How to Use the WakaTime (Coding Stats) MCP in LlamaIndex

Q: How does WakaTime (Coding Stats) help with LlamaIndex's RAG applications?

LlamaIndex takes the MCP tool output—like listdurations blocks or external time logs—and turns it into searchable knowledge. Instead of just getting a number, you get context about that number.

Q: What data can LlamaIndex use from WakaTime (Coding Stats)?

You can index commit lists (listcommits), project definitions (listprojects), and goal progress (listgoals). All this historical coding data becomes part of your unified, queryable knowledge base.

Q: How do I best use WakaTime (Coding Stats) with LlamaIndex?

Run a tool like getstats to get the raw metrics. Then, ensure you include those results in your index alongside any relevant documentation or notes for deep context retrieval.

Q: Does WakaTime (Coding Stats) support comprehensive data logging with LlamaIndex?

Yes. You can use createexternalduration to log activity from other apps, and index that alongside your core IDE stats for a complete picture of effort.

Build knowledge bases of code stats using LlamaIndex and WakaTime (Coding Stats).

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Connect WakaTime (Coding Stats) MCP to LlamaIndex

Create your Vinkius account to connect WakaTime (Coding Stats) to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup WakaTime (Coding Stats) with LlamaIndex

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Creating a Knowledge Index with MCP Server

Don't just run queries; index them. You can use `list_summaries` to get daily totals of coding activity, and then feed those structured results into your vector store. Your agent can later query this historical data semantically.

Retrieving Project Details with LlamaIndex

Need context on past work? Run `list_projects` to gather all detected projects, and index that list alongside commit details from `list_commits`. This lets your RAG application answer questions like, 'How much time did I spend in the authentication module last quarter?'

Managing Coding Rules

The `list_custom_rules` tool pulls configuration data on how coding activity is processed. By indexing these rules alongside goals from `get_goal`, your LlamaIndex app can explain *why* certain time metrics might look unusual.

Setup guide

Set up WakaTime (Coding Stats) MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all WakaTime (Coding Stats) MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to WakaTime (Coding Stats) tools.",
)
response = await agent.run("List recent WakaTime (Coding Stats) data")

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Common questions about WakaTime (Coding Stats) MCP in LlamaIndex

LlamaIndex takes the MCP tool output—like `list_durations` blocks or external time logs—and turns it into searchable knowledge. Instead of just getting a number, you get context about that number.

You can index commit lists (`list_commits`), project definitions (`list_projects`), and goal progress (`list_goals`). All this historical coding data becomes part of your unified, queryable knowledge base.

Run a tool like `get_stats` to get the raw metrics. Then, ensure you include those results in your index alongside any relevant documentation or notes for deep context retrieval.

Yes. You can use `create_external_duration` to log activity from other apps, and index that alongside your core IDE stats for a complete picture of effort.

This server deals with time duration logs, project names, goal definitions, commit records, and raw coding activity pings.

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