composio connects as one custom connector over remote streamable HTTP at https://connect.composio.dev/mcp, and gives Muse access to Peopledatalabs and 1,500+ other apps. ### Where do I get the API key for the Composio connector? Copy it from the Composio dashboard. It starts with ck_. Enter it only in Muse's secure credentials store, never in the chat. ### Can I connect more than one Peopledatalabs account to Muse? Yes. Composio supports multiple connected accounts for the same app. Give each Peopledatalabs connection a name, such as work or personal, and tell Muse which one to use. ### How safe is my Peopledatalabs data with Composio? Tokens, keys, and configuration are encrypted at rest and in transit. Your Composio API key stays in Muse's secure credentials store, not in the chat or the model context. Composio is SOC 2 Type 2 compliant. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)