timeghost MCP Server for LlamaIndexGive LlamaIndex instant access to 10 tools to Check Timeghost Status, Get Timeghost Entry, Get Timeghost Project, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add timeghost 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 timeghost 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 timeghost. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in timeghost?"
)
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 timeghost MCP Server
Connect your timeghost account to any AI agent and take full control of your Microsoft 365 integrated time tracking and project orchestration through natural conversation.
LlamaIndex agents combine timeghost 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
- Timesheet Portfolio Orchestration — List all time entries, retrieve detailed high-fidelity status metadata, and monitor team productivity programmatically
- Project Intelligence Architecture — Query projects and budgets, retrieve detailed technical metadata, and access real-time project health metrics
- Task Pipeline Management — Access your complete directory of high-fidelity tasks, manage assignments, and stay on top of operational delivery directly through your agent
- Workspace Discovery — Access complete high-fidelity workspace profiles and organizational settings to understand and orchestrate your environment programmatically
- Contact & Team Monitoring — List team members and collaborators to maintain perfect contextual alignment for every time log and project assignment
- Operational Monitoring — Verify account-level API connectivity and monitor time log orchestration volume directly through your agent for perfectly coordinated service scaling
The timeghost 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 timeghost tools available for LlamaIndex
When LlamaIndex connects to timeghost through Vinkius, your AI agent gets direct access to every tool listed below — spanning time-tracking, project-management, microsoft-365, 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.
Check API Status
Get a specific time entry
Get details for a specific project
Get details for a specific task
List clients
Optionally filter by date range or specific user. List time entries
List workspace members
List projects
Filter by project ID to isolate specific technical pipelines. List tasks
List workspaces
Connect timeghost to LlamaIndex via MCP
Follow these steps to wire timeghost 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 timeghost MCP Server
LlamaIndex provides unique advantages when paired with timeghost through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine timeghost tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain timeghost tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query timeghost, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what timeghost tools were called, what data was returned, and how it influenced the final answer
timeghost + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the timeghost MCP Server delivers measurable value.
Hybrid search: combine timeghost real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query timeghost 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 timeghost for fresh data
Analytical workflows: chain timeghost queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for timeghost in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with timeghost immediately.
"List all active projects in my timeghost account."
"Show the last 5 time entries for task 'API Design'."
"Check the connectivity status for the 'Marketing' workspace."
Troubleshooting timeghost MCP Server with LlamaIndex
Common issues when connecting timeghost to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcptimeghost + LlamaIndex FAQ
Common questions about integrating timeghost MCP Server with LlamaIndex.