AntEater MCP. Audit team activity and track collaboration signals.
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AntEater. This server monitors digital properties and tracks team activity across emails, Slack, and Jira. It lets your AI agent programmatically pull high-fidelity metadata on who talked to whom, when, and what was discussed.
Use it to audit team progress and coordinate knowledge without manual searches.
What your AI agents can do
Check anteater status
Verifies if the AntEater API connection is active and working.
Get contact history
Retrieves the full communication history for a specified contact.
Get profile
Gets the detailed profile information for the user who is authenticated.
The agent compiles a list of recent activities across Slack, email, and Jira, providing a full view of team interaction history.
You retrieve the profile and activity logs for any specific team member using their name or ID.
The agent queries team communication channels, finding discussions across Slack and email based on keywords or dates.
You list all shared contacts or search for contacts by name or company to get relationship context.
The agent runs a check to verify the API connection status and monitors the volume of activity being ingested.
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AntEater MCP Server: 10 Tools for Team Monitoring
Use these tools to query team activity, retrieve user profiles, and search communications across Slack, email, and other sources.
019dd0b9check anteater status
Verifies if the AntEater API connection is active and working.
019dd0b9get contact history
Retrieves the full communication history for a specified contact.
019dd0b9get profile
Gets the detailed profile information for the user who is authenticated.
019dd0b9get user
Retrieves specific details about a named team member.
019dd0b9get user activity
Fetches the activity log for a specific team member over a given time frame.
019dd0b9list contacts
Lists all shared contacts available within the system.
019dd0b9list recent activity
Lists a chronological feed of recent team activities across all sources.
019dd0b9list users
Lists every team member registered in the system.
019dd0b9search activity
Searches for team activity records across both Slack and email using keywords.
019dd0b9search contacts
Searches the contact database using partial names or company names.
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 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ 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
What you can do with this MCP connector
This server lets your AI agent track team activity and manage contacts across emails, Slack, and Jira. You'll get high-fidelity metadata showing who talked to whom, when, and what they discussed. Your agent can check the check_anteater_status to verify the API connection is working and monitor the activity volume being ingested.
You can list all shared contacts with list_contacts or search the contact database by name or company using search_contacts. To find out who's been doing what, your agent can list all team members with list_users or get specific details about a named team member using get_user. You can pull the full communication history for any contact with get_contact_history or check a specific team member's activity log over a time period with get_user_activity.
The agent compiles a list of recent team activities across Slack, email, and Jira using list_recent_activity, and you can also search for team activity records across both Slack and email using search_activity. To look into specific people, you can get your own detailed profile information using get_profile or check a team member's activity using get_user_activity.
How AntEater MCP Works
- 1 Subscribe to the AntEater server and get your API Key from your AntEater Analytics dashboard.
- 2 Pass the API Key to your AI client (Claude, Cursor, etc.) to establish the connection.
- 3 Instruct your agent to perform a task, like 'Show me all activity for John Doe last week.' The agent then executes the necessary tools.
The bottom line is: Your AI agent uses the provided API key to talk to AntEater, pulling structured data about your team's activities and contacts into a single conversation.
Who Is AntEater MCP For?
The Operations Manager who needs to audit team activity without logging into five different dashboards. The Product Lead who must verify individual task metadata and project participation. The Developer who needs to integrate high-speed team analysis data into a custom dashboard.
Uses natural language to get instant team activity summaries and monitor overall team productivity.
Verifies individual task metadata and tracks project participation across multiple channels without leaving the AI interface.
Queries the API via the agent to feed AntEater's high-speed analysis data into internal dashboards.
What Changes When You Connect
- Track specific user performance by running
get_user_activityfor a team member. You get a precise log of their actions, not just a summary. - Keep a single source of truth for client relationships. Use
get_contact_historyto pull every message and interaction with a contact, eliminating scattered email threads. - Understand team workload at a glance. Running
list_recent_activityshows the most recent cross-platform actions, giving you an immediate view of what's moving. - Search across Slack and email history simultaneously.
search_activityfinds discussions about 'Project X' even if the original conversation happened weeks ago or in a different platform. - Maintain system reliability. Use
check_anteater_statusto verify the API connection and ensure your data pipeline is running correctly before relying on it. - Identify people quickly. Running
list_usersand thenget_userlets you build a roster and pull deep details on any team member without needing to know their email address.
Real-World Use Cases
Need to audit a project handoff.
A manager needs to know who owned the 'Alpha' project and what the final sign-off steps were. They ask their agent to run list_users to find the team, then get_user_activity for each person involved, and finally search_activity for 'Project Alpha sign-off'. The agent synthesizes the results, showing a clear timeline of ownership transfer.
Investigating a client communication gap.
A sales rep notices a client hasn't responded. They ask their agent to run search_contacts for the client's company and then get_contact_history to see if the client viewed recent communications or if there were any internal notes about the account. This confirms if the issue is external or internal.
Building a compliance audit trail.
The compliance officer needs a record of all communications around a specific regulation change. They ask the agent to run search_activity across all channels for keywords like 'GDPR' or 'Regulation 23'. The agent aggregates every hit from Slack and email, building a complete, searchable audit trail.
Determining team capacity.
A product lead needs to know if the design team has bandwidth for a new feature. They ask the agent to run list_users to identify all designers, then run get_user_activity to track hours spent on current sprints. This gives a quantitative view of team availability.
The Tradeoffs
Using the wrong search tool
Searching for a conversation about 'Project X' using only a standard email client search. You only get emails, missing the context from Slack or Jira.
→
Use search_activity to query across both Slack and email history for 'Project X'. This ensures you gather all communication context in one place.
Forgetting user context
Pulling a list of all contacts (list_contacts) and then trying to find out who was responsible for a specific contact without running get_user first. The list is too broad.
→
First, run search_contacts to narrow the list down. Then, use get_user with the resulting team member name to get specific profile details before checking activity.
Over-relying on single data points
Seeing a single entry in list_recent_activity and assuming it represents the whole project status. You miss the underlying context or who else was involved.
→
Cross-reference the single event. If the activity is logged by a user, run get_user_activity for that person. If it's about a contact, run get_contact_history to get the full story.
When It Fits, When It Doesn't
Use this server if your core pain is knowledge fragmentation. If you need to stitch together a picture of a team's progress from emails, Slack, and Jira—you need this. It’s built for auditing and reporting. Don't use this if you just need to check a single database table or run a single, isolated query. For example, if you only need to see the current status of a single user's account, get_profile might be enough. But if you need to know that user's activity AND their contacts, you need the full suite of tools here.
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
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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 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Manually building a project status report is a time sink.
Right now, to understand who is doing what on a project, you open Slack, scroll through threads. Then you switch to Jira to check task status. Then you jump to your email to see client approvals. You copy dates, names, and status updates into a spreadsheet. This takes thirty minutes, and you probably miss something.
With the AntEater MCP Server, you ask your agent, 'What is the status of Project X?' Your AI pulls all the necessary data—the Slack threads, the Jira updates, the email approvals—and gives you a single, coherent summary. You get the full picture, instantly.
AntEater MCP Server: Get a complete view of team activity.
You no longer have to manually cross-reference the outputs of `list_users`, `get_user_activity`, and `search_activity`. You simply ask the agent to 'Give me the activity summary for the marketing team last week.' The agent orchestrates the calls and synthesizes the final report.
The data isn't just retrieved; it's compiled. You get a single, unified answer that saves the manual steps of data aggregation and synthesis.
Common Questions About AntEater MCP
How do I use the `get_user` tool with AntEater? +
You need to provide the name or ID of the team member. The agent retrieves the user's core profile details, like their job title and department, allowing you to verify their role.
Can I search for multiple things using `search_activity`? +
Yes. You can include multiple keywords or sources. The agent searches across both Slack and email simultaneously, returning hits from all specified platforms.
Is `get_contact_history` the same as `list_recent_activity`? +
No. list_recent_activity shows general, system-wide activity across the whole team. get_contact_history is specific to one person or account and shows their unique interaction timeline.
How do I check the API connection using `check_anteater_status`? +
You call check_anteater_status to verify that the API connection is live and functional. A successful response confirms the data stream is operational.
What data does `search_contacts` provide? +
This tool allows you to search the contact database by name or company. It returns relevant contact records so you can select the right person to investigate further.
When should I use `list_users` versus `get_user_activity`? +
Use list_users to get a roster of all team members. Then, use get_user_activity with a specific user ID to pull detailed activity records for that person.
How does `search_activity` handle complex queries like combining Slack and email searches? +
The search_activity tool combines both channels into one search. You can input multiple keywords or time ranges to filter results across both Slack and email activity.
What information does `get_contact_history` provide beyond just messages? +
The get_contact_history tool returns a comprehensive record. It includes not only the message content but also metadata like timestamps, sender IDs, and participant lists.
How do I find my AntEater API Key? +
Log in to your AntEater Analytics dashboard, navigate to Settings > API, and copy your unique Access Token.
Can I search Slack messages via AI? +
Yes! The search_activity tool allows your agent to perform keyword searches across your integrated Slack and email channels.
How do I list my active team members? +
Use the list_users tool to retrieve your complete team directory along with the unique identifiers for all managed staff.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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