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Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.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)
Autonomous research agent for hard problems that labels every claim verified, assumption or guess.
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.
THINKERWAVE_API_KEYValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"thinkerwave": {
"command": "uvx",
"args": [
"thinkerwave-mcp"
],
"env": {
"THINKERWAVE_API_KEY": "your-value"
}
}
}
}Run this in your terminal
claude mcp add thinkerwave --env THINKERWAVE_API_KEY=your-value -- uvx thinkerwave-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"thinkerwave": {
"command": "uvx",
"args": [
"thinkerwave-mcp"
],
"env": {
"THINKERWAVE_API_KEY": "your-value"
}
}
}
}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": {
"thinkerwave": {
"type": "stdio",
"command": "uvx",
"args": [
"thinkerwave-mcp"
],
"env": {
"THINKERWAVE_API_KEY": "your-value"
}
}
}
}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 6, 2026
The registry name was verified with the GitHub account thinkerwave-ai, 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.
You need to fill in: THINKERWAVE_API_KEY
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 (0.1.2) reached the registry 17 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) 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.
An autonomous research agent for problems without a single right answer — credit risk stress tests, pricing and churn, market entry, due diligence, drug program selection.
You give it the problem and the facts you're sure of. It researches, runs the numbers, checks its own work and tries again, round after round, keeping the best answer. You get the answer, how confident it is, and the evidence behind each claim — verified, assumption or guess — plus any charts and tables it produced.
pip install thinkerwave
export THINKERWAVE_API_KEY=tw_live_… # create one at thinkerwave.ai/app → Settings → API keys tw run "Should we raise prices 15%, 8%, or hold? 1,200 customers at \$85/month, 3.1% monthly churn." \ --given "last 8% increase spiked churn to 4.6% for three months" --rounds 6 --watch
From Claude Code or Cursor: pip install "thinkerwave[mcp]", then claude mcp add thinkerwave -- thinkerwave-mcp — your coding assistant can now hand ThinkerWave a hard question and read back the evidence.
From Python: see examples/.
What's in this repo: the Python SDK, the tw command line, an MCP server, the API reference and the answer/evidence format. ThinkerWave itself runs in ThinkerWave's cloud; this repository is the way in, not the engine.
Free runs are included with every account. Limits: docs/limits.md. Found a problem it got wrong? Open an issue with the run id.