AntEater MCP Server for LlamaIndexGive LlamaIndex instant access to 10 tools to Check Anteater Status, Get Contact History, Get Profile, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add AntEater as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this App Connector for LlamaIndex
The AntEater app connector for LlamaIndex is a standout in the Productivity category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to AntEater. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in AntEater?"
)
print(response)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About AntEater MCP Server
Connect your AntEater (by AntEater Analytics) account to any AI agent and take full control of your team activity analysis and automated productivity monitoring through natural conversation.
LlamaIndex agents combine AntEater tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Activity Portfolio Orchestration — List and manage all captured team activities (emails, Slack, Jira) programmatically, retrieving detailed behavioral metadata
- Search & Discovery Intelligence — Programmatically search and retrieve high-fidelity insights from your organization's communication channels to maintain a perfectly coordinated knowledge base
- Productivity Architecture Monitoring — Access real-time status updates for team workstreams and track time-tracking results directly through your agent
- Metadata Management — Programmatically retrieve high-fidelity collaboration signals and interaction history to maintain a perfectly coordinated audit trail
- Operational Monitoring — Verify account-level API connectivity and monitor activity ingestion volume directly through your agent for perfectly coordinated service scaling
The AntEater MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 10 AntEater tools available for LlamaIndex
When LlamaIndex connects to AntEater through Vinkius, your AI agent gets direct access to every tool listed below — spanning activity-monitoring, behavioral-analytics, team-productivity, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Verify AntEater API connectivity
Get communication history for a contact
Get your authenticated user profile
Get details of a specific team member
Get activity for a specific team member
List all shared contacts
List recent team activity
List all team members
Search team activity across Slack and email
Search contacts by name or company
Connect AntEater to LlamaIndex via MCP
Follow these steps to wire AntEater into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the AntEater MCP Server
LlamaIndex provides unique advantages when paired with AntEater through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine AntEater tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain AntEater tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query AntEater, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what AntEater tools were called, what data was returned, and how it influenced the final answer
AntEater + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the AntEater MCP Server delivers measurable value.
Hybrid search: combine AntEater real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query AntEater to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying AntEater for fresh data
Analytical workflows: chain AntEater queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for AntEater in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with AntEater immediately.
"Search for Slack discussions related to 'Project X' from yesterday."
"Show the time spent on 'Development' tasks this week."
"Check for any new activity ingestion alerts today."
Troubleshooting AntEater MCP Server with LlamaIndex
Common issues when connecting AntEater to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAntEater + LlamaIndex FAQ
Common questions about integrating AntEater MCP Server with LlamaIndex.