AntEater MCP for AI. See every action, conversation, and status change in one query.
Works with every AI agent you already use
…and any MCP-compatible client








How this MCP server connects to your AI agent
AntEater MCP monitors and aggregates team activity across your entire digital stack, giving you a single view of collaboration signals.
It lets your AI client search through emails, Slack messages, Jira updates, and user interactions to instantly track who worked on what and when.
Stop guessing about project status; get high-fidelity insights into real team productivity.
What AI agents can do with AntEater Automation
Check anteater status
Verifies if the AntEater connection is active and working correctly.
Get contact history
Retrieves a full record of communications exchanged with one specific contact.
Get profile
Pulls details about the user who is currently logged in and using your agent.
Search across your organization's communication channels, including Slack and email, to find specific discussions or topics.
Retrieve detailed records of a specific team member's actions, including their communications and contribution history.
List all internal users or search for external contacts using name or company details.
Verify the connection status of the AntEater service and monitor how much activity data is being successfully ingested.
Ask an AI about this
Waiting for input…
What AI agents can do with AntEater with 10 Tools
These tools let your AI client perform specific, actionable tasks like searching communication history, managing user rosters, or checking system connection statuses.
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 AntEater on VinkiusCheck Anteater Status
Verifies if the AntEater connection is active and working correctly.
Get Contact History
Retrieves a full record of communications exchanged with one specific contact.
Get Profile
Pulls details about the user who is currently logged in and using your agent.
Get User
Fetches specific profile information for any known team member.
List Contacts
Provides a list of every shared external or internal contact in the system.
List Users
Generates a comprehensive roster of all registered team members.
List Recent Activity
Pulls together a general overview of the most recent actions taken by anyone on the team.
Search Activity
Searches for specific discussions or keywords across both Slack and email history.
Search Contacts
Finds external contacts by searching using their name or associated company.
Get User Activity
Gets a targeted record of all actions and activity specific to one team member.
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
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
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with AntEater, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,100+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AntEater. 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.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
Built on the Model Context Protocol (MCP) for 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 connection provides 10 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
The constant battle to piece together project status from scattered messages., Solved with Vinkius AI Gateway
Right now, figuring out what happened with 'Project X' means opening Slack, scrolling through threads; hopping into Gmail and searching keywords; then maybe checking a Jira board just to see who last updated the ticket. You end up losing context, spending 30 minutes in tabs, and still leaving yourself asking: did someone mention that detail via email or was it only in Slack?
With this MCP, you ask your agent one question. It handles the complexity of querying multiple systems—Slack, emails, Jira—and returns a cohesive summary right away. You don't navigate; you just get the answer.
AntEater provides perfect visibility into team activity.
You stop relying on manual searches and instead use `search_activity` to query across all channels. You can also run targeted checks using `get_user_activity`, instantly seeing every action a specific person took, rather than just viewing their profile.
The difference is going from guesswork to certainty. You get an operational record of everything that matters.
What your AI can actually do with this
AntEater gives your AI agent full visibility into everything happening within your organization's communication channels. Instead of jumping between Slack, email inboxes, and project management boards to figure out a project's status, you ask one question and the answer comes back with context. You can list all recent team activities or pinpoint specific interactions by searching across multiple platforms using a natural conversation.
It’s like having an operations coordinator who reads every message and keeps perfect notes for you.
This MCP makes auditing communication history simple. Need to know what was discussed about 'Project X' last week? Your agent finds it, pulling together threads from different people. You can also manage your team structure by listing all users or finding detailed information on specific contacts. Because this entire suite is hosted and managed by the Vinkius catalog, you connect once with any MCP-compatible client to get access to these powerful tools right away.
It’s about turning scattered digital signals into actionable intelligence.
019dd0b9-32ec-70e8-9cf6-bfc70f27a0e2 Here's how it actually works
The bottom line is you get immediate answers about team activity without needing to navigate multiple internal tools or databases.
Subscribe to this MCP, then get your API key from your AntEater Analytics dashboard.
Connect your AI client (like Cursor or Claude) to the Vinkius catalog and authorize access using that key.
Ask your agent a question like, 'What did Sarah discuss about the Q3 budget last week?' The agent performs the search and delivers the relevant context.
Who is this actually for?
This MCP is for Ops Managers, Product Leads, and Development teams who need perfect visibility into process flow. If you're tired of spending hours manually cross-referencing emails and Jira tickets to prove project progress, this is for you.
You use the MCP to pull team activity summaries instantly, helping audit who was working on what last quarter.
You check individual task metadata and track project participation across communication channels without leaving your primary workspace.
You integrate detailed user activity data into custom dashboards by running simple AI queries against the MCP's tools.
What Changes When You Connect
Stop guessing project status. Instead of checking three different dashboards for updates, your agent can search activity across Slack and email simultaneously to find the most current information.
Build a perfect audit trail automatically. You can retrieve collaboration signals and interaction history programmatically, giving you detailed proof of who communicated with whom about what.
Get immediate performance insights. Need to know how much time was spent on 'Development' tasks? Your agent provides that productivity metadata without complex SQL queries.
Manage your team roster easily. Simply list all users or retrieve a specific profile using the get_user tool, ensuring your internal data is always accurate for reporting.
Maintain system health effortlessly. Run check_anteater_status anytime to verify API connectivity and monitor the volume of activity being ingested.
See it in action
The Project Manager needs a status report before the meeting.
Instead of sending out an email asking everyone what they've done, you ask your agent to search for all recent activity related to 'Project Phoenix'. The system uses search_activity and returns relevant threads from Slack and emails, giving you everything needed in five seconds.
The Product Lead needs to verify a user's contribution on a specific feature.
You use your agent to get the activity for the lead developer. By calling get_user_activity, you instantly see every message and milestone they touched, verifying their direct involvement in the product lifecycle.
The Developer needs historical data on a vendor's contact.
You need to know if 'Acme Corp' talked about pricing before. You use search_contacts first, and then run get_contact_history to pull up every discussion record with that specific company.
The Operations Manager needs a quick audit of all team members.
To onboard a new auditor, you simply ask your agent to list all users using list_users. This provides the full roster, and if you need details on one person, you can use get_user immediately after.
The honest tradeoffs
Manual data cross-referencing
Jumping between Slack, Gmail, and Jira boards to piece together a timeline of events for one client.
Let your agent do the work. Use search_activity or list_recent_activity. This pulls all signals into one place so you don't lose context.
Assuming data is updated
Believing that a contact's status is current because it was seen in the CRM, but missing recent emails.
Always confirm by running get_contact_history to get the full communication record. Don't trust stale data.
Forgetting system connectivity issues
Writing a complex prompt and getting an error because the connection between your client and AntEater is down.
Always start by calling check_anteater_status. This confirms that all data streams are flowing before you run anything else.
When It Fits, When It Doesn't
Use this MCP if your primary pain point is finding 'who said what, when, and where' across multiple communication channels. It’s built for operational intelligence and behavioral analytics—you want to audit team effort, track project status in real time, or build a single source of truth from disparate data sources like emails and chat logs. Don't use this if you only need static records, such as a read-only list of employees (use list_users) or basic contact lookup (use search_contacts). If your goal is simply to manage documentation files, look for a document storage MCP; AntEater focuses purely on communication and activity.
Questions you might have
How does AntEater MCP search for team activity? +
AntEater searches across both Slack and email history simultaneously. This means you can find a discussion about 'Project X' even if one part was sent via email and another was posted in chat.
Can I use AntEater MCP to track specific people? +
Yes, you can target activity using the get_user_activity tool. You simply tell your agent which team member's actions you want to review.
What information does list_users provide? +
The list_users tool gives you a complete, up-to-date roster of every registered user within the system for your reference.
Is AntEater MCP good for compliance auditing? +
Absolutely. By combining get_contact_history with list_recent_activity, you create a detailed, searchable log of interactions needed for compliance and audits.
How do I know if AntEater MCP is connected correctly? +
You run the check_anteater_status tool. This immediately verifies your API connection status, letting you know if data ingestion is healthy.
We've already built the connector for AntEater. Just plug in your AI agents and start using Vinkius.
No hosting. No infrastructure. No complex setup.
All 10 tools are live and waiting.
You're up and running in seconds.
Vinkius gives your AI agents access to the full catalog of app connectors, all fully managed, secure, and enterprise-ready. One subscription, every tool you need.
Built, hosted, and secured by Vinkius. You just connect and go.