Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
MCP server for generating rough-draft project plans from natural-language prompts.
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Passed 3/4 checks · Runs on your computer
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Connect by URL: the server address did not answer when we checked
No install path has passed yet. See the maker’s instructions or pick another server in this category · Maker’s install instructions · Others in this category
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Claude cannot connect PlanExe yet
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ChatGPT cannot connect PlanExe yet
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Connect over the internet in
GooseLM StudioMsty StudioCherry StudioVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast
The server did not answer when we last checked, so we could not read its tools.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 13, 2026
The registry name was verified with the GitHub account PlanExeOrg, which owns the repo
Code last changed 5 days ago
Uses MIT
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Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 3 of 4 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: X-API-Key
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed 5 days ago, and the latest version (1.0.0) reached the registry 9 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT on the web (full MCP on Business and above; Pro read-only).
In the same category: Context7, Codebase Memory, Ruflo
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Agent teams, swarms, memory and hooks for Claude Code and Codex, served over MCP.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
Planning complex projects should not require a consulting-firm budget.
[!IMPORTANT]
PlanExe v2 is here, and it is better than v1.
This repository is PlanExe v1. For new plans, use
Turn a complex project brief into an editable planning baseline in roughly 65–90 minutes.
PlanExe v2 | See example plans
Good ideas are not limited to people and organizations that can afford a large consulting engagement. Turning an ambitious idea into a coherent project, however, normally requires substantial time, specialist knowledge, stakeholder interviews, and repeated synthesis.
PlanExe is open-source software for people and AI agents that need to plan complex projects. Describe a project in plain language and PlanExe creates a structured first-pass plan: the assumptions to challenge, decisions to make, work to coordinate, risks to investigate, and questions that must be answered before execution.
The result is not a substitute for stakeholder participation or professional sign-off. It is a way to begin with a broad, inspectable planning baseline instead of a blank page.
PlanExe examines a project from several planning perspectives and combines the results into one self-contained interactive report. Depending on the project, the output commonly includes:
PlanExe v2 runs on your own machine and makes its model calls through the Claude Code CLI, using your Claude subscription.
PlanExe is intended for consulting-scale, multi-phase initiatives—not everyday task lists or small personal projects.
Examples of suitable work include:
The richer the brief—objective, location, constraints, stakeholders, resources, timeline, and success criteria—the more useful the resulting plan becomes.
PlanExe does not hide the planning process inside a chat transcript. Each run produces a folder of readable source artifacts alongside the final report.
If you find an assumption or early decision you disagree with, you can edit that artifact and continue the plan from there. PlanExe rebuilds the later work that depends on your change while preserving earlier work you already accept. This makes it possible to refine the reasoning behind a plan, not merely rewrite its final prose.
PlanExe creates a draft for investigation and refinement. Generated claims, budgets, dates, laws, engineering assumptions, and risk estimates may be wrong or incomplete. Important projects still require:
Use the report to expose assumptions, focus conversations, and accelerate planning—not as proof that a project is safe, feasible, funded, or approved.
PlanExe v2 is a small Python program that you clone and run yourself. There is no hosted service and no PlanExe account. Running it locally lets you:
PlanExe v2 sends your project brief and the intermediate planning material to Anthropic through the Claude Code CLI. Do not use it for material that must not leave systems you control.
Running PlanExe yourself does not remove your legal, ethical, security, or professional responsibilities.
For setup instructions, see the PlanExe v2 repository.