PostHog Alternative MCP Server for LlamaIndex 13 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add PostHog Alternative as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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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 PostHog Alternative. "
"You have 13 tools available."
),
)
response = await agent.run(
"What tools are available in PostHog Alternative?"
)
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 PostHog Alternative MCP Server
Connect your PostHog account to any AI agent and gain full control over your product analytics, feature flags and user cohorts through natural conversation.
LlamaIndex agents combine PostHog Alternative tool responses with indexed documents for comprehensive, grounded answers. Connect 13 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
- User & Project Discovery — Verify your account access and list all analytics projects
- Feature Flag Management — List, create, update and delete feature flags with rollout configuration
- Cohort Inspection — Review all behavioral cohorts and their filter definitions
- Person Analytics — Look up individual users by distinct ID, view their properties and activity timeline
- Event Tracking — Browse recent events, filter by event type and inspect event properties
- Timeline Annotations — Create and review annotations that correlate metric changes with deployments or launches
The PostHog Alternative MCP Server exposes 13 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.
How to Connect PostHog Alternative to LlamaIndex via MCP
Follow these steps to integrate the PostHog Alternative MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 13 tools from PostHog Alternative
Why Use LlamaIndex with the PostHog Alternative MCP Server
LlamaIndex provides unique advantages when paired with PostHog Alternative through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine PostHog Alternative tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain PostHog Alternative tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query PostHog Alternative, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what PostHog Alternative tools were called, what data was returned, and how it influenced the final answer
PostHog Alternative + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the PostHog Alternative MCP Server delivers measurable value.
Hybrid search: combine PostHog Alternative real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query PostHog Alternative 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 PostHog Alternative for fresh data
Analytical workflows: chain PostHog Alternative queries with LlamaIndex's data connectors to build multi-source analytical reports
PostHog Alternative MCP Tools for LlamaIndex (13)
These 13 tools become available when you connect PostHog Alternative to LlamaIndex via MCP:
create_annotation
Annotations appear on insights graphs and help correlate metric changes with deployments, launches or incidents. Requires the content text. Optionally set a date_marker (ISO 8601 date). Create a new annotation in PostHog
create_feature_flag
Requires the flag key (unique identifier). Optionally set the name, description, enabled status, rollout percentage and filters. The key must be unique across all flags in the project. Create a new PostHog feature flag
delete_feature_flag
All targeting conditions, release conditions and experiment data associated with the flag will be deleted. Provide the numeric flag ID. WARNING: this action is irreversible. Delete a PostHog feature flag
get_feature_flag
Provide the numeric flag ID from list_feature_flags. Get details for a specific PostHog feature flag
get_person
Provide the distinct_id used to identify the person. Get details for a specific person in PostHog
get_user
Returns user ID, email, name, organization membership and permissions. Use this to verify your API key is working and check your access level. Get the current PostHog user details
list_annotations
Annotations are markers on timeline graphs that highlight important events like deployments, feature launches or incidents. Returns annotation ID, content, date marker and whether it is pinned. List annotations in PostHog
list_cohorts
Each cohort is a dynamic group of users defined by event-based or property-based filters. Returns cohort ID, name, description, whether it is calculated or static. List behavioral cohorts in PostHog
list_events
Optionally filter by event name (e.g. "pageview", "signup", "purchase") and set a limit. Each event includes the event name, timestamp, person distinct ID and properties. List events tracked in PostHog
list_feature_flags
Each flag has a key, name, enabled status, rollout percentage, filters and release conditions. Returns flag ID, key, name, whether it is active, and the targeting configuration. Use this to audit feature flag coverage. List all feature flags in PostHog
list_persons
Each person has distinct IDs, properties, creation date and last event timestamp. Optionally set limit (default 20) and offset for pagination. List persons (users) tracked in PostHog
list_projects
Each project is an analytics workspace with its own events, persons, feature flags and cohorts. Returns project ID, name, organization and creation date. List PostHog projects
update_feature_flag
Provide the flag ID and any fields to change: name, description, enabled status. Only the fields you provide will be updated. Update an existing PostHog feature flag
Example Prompts for PostHog Alternative in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with PostHog Alternative immediately.
"Show me all feature flags and which ones are enabled."
"Create an annotation for today's deployment of version 3.2.0."
"Show me the profile of user 'user_12345'."
Troubleshooting PostHog Alternative MCP Server with LlamaIndex
Common issues when connecting PostHog Alternative to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpPostHog Alternative + LlamaIndex FAQ
Common questions about integrating PostHog Alternative 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?
Connect PostHog Alternative with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect PostHog Alternative to LlamaIndex
Get your token, paste the configuration, and start using 13 tools in under 2 minutes. No API key management needed.