"Telegram MCP Server by DLHellMe" matching MCP servers:

An MCP server for accelerator programs to query, review, and manage startup applications via natural language. It enables searching applications by sector or impact score, fetching full application details with reviewer notes, listing pending reviews, and flagging applications for panel discussion.

Lets an AI agent read a Pyxis dashboard's analytics — overviews, funnels, devices, acquisition, backend requests, visits and project settings — using a read-only access token created by an admin and revocable at any time. It runs locally over stdio, holds no state, and exposes only GET-style reads of the live Pyxis API.

Lets AI assistants query a live feedback collection database in plain language, retrieving entry counts broken down by type and classification status, and listing individual submissions filtered by type, urgency, or sentiment. Access is read-only and privacy-preserving, so answers can be produced without exposing submitter email addresses.

Prevents premature AI coding by transforming vague product ideas into structured specifications, architecture decisions, and acceptance criteria through a series of interrogation and compilation tools.

Prioritizes tasks by eliminating distractions, returning a ranked shortlist based on a given goal.

Enables customer feedback management by integrating with Canny.io, supporting board listing, post retrieval, search, and creation.

Automates Cole Medin's context engineering methodology to generate high-quality Product Requirements Prompts (PRPs) by analyzing existing codebases, asking contextual questions, and synthesizing insights.

Model Context Protocol server that enables AI assistants to query and analyze project feedback and bug reports from FeedbackBasket projects, with filtering by category, status, sentiment, and search capabilities.

Captures and organizes requirements as markdown, tracks relationships between personas, requirements, use cases, and user stories.

Enables coordinating multiple AI coding sessions by tracking features, decisions, and approval gates in a per-project Postgres database, with atomic IDs and commit-stamped append-only history.

Enables goal-driven plan simplification by tracing each step's necessity, detecting cycles, broken links, and transitive waste, and classifying items as required or pointless with review and recheck capabilities.

TruePPM MCP servers ask real questions of your self-hosted TruePPM instance: the critical path, a Monte Carlo slip forecast, sprint status, the risk register, My Work. Answers are computed server-side by the same CPM/Monte Carlo engine the web UI uses, never guessed by a model, and nothing leaves your box.

Product management copilot that connects Claude to HelpScout support tickets and ProductLift feature requests. Synthesizes customer feedback across sources, scores themes by convergence, and generates prioritized product plans.

An MCP server that exposes Google Play Console analytics to AI agents, including store-listing acquisitions by traffic source, installs, uninstalls, ratings, crashes, subscriptions, and reviews by reading bulk CSV reports from Cloud Storage.

Enables querying and managing PostHog projects, insights, feature flags, and experiments through MCP tools backed by the PostHog REST API.

This MCP server assists founders in customer discovery by structuring hypotheses, finding interviewees, generating call guides, and synthesizing insights to achieve product-market fit.

Enables read-only Jira Data Center insights by default, with opt-in audited write tools, sprint and release health summaries, and structured issue search via MCP.

Transforms raw business ideas into complete product strategies by orchestrating a specialized AI team for market research, competitive analysis, persona building, and financial modeling, culminating in a pitch-ready presentation.

Enables ChatGPT to initiate a visible, evidence-backed UI/UX audit by returning an exact workspace URL through a read-only start_audit endpoint, where page-scoped Site Tools can measure and judge the target without claiming capture.

Enables Applied AI Product Managers to scope financial-services and retail-banking AI engagements by searching proven use-case patterns, estimating ROI, flagging regulatory compliance considerations, and turning workshop notes into structured problem statements.

A single source of truth for a product's state, roadmap, and deferred work, read and written equally by you and your AI agent via web dashboard and MCP.

Remote MCP server that lets AI assistants read tracked competitive intelligence — competitor news, reviews, website changes, social posts and ads — and act on it by managing projects, competitors, battle cards, reports and canvases. Every answer carries a source and a date, and write actions only publish when explicitly shared.

An MCP server that turns your AI assistant into a structured ideation partner by generating, scoring, critiquing, and storing software ideas locally with a built-in web dashboard.

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

Enables AI agents to vet and rank product name candidates in batch by checking domain availability, App Store and Google Play collisions, exact-phrase web results, GitHub handles and repos, and trademark register lookups.

Enables agents and developers to manage product feedback boards — creating and editing boards, posts, votes and comments, working an atomically-claimed agent queue with evidence and proposed status changes, and reading changelogs and analytics — by forwarding tool calls to FeatureJet's hosted MCP endpoint.

Feedback Analyzer AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Enables you to rehearse how a crowd would react to a pricing, launch, or policy change before shipping, by simulating persona reactions inside your existing coding agent and ranking the strongest objections by blast radius. Every claim in the resulting report traces back to the simulated post behind it, with deterministic replay and no API keys or network calls.

Enables users to generate and publish AI surveys, retrieve collected responses, and produce analysis reports with executive summaries, key metrics, and per-question insights by forwarding tool calls to a hosted survey backend.

Enables Claude to read and write product requirement documents section by section via 33 MCP tools, drastically reducing token consumption by loading only relevant sections and summaries instead of the full document.