bubble-agent-mcp
This server provides AI assistants access to real-time and historical internet conversation trends ('Bubbles') to identify, analyze, compare, and create content from emerging topics gaining momentum. You can:
Discover high-priority Bubbles with
get_bubbles– retrieve trending conversations filtered by category, timeframe (6h, 24h, 7d), and minimum score, returning up to 20 results.Search for specific topics with
search_bubbles– find Bubbles by keyword, company, product, or industry, with optional platform and timeframe filters (up to 30 days).Get detailed insights with
get_bubble_details– see why a Bubble is growing, including its timeline, pain points, opportunities, and verified sources.Compare opportunities with
compare_bubbles– rank 2–5 Bubbles against a goal (content, product idea, launch, distribution) and get a recommendation.Generate content drafts with
generate_content– create evidence-based drafts in multiple formats (X/Twitter, LinkedIn, Reddit, newsletter, Product Hunt comment) with customizable tone and goal, without auto-publishing.Access workspace context via the resource
bubble://workspace/profilefor personalized results based on company and audience data.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@bubble-agent-mcpWhat are today's strongest AI infrastructure Bubbles?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Bubble Agent MCP
Find the conversations gaining momentum before everyone else.
An open-source Model Context Protocol server that brings live Bubble Agent intelligence into Claude, Codex, Cursor, and every MCP-compatible client.
Website · Install with AI · Quick start · Tools · Security · Contributing
What is a Bubble?
A Bubble is a group of independent internet conversations converging around the same emerging topic. Bubble Agent collects public signals, removes noise, groups related discussions, scores momentum, and preserves the sources behind every result.
This MCP server lets your AI client ask questions such as:
“What are today’s strongest AI infrastructure Bubbles?”
“Why is this conversation growing?”
“Compare these opportunities for a launch.”
“Turn this Bubble into an evidence-based X thread.”
Related MCP server: contextium-mcp-server
Tools
Tool | What it does | Safety |
| Returns the highest-priority Bubbles right now | Read only |
| Searches current and historical conversations | Read only |
| Explains momentum, pain points, timeline, and sources | Read only |
| Ranks 2–5 Bubbles for a goal | Read only |
| Creates a grounded draft from a Bubble | Draft only; never publishes |
It also exposes bubble://workspace/profile, a non-sensitive MCP resource containing the company and audience context used for personalization.
Quick start
No-code installation
Download the instruction file for Claude, Codex, Cursor, or another AI agent, attach it to your agent, and say: “Install Bubble Agent MCP for me and verify it works.” The agent will handle the configuration and ask only for your Bubble Agent credentials.
Requirements
Node.js 20 or newer
A Subio account
A project ID and personal API key from subio.space/settings/api-keys
Sign in at subio.space/settings/api-keys, create a key, and copy both values. The API key is shown only once. Never commit it to a repository or paste it into a prompt.
If you run npx -y bubble-agent-mcp without credentials in an interactive terminal, the command opens the secure Subio sign-in page. Create the credentials, add them to your MCP client configuration, and run the command again.
Claude Desktop
Open Claude Desktop settings, choose Developer → Edit Config, and add:
{
"mcpServers": {
"bubble-agent": {
"command": "npx",
"args": ["-y", "bubble-agent-mcp"],
"env": {
"BUBBLE_AGENT_API_KEY": "your_personal_api_key",
"BUBBLE_AGENT_PROJECT_ID": "your_project_id"
}
}
}
}Restart Claude Desktop after saving.
Claude Code
Copy examples/claude-code.mcp.json to .mcp.json in your project, replace the placeholders, then start Claude Code.
Codex
codex mcp add bubble-agent \
--env BUBBLE_AGENT_API_KEY=your_personal_api_key \
--env BUBBLE_AGENT_PROJECT_ID=your_project_id \
-- npx -y bubble-agent-mcpOr copy the TOML from examples/codex.config.toml into ~/.codex/config.toml.
Cursor
Copy examples/cursor.mcp.json to .cursor/mcp.json in your project and replace the placeholders.
Any MCP client
Use the standard stdio transport:
command: npx
args: -y bubble-agent-mcpSet BUBBLE_AGENT_API_KEY and BUBBLE_AGENT_PROJECT_ID in the server environment.
Verify the connection
Run the built-in doctor before configuring your client:
BUBBLE_AGENT_API_KEY=your_personal_api_key \
BUBBLE_AGENT_PROJECT_ID=your_project_id \
npx -y bubble-agent-mcp doctorArchitecture
Claude / Codex / Cursor / MCP client
│
│ stdio
▼
Bubble Agent MCP server
│
│ HTTPS + project-scoped API key
▼
Hosted Bubble Agent API
├─ collection and deduplication
├─ clustering and momentum scoring
├─ verified source retrieval
└─ evidence-based content draftsThe open-source package is intentionally thin. It does not contain scraper credentials, database access, private scoring prompts, or provider secrets.
Security
Credentials are read from the MCP process environment, never from tool arguments.
API keys are sent only to the configured Bubble Agent API over HTTPS.
Non-HTTPS remote API URLs are rejected.
The package has no telemetry and does not persist conversation data.
Errors never include the API key.
Generated content remains a draft and is never auto-published.
Keys are project-scoped and can be revoked independently.
Read the full policy in SECURITY.md.
Local development
git clone https://github.com/alijancb/bubble-agent-mcp.git
cd bubble-agent-mcp
pnpm install
cp .env.example .env
pnpm checkRun locally:
BUBBLE_AGENT_API_KEY=your_personal_api_key \
BUBBLE_AGENT_PROJECT_ID=your_project_id \
pnpm devProject principles
Evidence before summaries.
Read-only by default.
No publishing without explicit user action.
No provider secrets in the open-source client.
Stable tools that work across MCP clients.
License
MIT © 2026 Subio.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Servers
- AlicenseAqualityDmaintenanceAn MCP server that gives any agent real-time news plus the contextual intelligence to use it well — tone distribution, emerging stories, narrative shifts, spike alerts, and tone-over-time charts — powered by Overtone's publisher network. Works with any MCP-compatible client: Claude Desktop, Claude Code, Cursor, Windsurf, Codex, Kimi K2, and more.71MIT
- AlicenseBqualityCmaintenanceMCP server for Contextium — pipe team SOPs, coding standards, agents, skills, and workflows directly into Claude, Cursor, and other AI coding assistants.67MIT
- AlicenseCqualityCmaintenanceMCP server to connect Claude Code, Codex, or Cursor to the Lightbulb Partners Agents platform, enabling domain agents, code workspaces, connectors, and more.100Apache 2.0
- AlicenseNot gradedqualityBmaintenanceMCP server for SentientUI that gives AI agents in Claude Code, Cursor, and Copilot direct access to experiment data and management actions.143MIT
Related MCP Connectors
Real-time chat hub for AI agents — Claude Code, Cursor, Cline, Codex over MCP or REST.
Agentic Reddit/HN buying-signal detection for Claude Code, Cursor, and Windsurf via MCP.
AI Reasoning Cache & Consensus Layer with 11 MCP tools via Streamable HTTP.
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/alijancb/bubble-agent-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server