1. Conduid
  2. Communication
  3. Chat
MCP server · Communication

Chat

Examples of using Pipedream's MCP server in your app or AI agent.

Unclaimed NOASSERTION mcpcommsdevelopmentaitools
74Good

Scored 22 hours ago · breakdown

About Chat

Chat is an MCP server published by PipedreamHQ in the Communication category: examples of using Pipedream's MCP server in your app or AI agent.

The repository has 192 stars and 56 forks, with the last commit 5 months ago. Recent commit activity is the strongest signal that reported issues will get attention.

Install

From source
git clone https://github.com/PipedreamHQ/mcp-chat

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Ask AI

✦

Ask AI about Chat

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I know everything about Chat. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

Static checks derived from the repository 2 hours ago. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
  • ✓Dependencies pinnedA lockfile pins dependency versions.
  • ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

README

Check out the app in production at chat.pipedream.com and refer to Pipedream's developer docs for the most up to date information.

Features

  • MCP integrations: Connect to thousands of APIs through Pipedream's MCP server with built-in auth
  • Automatic tool discovery: Execute tool calls across different APIs via chat
  • Uses the AI SDK: Unified API for generating text, structured objects, and tool calls with LLMs
  • Flexible LLM and framework support: Works with any LLM provider or framework
  • Data persistence: Uses Neon Serverless Postgres for saving chat history and user data and Auth.js for simple and secure sign-in

Model Providers

The demo app currently uses models from Anthropic, OpenAI, and Gemini, but the AI SDK supports many more.

Prerequisites

To run or deploy this app, you'll need:

  1. A Pipedream account
  2. A Pipedream project. Accounts connected via MCP will be stored here.
  3. Pipedream OAuth credentials
  4. An OpenAI API key

Deploy Your Own

One-click deploy this app to Vercel:

Deploy with Vercel

Running locally

  1. Copy the environment file and add your credentials:
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
  1. Install dependencies and start the app:

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 🎉

Enabling chat persistence

  1. Run all required local services:
docker compose up -d
  1. Run migrations:
POSTGRES_URL=postgresql://postgres@localhost:5432/postgres pnpm db:migrate

README fetched from the repository 2 hours ago. The original is authoritative.

Questions

About Chat

How do I install Chat?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Chat safe to use with an AI agent?

Its trust score is 74 out of 100 (good). It passes 4 of the 6 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Chat still maintained?

Yes — the last commit was 5 months ago. The repository has 192 stars and 56 forks and 8 open issues.