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Connect Seamless.AI to Microsoft Copilot via MCP

Find and enrich B2B contacts and companies with Seamless.AI: search people by title, seniority, company, industry and location, search companies, research records for verified emails and phone numbers, poll the results and read contacts and companies already in your org.

HCBy HelpCode teamUpdated 5 min read Open-source on GitHub

No credit card · 7-day trial · Self-host alternative available

Seamless.AI

Seamless.AI

Find and enrich B2B contacts and companies with Seamless.AI: search people by title, seniority, company, industry and location, search companies, research records for verified emails and phone numbers, poll the results and read contacts and companies already in your org.

tools

10

Region

INTL

Category

Data Enrichment

Authentication

API Key

Required env vars

SEAMLESS_AI_API_KEY
Install in one click on Cloud

7-day free trial · No credit card

  • 7-day free trial
    No credit card required
  • GDPR & SOC 2 ready
    EU data residency, audit logs
  • Open-source on GitHub
    Open source · AGPL-3.0
  • Works with ChatGPT, Claude, Gemini
    Any MCP-compatible client

Skip the install. Get this working in under 2 minutes.

Start a free trial on cloud.anythingmcp.com, add the Seamless.AI in one click, then point your AI client (Claude, ChatGPT, Copilot or Cursor) at the generated MCP endpoint. No Docker, no git clone, zero engineering experience required.

Start free trial

Summary

Find and enrich B2B contacts and companies with Seamless.AI: search people by title, seniority, company, industry and location, search companies, research records for verified emails and phone numbers, poll the results and read contacts and companies already in your org.

Try asking

Example prompts for Seamless.AI

Click any prompt to copy it. Paste into Claude, ChatGPT, Cursor, Gemini, Copilot or OpenClaw to run it against this connector.

Seamless.AI · live via MCP
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Opus 4.7

Claude is AI and can make mistakes. Please double-check responses.

💡 No install? Use cloud.anythingmcp.com directly. Sign in, click Connectors → Seamless.AI, paste your credentials, mint an MCP API key — done. No Docker, no git clone, no local server.

Seamless.AI + Microsoft Copilot

Find and enrich B2B contacts and companies with Seamless.AI: search people by title, seniority, company, industry and location, search companies, research records for verified emails and phone numbers, poll the results and read contacts and companies already in your org.

Prerequisites

See the full setup instructions baked into the connector (visible in the in-app store when you select the connector). The required environment variables for this connector are:

SEAMLESS_AI_API_KEY

Step 1 — Get credentials

The connector uses the Seamless.AI Public API. The account needs Public API access: if Settings → Public API is not visible in Seamless.AI, ask your Seamless administrator or support.

  1. Sign in at login.seamless.ai and open Settings → Public API, tab API Key.
  2. Click Create New Connection and copy the key at once: it is shown only one time. Paste it into SEAMLESS_AI_API_KEY.
  3. Call seamless_ai_get_me to check the key; it costs nothing.
  4. The usual order: seamless_ai_lookup_locations for exact location spellings (a misspelt location silently returns nothing), then seamless_ai_search_contacts or seamless_ai_search_companies, then seamless_ai_research_contacts or seamless_ai_research_companies with the searchResultId values, and finally the poll tools every 2 to 5 seconds until each status is done.

Search and research spend the account's credits: a search costs 1 credit per started block of 10 results, research 1 credit per record. Polling, reading org records, location lookups and seamless_ai_get_me are free. Keep limit small and do not run the same search twice. The limit is 60 requests per minute per endpoint, shared by the whole Seamless org. A 422 insufficientCredits means no credits are left.

Step 2 — Install the adapter

curl -fsSL https://raw.githubusercontent.com/HelpCode-ai/anythingmcp/main/docker-compose.quickstart.yml -o docker-compose.yml
printf 'JWT_SECRET=%s\nENCRYPTION_KEY=%s\n' "$(openssl rand -hex 32)" "$(openssl rand -hex 32)" > .env
docker compose up -d

Step 3 — Add the connector in Microsoft Copilot

Your server URL: in AnythingMCP, open MCP Servers → the server this connector is on, and copy its URL (https://cloud.anythingmcp.com/mcp/…). Use it wherever this guide shows YOUR_SERVER_ID.

Microsoft Copilot uses MCP servers through agents built in Copilot Studio: you add AnythingMCP to an agent as a tool, then publish the agent to Microsoft 365 Copilot and Teams. Copilot Studio connects from Microsoft's cloud over Streamable HTTP, which AnythingMCP supports.

  1. In Copilot Studio, open your agent (or create one), go to Tools and choose Add a tool → New tool → Model Context Protocol.
  2. Enter a Server name (for example AnythingMCP), a Server description that says what the connector does, and the Server URL https://cloud.anythingmcp.com/mcp/YOUR_SERVER_ID. Copilot Studio uses the description to decide when to call the server.
  3. Under authentication, choose API key, set Type to Header and the header name to X-API-Key, then select Create.
  4. In Add tool, choose Create a new connection, paste an MCP API key from AnythingMCP (MCP Servers → your server → API keys) and select Add to agent.
  5. Try it in the agent's Test pane: ask for something that needs the Seamless.AI tools.
  6. Select Publish, then Channels → Microsoft 365 and Microsoft Teams, keep Make agent available in Microsoft Copilot selected and choose Add channel. See agent in Teams installs it for you; in Microsoft 365 Copilot, type @ and pick the agent.

Prefer per-user sign-in? Choose OAuth 2.0 → Dynamic discovery instead of an API key: each user then signs in to AnythingMCP the first time the agent calls it.

Self-hosting? Use your instance's public HTTPS address instead of https://cloud.anythingmcp.com. Copilot Studio connects from Microsoft's cloud, so localhost does not work.

Available tools

ToolWhat it does
seamless_ai_get_meReturn the Seamless.AI user the API key belongs to (email, first and last name)
seamless_ai_lookup_locationsLook up the exact location spelling Seamless.AI matches for contact and company location filters (cities, states, countries, postcodes)…
seamless_ai_search_contactsSearch Seamless.AI's B2B database for people by job title, seniority, department, company, domain, industry, size, revenue, location…
seamless_ai_search_companiesSearch Seamless.AI's database for companies by name, domain, location, industry, keywords, size, revenue, technologies, founding date or…
seamless_ai_research_contactsStart enrichment (research) of contacts to get verified emails, phone numbers and full profiles, either from searchResultIds of…
seamless_ai_research_companiesStart enrichment (research) of companies to get their full profile, either from searchResultIds of seamless_ai_search_companies or directly…
seamless_ai_poll_contact_researchGet the status and results of contact research requests
seamless_ai_poll_company_researchGet the status and results of company research requests
seamless_ai_list_org_contactsList contacts already researched into your Seamless.AI org within a date range, with their enriched data
seamless_ai_list_org_companiesList companies already researched into your Seamless.AI org within a date range, with their enriched data

FAQ

Which Copilot is this for? Microsoft 365 Copilot at work, through agents built in Copilot Studio. The Microsoft Copilot app for personal accounts has no option to add your own MCP server.

What do I need? A work account with access to Copilot Studio (a license or a trial) to build the agent. People who use it in Microsoft 365 Copilot or Teams need access to the agent: share it with them, or ask an admin to publish it to the organization. If your organization applies data policies to Power Platform connectors, they cover MCP servers too.

The agent doesn't call the tools. Check that the header name is exactly X-API-Key and that the key belongs to the same MCP server as the URL, and make the server description specific: Copilot Studio uses it to decide when to call the server. Publish the agent again after each change; in an open chat, type "start over" to get the new version.

Next steps

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