WakaTime (Coding Stats) MCP Server for LlamaIndexGive LlamaIndex instant access to 14 tools to Create External Duration, Create Heartbeat, Get All Time Since Today, and more
GDPR Free for SubscribersLlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add WakaTime (Coding Stats) 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 MCP Server for LlamaIndex
The WakaTime (Coding Stats) MCP Server for LlamaIndex is a standout in the Productivity category — giving your AI agent 14 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport 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 WakaTime (Coding Stats). "
"You have 14 tools available."
),
)
response = await agent.run(
"What tools are available in WakaTime (Coding Stats)?"
)
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 WakaTime (Coding Stats) MCP Server
Connect your WakaTime account to any AI agent to analyze your coding habits, track project progress, and monitor productivity goals through natural conversation.
LlamaIndex agents combine WakaTime (Coding Stats) tool responses with indexed documents for comprehensive, grounded answers. Connect 14 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
- Coding Statistics — Get summarized stats for specific ranges (7 days, 30 days, etc.) or your all-time total coding time.
- Project Tracking — List all projects detected by your IDE plugins and see daily summaries of activity per project.
- Goal Monitoring — Check your progress on custom coding goals and retrieve specific details for individual targets.
- Activity Analysis — Inspect raw heartbeats and duration blocks to understand exactly when and how you are working.
The WakaTime (Coding Stats) MCP Server exposes 14 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 14 WakaTime (Coding Stats) tools available for LlamaIndex
When LlamaIndex connects to WakaTime (Coding Stats) through Vinkius, your AI agent gets direct access to every tool listed below — spanning coding-stats, time-tracking, developer-productivity, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Create external duration on WakaTime (Coding Stats)
Create activity from an external app
Create heartbeat on WakaTime (Coding Stats)
Create a raw coding activity ping
Get all time since today on WakaTime (Coding Stats)
Get total time logged since account creation
Get goal on WakaTime (Coding Stats)
Get a specific user-defined coding goal
Get stats on WakaTime (Coding Stats)
Get summarized coding statistics for a given range
List commits on WakaTime (Coding Stats)
List of commits for a project with time spent on each
List custom rules on WakaTime (Coding Stats)
Get rules to modify or delete coding activity based on patterns
List durations on WakaTime (Coding Stats)
Get coding activity joined into blocks based on keystroke timeout
List external durations on WakaTime (Coding Stats)
g., Google Calendar). Get activity created from external apps
List goals on WakaTime (Coding Stats)
List user-defined coding goals and their progress
List heartbeats on WakaTime (Coding Stats)
Get raw coding activity pings from IDE plugins
List projects on WakaTime (Coding Stats)
List of projects detected for the user
List summaries on WakaTime (Coding Stats)
Get daily totals of coding activity
Update custom rules on WakaTime (Coding Stats)
Update rules to modify or delete coding activity
Connect WakaTime (Coding Stats) to LlamaIndex via MCP
Follow these steps to wire WakaTime (Coding Stats) into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind 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 WakaTime (Coding Stats) MCP Server
LlamaIndex provides unique advantages when paired with WakaTime (Coding Stats) through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine WakaTime (Coding Stats) tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain WakaTime (Coding Stats) tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query WakaTime (Coding Stats), a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what WakaTime (Coding Stats) tools were called, what data was returned, and how it influenced the final answer
WakaTime (Coding Stats) + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the WakaTime (Coding Stats) MCP Server delivers measurable value.
Hybrid search: combine WakaTime (Coding Stats) real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query WakaTime (Coding Stats) 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 WakaTime (Coding Stats) for fresh data
Analytical workflows: chain WakaTime (Coding Stats) queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for WakaTime (Coding Stats) in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with WakaTime (Coding Stats) immediately.
"Show me my coding stats for the last 7 days."
"What are my current coding goals and how am I doing?"
"Give me a summary of my coding activity for yesterday."
Troubleshooting WakaTime (Coding Stats) MCP Server with LlamaIndex
Common issues when connecting WakaTime (Coding Stats) to LlamaIndex through Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpWakaTime (Coding Stats) + LlamaIndex FAQ
Common questions about integrating WakaTime (Coding Stats) MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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