# PostHog MCP Server

> PostHog MCP Server is an officially published MCP server from PostHog. Anomity scores its risk at 20 out of 100 (low).

- **Canonical URL:** https://catalog.anomity.ai/mcp/posthog-mcp-server
- **Kind:** MCP server
- **Publisher:** PostHog
- **Trust level:** official
- **Risk score:** 20/100 (low)
- **Website:** https://posthog.com/docs/model-context-protocol
- **Documentation:** https://posthog.com/docs/model-context-protocol
- **Last updated:** 2026-09-02
- **JSON:** https://catalog.anomity.ai/api/entries/mcp/posthog-mcp-server

## Description

PostHog's official server exposes product analytics — events, insights, feature flags, and session data — so an agent can answer questions about user behaviour or adjust a flag from a conversation.

Declared capabilities are outbound network access and credential access. Two distinct exposures: analytics events frequently carry user identifiers and properties that amount to personal data, and feature-flag writes are a production control surface — an agent that can toggle a flag can change what your users see. Separate the read token used for analysis from any token that can mutate flags.

## Why it scored 20

The score starts at the catalog's neutral base of 50 and moves only through the signals below. The formula is published at https://catalog.anomity.ai/about — there is no model and no hidden heuristic.

| Signal | Contribution | Severity | Evidence |
| --- | --- | --- | --- |
| Published by the vendor | -40 | trust offset |  |
| 1 high-risk capability: credentials:access | +10 | high |  |

Clamped result: **20/100**, band **low**.

## Capabilities

| Capability | Name | Security implication |
| --- | --- | --- |
| `network:outbound` | Outbound network | Can make outbound network requests. Required for hosted model providers and remote APIs; also the path for data exfiltration if combined with read access. |
| `credentials:access` | Credentials access | Reads provider API keys, OAuth tokens, or other secrets from the host keychain or environment. |

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Source: Anomity Catalog (https://catalog.anomity.ai/). Scoring methodology: https://catalog.anomity.ai/about. Machine-readable index: https://catalog.anomity.ai/llms.txt · https://catalog.anomity.ai/openapi.json