Autobound MCP. Draft pitches based on live prospect data.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Autobound connects your AI agent to deep B2B sales intelligence. It researches prospects—finding everything from job changes and funding rounds to tech adoption signals—and drafts hyper-personalized emails that actually get replies.
Stop guessing what works; start sending messages based on real, verifiable data.
What your AI agents can do
Check autobound status
Confirms that your connection to Autobound is active and working correctly.
Enrich bulk
Adds deep data points for a large group of contacts at once.
Enrich company
Retrieves detailed corporate information using only a company's name or domain.
Run natural language queries to find specific buying signals across target companies.
Pull deep firmographic and operational data for an entire organization using just its name or domain.
Retrieve real-time buying signals and personal history for individual people using their email address.
Programmatically generate unique, tailored copy for both email and LinkedIn outreach based on the collected data.
Monitor active outreach efforts and track lead performance across different phases of your sales funnel.
Ask AI about this MCP
Supported MCP Clients
OAuth 2.0 Compatible Gemini Waiting for input…
Autobound: 12 Tools for Outbound Intelligence
These tools let your agent perform deep data retrieval, from enriching contact profiles to executing full marketing campaigns.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Autobound on Vinkius019dd0becheck autobound status
Confirms that your connection to Autobound is active and working correctly.
019dd0beenrich bulk
Adds deep data points for a large group of contacts at once.
019dd0beenrich company
Retrieves detailed corporate information using only a company's name or domain.
019dd0beenrich contact
Gathers real-time buying signals and history for an individual person from their email address.
019dd0beexecute campaign
Runs a pre-designed outreach campaign across your list of prospects.
019dd0begenerate email
Creates highly personalized, ready-to-send sales email copy based on specific inputs.
019dd0begenerate linkedin
Writes tailored outreach messages optimized for the LinkedIn platform.
019dd0beget campaign
Pulls detailed performance metadata for a single, specific campaign you've run.
019dd0beget signal
Fetches the complete details and context behind one identified buyer signal.
019dd0belist campaigns
Retrieves a list of all your active or past outbound campaigns.
019dd0belist prospects
Shows you an overview list of leads, allowing you to select who needs enrichment.
019dd0besearch signals
Performs a semantic search for specific types of buying intent or corporate activity.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
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Make Your AI Do More
Start with Autobound, then connect any of our 4,800+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,800+ others, all in one place
- Add new capabilities to your AI anytime you want
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- Works with Claude, ChatGPT, Cursor, and more
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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Autobound. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 12 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
The tedious work of building a single lead profile takes forever.
Today, if you want to reach out to someone, you're clicking through three different tabs: LinkedIn for their job history, Crunchbase for the company funding rounds, and then maybe an email checker just to confirm their current title. You end up with a messy spreadsheet of data points that takes forever to synthesize into one coherent pitch.
With this MCP, you skip all those steps. Your agent performs the entire research process conversationally. It brings together job changes, tech adoption status, and funding details, giving you not just raw data, but the specific context needed for a perfect opening line.
The Autobound MCP gives you fully customized outreach content.
You no longer have to copy-paste vague research findings into your email draft. The agent takes the specific data—say, a Series B funding announcement—and uses it to generate the entire body of text for both an email and a LinkedIn message that feels natural.
What's different now is that you get actionable content immediately. You don't just get data; you get the finished product, ready to send.
What you can do with this MCP connector
This MCP lets you take full control of your outbound outreach strategy directly through conversation with your AI agent. You no longer have to manually copy and paste basic company details into a separate research tool before drafting a pitch. Instead, your agent performs high-fidelity semantic searches for things like active funding rounds or recent tech adoptions using just natural language.
It pulls deep firmographic data on companies and contacts by simply knowing their domain or email address. When you're ready to talk outreach, the system generates personalized content for both emails and LinkedIn messages based on those specific findings. If your workflow requires combining this lead enrichment with a separate CRM tool—say, logging the contact details into Salesforce before sending the message—you can build that cross-MCP automation sequence all through Vinkius, keeping everything connected and secure.
It's like having a dedicated sales analyst who lives inside your AI agent.
019dd0bf-4138-711a-b12f-626ac4081417 
How Autobound MCP Works
- 1 Subscribe to this MCP, then retrieve your API Key from your Autobound dashboard settings.
- 2 Connect the key in your preferred client (Claude, Cursor, etc.) and give your agent a prompt; for example, 'Find companies that recently raised Series B funding.'
- 3 Your AI agent executes the search, returns the detailed signal data, and you use that raw intelligence to ask it to generate a specific outreach message.
The bottom line is that your AI acts as a single command center, handling research, drafting, and campaign oversight without you ever leaving your chat window.
Who Is Autobound MCP For?
This is for anyone who spends time researching leads. SDRs who are tired of spending hours on LinkedIn trying to find a hook; Account Executives who need instant updates on key accounts; and Growth Marketers who want to automate the creation of high-quality, personalized content.
Building highly targeted prospect lists by running natural language searches for specific buying signals.
Checking key accounts daily to monitor job changes or new tech adoption without leaving their main workspace.
Automating the process of lead enrichment and generating personalized content for bulk campaigns.
What Changes When You Connect
- Stop wasting time. Instead of manually checking multiple dashboards, you can use
search_signalsto find exactly what your target companies care about—like funding or new hires—and have the AI report it immediately. - Personalization actually works now. You don't need a boilerplate email; the system uses data gathered from
enrich_companyto craft messages that mention specific recent events at their firm. - Scale your efforts without losing quality. Need to send out 100 emails? Use
enrich_bulkand then let the AI generate content, so every single message feels custom-written. - Keep tabs on your funnel easily. You can use
list_campaignsto see what's running, andget_campaignto check performance metrics without logging into a separate platform. - Save time writing outreach. With
generate_emailandgenerate_linkedin, you just feed the AI the signal data, and it spits out polished copy ready for review. - Always know why something matters. If your agent finds a flag, you can run
get_signalto see the full context behind that buyer intent—it's not just a random keyword.
Real-World Use Cases
A key account is going quiet.
The AE needs to revive contact with Acme Corp. They use enrich_company on the domain, find two recent hires in the engineering department, and then ask their agent to draft a message that references those new roles, making the outreach highly relevant.
Need to build a list for cold outreach.
The SDR needs 50 contacts who work at fintech companies in Boston. They use search_signals with 'Series A funding' and 'Boston', then run enrich_contact on the resulting emails, giving them both signals and names.
Running a major quarterly campaign.
The marketer wants to launch Q3 outreach. They first use list_prospects to select their target list, run enrich_bulk on the whole group, then hit 'go' with execute_campaign, monitoring results via get_campaign.
Drafting a complex follow-up.
The agent finds that the target company just updated their technology stack. The user asks the agent to draft an email referencing the specific tech adoption signal, ensuring the message is timely and relevant right away.
The Tradeoffs
Copy-pasting manual research.
Finding a funding round on one website, then copying the CEO's name to another tool just to write an email. It takes 15 minutes per lead and you lose context.
→
Use search_signals to find all relevant signals instantly. Then feed that raw data directly into the agent, which will generate the personalized message for you in one step.
Relying on generic email templates.
Sending 'Hi, thought you might be interested...' regardless of what the prospect actually does. The open rate is low and it looks like spam.
→
First, run enrich_contact to find a specific signal (like a job title change). Then ask the agent to generate an email that opens with 'Congrats on the Head of Marketing role...'—it's instant personalization.
Ignoring campaign performance data.
Running a big outreach effort and then just assuming it worked. You never know which message angle or segment actually converts.
→
Use list_campaigns to see what's active, and immediately check the detailed metrics using get_campaign so you know exactly what’s moving leads through your funnel.
When It Fits, When It Doesn't
You should use this MCP if your sales process depends on deep, real-time B2B intelligence. If your goal is to move past generic outreach and build messages that reference specific signals—like a recent funding round or new hire—this is essential. If you're building complex automations that need to enrich contacts first, then write content, and finally log the result into another system (say, updating HubSpot), this MCP lets you chain those steps together seamlessly across multiple platforms using Vinkius. Don't use it if your primary need is just a simple mailing list; for basic lists, a dedicated contact database tool might suffice. But when signals matter, Autobound is what you need.
Common Questions About Autobound MCP
How do I find out if a company is raising money using Autobound? (search_signals) +
You use search_signals and ask for specific signals like 'Series A funding' or 'Venture Capital'. The agent will perform the semantic search and give you a list of companies that match your criteria.
What is the difference between enrich_company and enrich_contact? +
enrich_company gives you data about the entire organization, like total employees or funding. enrich_contact focuses on an individual person, giving signals specific to their current role.
Can I write a personalized email without using generate_email? +
You can draft it manually, but you'll lose the power of context. Using generate_email ensures that the content is perfectly aligned with the specific signals found via enrichment.
How do I monitor my active outreach efforts? (list_campaigns) +
You use list_campaigns to see a summary of all your campaigns. From there, you can select one and run get_campaign for detailed performance metrics.
What should I know before using `enrich_bulk`? +
You must provide a structured list of contacts or companies for the tool to work. The bulk function processes data in batches, which is critical for large-scale pipeline enrichment.
How do I verify connectivity before running a campaign using `check_autobound_status`? +
You run this simple status check first. It confirms that your AI client has the necessary credentials and permissions to communicate with Autobound, preventing failed campaigns later.
Can I use `generate_linkedin` for cold outreach messages? +
Yes, it drafts highly personalized content specifically formatted for LinkedIn. To get the best results, include context about the prospect's company or recent activity in your prompt.
How does `list_prospects` help me segment my leads? +
list_prospects pulls a comprehensive list of potential targets. This allows you to view and filter metadata before running enrichment or executing any campaign, ensuring your outreach is highly targeted.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.