DocPull

Name: DocPull
Author: raintree-technology

by raintree-technologyversion 6.8.0i★ –iRuns on your computer

Registry nameio.github.raintree-technology/docpull

Install

Overview

Description from the maker (original English)

Sync public web sources into cited context packs for AI agents, RAG, and MCP clients.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "docpull": {
      "command": "uvx",
      "args": [
        "docpull"
      ]
    }
  }
}

Run this in your terminal

claude mcp add docpull -- uvx docpull

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "docpull": {
      "command": "uvx",
      "args": [
        "docpull"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "docpull": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "docpull"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

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 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account raintree-technology, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

More stars than 0% of the other 7233 servers in this category
Published to the registry more recently than 72% of the other 7233 servers in this category
Basic checks equal to or better than 100% of the other 7233 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is DocPull safe?

It passed 1 of 1 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.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (6.8.0) reached the registry 14 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated 3 days ago

Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago

Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated 44 days ago

Install

README from the maker

Open the README

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.

DocPull

Active open-source project · MIT License

DocPull turns changing public web sources into cited, reproducible context for AI agents and retrieval pipelines. Use it when your application needs to know which sources it used, whether they changed, and how to rebuild the same context later.

Install and sync your first source

pip install docpull

docpull init stripe-docs docpull add https://docs.stripe.com docpull sync docpull query "retry policy" --max-tokens 4000 docpull diff docpull export context-pack --target cursor

The project stores declared sources in docpull.yaml and resolved inputs in .docpull/context.lock.json. Later syncs produce a hash-based diff while preserving source URLs, content hashes, run IDs, citations, and export metadata.

docpull query retrieves deduplicated passages from locked archives with version filters, a response budget, and exact source spans. The same query is available through the Python SDK and MCP. See Query locked context for budget semantics and queries across projects.

No account or paid API is required for this path. Direct fetching, discovery, extraction, indexing, pack analysis, and diffs run locally.

Why use DocPull

Reproduce agent context. Stable IDs, hashes, manifests, and lockfiles show which source versions produced an answer or artifact.
Detect source drift. Sync and diff documentation, product pages, policies, feeds, repositories, packages, standards, and local documents.
Keep evidence inspectable. Markdown, NDJSON, SQLite, citations, and provenance sidecars remain readable without a hosted service.
Choose the downstream surface. Export context for agent clients, vector import, data workflows, or a versioned context-pack release.
Keep expensive routes explicit. Browser and cloud rendering require an explicit choice and can be blocked with a zero-dollar budget.

How it works

declared sources → local acquisition → versioned evidence → diff and validation → export

DocPull's v3 pack contract separates raw extraction, agent-ready context, and eval-grade evidence. Validate the level a downstream system requires:

docpull pack prepare packs/docs --eval-grade

docpull pack validate packs/docs --level eval docpull ci --prepare

docpull ci checks freshness, citation coverage, pack quality, rights metadata, and other configured gates. It writes context-ci.report.json and CONTEXT_CI.md, then exits non-zero when a hard gate fails.

Supported surfaces

Surface	Use it for	Start here
CLI	Fetch, sync, diff, validate, and export	`docs/cli-recipes.md`
Python SDK	Embed acquisition in Python applications	`docs/surface-contract.md`
MCP server	Give local agent clients source tools	MCP server
TypeScript SDK	Read local packs and invoke the CLI from Node or Bun	`sdk/js/README.md`
Agent plugin	Install the supported MCP workflow in an agent client	`plugin/README.md`

Common source shapes include static and server-rendered websites, OpenAPI documents, feeds, papers, public GitHub repositories, npm and PyPI packages, standards, datasets, transcripts, Wikimedia pages, product and policy pages, and local PDF or office files. See context-pack workflows for the complete surface.

MCP server

pip install 'docpull[mcp]'

docpull mcp

Claude Code can register the same local server:

claude mcp add --transport stdio docpull -- docpull mcp

The Python stdio server is the supported MCP server.

Limits and security boundary

DocPull is an evidence-acquisition engine, not a hosted competitive-intelligence product. It owns fetching, explicit rendering adapters, versioning, citations, hashing, validation, replay, and export. Downstream products own scheduling, human review, approved claims, legal conclusions, accounts, and notifications.

The default path does not handle complex interactive browser workflows, CAPTCHAs, stealth scraping, or private dashboards. JavaScript rendering is explicit. Authenticated sources require environment-variable references; DocPull does not persist credential values in project artifacts.

Security defaults include HTTPS-only fetching, robots.txt compliance, SSRF and DNS rebinding protections, redirect guards, XXE protection, and path-traversal checks. Read the web-source boundary, security posture, and evidence-engine decision before extending acquisition behavior.

Documentation and evidence

CLI recipes — Common commands and advanced workflows.
Context dependencies — Project and lockfile model.
Context Pack Contract v3 — Artifact levels and compatibility.
Public contracts — Schemas and versioning rules.
Alternatives — Browser automation and hosted extraction tradeoffs.
JavaScript SDK and loaders — TypeScript client and LangChain/LlamaIndex loaders.
Dependency security — Locked dependency sets and optional parser support.
Evaluation lab — Reproducible methods, results, and claim boundaries.
Changelog — Release history.

Raintree open-source system

DocPull owns evidence acquisition and reproducible agent context. It can be used independently; the sibling projects do not imply a required integration or shared release cycle.

Project	Responsibility
Raintree Standards	Defines governed requirements and evidence.
Trellis	Enforces shared JavaScript and TypeScript code policy.
HIG Doctor	Audits interface source and provides HIG guidance.
PolicyStrata	Tests cross-layer policy behavior.

See the Raintree open-source portfolio for current lifecycle and distribution links.

Raintree also builds BetterOff, which keeps a household's spending, investments, assets, debts, and net worth in one current record.

Project policies

Contributing · Code of Conduct · Security · Metrics and evidence limits · Source repository · MIT License

DocPull

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

DocPull

Install and sync your first source

Why use DocPull

How it works

Supported surfaces

MCP server

Limits and security boundary

Documentation and evidence

Raintree open-source system

Project policies