"PostHog: Open-source product analytics platform" matching MCP servers:

Provides a governed analytics layer over synthetic product data, exposing MCP tools for investigating product metrics, slicing by dimensions, and comparing periods while preventing unrestricted SQL access.

A Model Context Protocol server that enables Claude Desktop users to interact directly with PostHog, allowing them to view projects and create annotations through natural language commands.

Enables interaction with PostHog analytics platform, allowing users to list projects, create annotations, and search insights through natural language in Claude Desktop.

Enables interaction with PostHog's product analytics platform through natural language, allowing users to manage feature flags, view errors, and access other platform features.

Enables interaction with PostHog product analytics API, supporting project listing, event queries, insight analysis, feature flag management, and annotation creation.

An MCP server that enables AI clients to autonomously discover, analyze, fix, test, submit, and track open-source contributions on GitHub through specialized tools.

Enables AI agents to query PostHog analytics data directly via tool calls, including insights, events, feature flags, trends, and persons.

Exposes open automation platform capabilities to AI agents with tools for managing job templates, inventories, collections, EDA activations, audit events, and policy checks, governed by gateway auth, RBAC, and policy enforcement.

Enables MCP clients to run eight data tools over stdio for product search, ad transparency, company intent, job/ATS lookup, keyword volume, domain SEO, and YouTube transcripts, returning JSON envelopes with item limits, truncation metadata, and structured errors.

Enables querying PostHog analytics data by fetching recent events, searching user profiles, and listing saved insights over MCP.

Enables interaction with Posthog through a standardized MCP interface, providing access to Posthog's tools and services for analytics and product management.

MCP server that serves PostHog JavaScript SDK documentation to coding agents via efficient retrieval, offering tools to query and assemble cited context for tasks like capturing custom events.

Enables AI assistants to interact with the Open Targets Platform API to search and retrieve comprehensive data about target-disease associations, drugs, genes, and drug discovery information through GraphQL queries.

Connects AI assistants to PostHog to query events, persons, insights, dashboards, feature flags, cohorts, and experiments through the Model Context Protocol.

Enables querying PostHog with HogQL, retrieving event and property definitions, session replays, and project lists, plus optional REST API access with safeguards against accidental writes and API key leakage.

Enables researching, verifying, comparing, and composing open-source AI projects with transparent evidence and uncertainty boundaries through read-only tools.

Enables an AI agent to reverse-engineer a compiled program with Ghidra — inspecting decompiled code, instructions, callers, memory bytes, and strings — without any source code. Every reply is labelled as fact, computed, or guess, and each claim traces back to hash-checked saved evidence.

A read-only MCP server that lets Claude read PostHog feature-flag state and metadata, enabling listing flags, checking staleness, and evaluating flags for a person.

Provides a memory server for coding agents over MCP, capturing and retrieving the meaning and rationale behind code decisions down to the function level. It enables agents to search product memory, get task context, and propose new memories to avoid re-deriving or re-breaking past decisions.

Enables managing software delivery from intake through stabilization via an evidence-gated hierarchical state machine, with tools for transitions, work items, blocking, resuming, and status rendering.