Examples of using Pipedream's MCP server in your app or AI agent.
{
"mcpServers": {
"mcp-chat": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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Examples of using Pipedream's MCP server in your app or AI agent.
Is it safe?
No package registry to scan.
No authentication — any process on your machine can connect.
License not specified.
Is it maintained?
Last commit 71 days ago. 180 stars.
Will it work with my client?
Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
No automated test available for this server. Check the GitHub README for setup instructions.
No known vulnerabilities.
This server is missing a description. Tools and install config are also missing.If you've used it, help the community.
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Dynamic problem-solving through sequential thought chains
A Model Context Protocol server for searching and analyzing arXiv papers
An open-source AI agent that brings the power of Gemini directly into your terminal.
The official Python SDK for Model Context Protocol servers and clients
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MCP Chat is a free, open-source chat app built using the AI SDK, and Pipedream MCP, which provides access to nearly 3,000 APIs and more than 10,000 tools. Use this as a reference to build powerful AI chat applications.
Features · Model Providers · Prerequisites · Deploy Your Own · Running Locally
Check out the app in production at chat.pipedream.com and refer to Pipedream's developer docs for the most up to date information.
The demo app currently uses models from Anthropic, OpenAI, and Gemini, but the AI SDK supports many more.
To run or deploy this app, you'll need:
One-click deploy this app to Vercel:
cp .env.example .env # Edit with your values
Note that for easier development, chat persistence and application sign-in are disabled by default in the .env.example file:
# In your .env file
DISABLE_AUTH=true
DISABLE_PERSISTENCE=true
We recommend using asdf to manage core deps like Node. Install it and run
asdf install
Then:
pnpm install
pnpm dev
Your local app should now be running on http://localhost:3000 🎉
docker compose up -d
POSTGRES_URL=postgresql://postgres@localhost:5432/postgres pnpm db:migrate