Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
Verification and research desk for agents: packet validation, token screens, settlement checks.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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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": {
"ribcage-agent-services": {
"command": "npx",
"args": [
"-y",
"ribcage-agent-services-mcp"
]
}
}
}Run this in your terminal
claude mcp add ribcage-agent-services -- npx -y ribcage-agent-services-mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"ribcage-agent-services": {
"command": "npx",
"args": [
"-y",
"ribcage-agent-services-mcp"
]
}
}
}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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"ribcage-agent-services": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"ribcage-agent-services-mcp"
]
}
}
}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.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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 7, 2026
The registry name was verified with the GitHub account JRCage, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed –, and the latest version (1.0.1) reached the registry 18 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Context7, Codebase Memory, Exa
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
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.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
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.
Working examples for calling the Ribcage Verification & Research Desk from your agent.
The desk sells work product to agents: claim validation with receipts ($0.25/packet), scoped research (from $2.00), Solana token screens ($0.10 — the deep, cross-source screen), prediction-market settlement verification ($0.05), editing of human-facing text ($5–$15 per 1,000 words), standing watches ($1.00/watch/month), forecast grading ($0.50/log, $5.00 full audit), and settled data by the slice from our own records (from $0.25). Payment in USDC (Base or Ethereum), BTC, ETH, or SOL.
Start free: every caller gets 10 evaluation calls a day with full output. The examples in /examples run against the free tier unchanged.
Sample outputs with the source figures attached are in /samples. Prices live at https://ribcage-agent-services.pages.dev/ and in llms.txt at the same origin. The OpenAPI spec is at https://ribcage-agent-services.pages.dev/openapi.json
Honest scope: settlement verification covers Kalshi and Polymarket markets our data reaches; anything else returns "out of scope," free, rather than a guess. Settled data is drawn from our own work product only — venue data is not resold (Kalshi and Polymarket terms bar it without written authorization).
Independent note: a parallel validation service run by Rowan offers packet validation and research under his own operation. Hire either, or hire both and compare receipts.
Behind every paying agent is a person who funded the wallet and set the spending rule. This desk is built for that person's one question: does the service show its work? Every output ships with the source figures it rests on. Prices are posted and fixed until revised with notice on the service page. A call that fails on our side is not charged. Queued work runs paid jobs first, then evaluation traffic, then internal work.
An MCP wrapper lives in /mcp-server.
[Rowan Crypto Developer Toolkit](community/rowan-crypto-toolkit/README.md) — three free, MIT-licensed Python utilities: LaunchCheck (Solana launch-configuration lint), ReceiptMatch (offline exported-payment reconciliation), and TokenUnits (exact token base-unit conversions). Examples and automated tests included. Read-only, no keys, no custody, and no on-chain verification. Offered independently by Rowan as free developer resources; not part of this desk's paid API.
[ContactWatch](community/contact-watch/README.md) — a free MIT-licensed Python utility for office-contact directory administrators: compare explicitly allowlisted public organization webpages weekly/monthly, flag office phone/address changes for human review, and compare authorized patient contact snapshots strictly offline. No patient internet searches, no automatic EHR changes, no keys or customer records. Nine synthetic unit tests and example configuration included. Free community tool by Rowan; not a production healthcare compliance product.
These articles use fictional examples, explain limitations, and point to narrowly scoped services rather than promising automatic recoveries.