About Aim
Aim is a hosted market-intelligence service that monitors news, podcasts, social, competitor, and regulatory sources for AI agents. It is for teams researching markets and tracking topics, with tools to inspect both emerging signals and their source documents.
Key features
- 01Research markets, competitors, and topics
- 02View recent signals for monitored topics
- 03List monitoring projects
- 04Retrieve source documents behind clusters
Use cases
- 01Research a market or competitor using curated sources
- 02Review new developments in monitored topics
- 03Check which projects are being monitored
- 04Inspect documents behind a market signal
MCP support
Aim exposes a hosted remote MCP server over Streamable HTTP, with OAuth authentication. MCP clients can use tools for market research, updates, projects, source documents, and service information.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://mcp.startaiming.com/mcpclaude mcp add --transport http aim https://mcp.startaiming.com/mcp{"mcpServers":{"aim":{"type":"http","url":"https://mcp.startaiming.com/mcp"}}}Open in Cursor{"servers":{"aim":{"type":"http","url":"https://mcp.startaiming.com/mcp"}}}Open in VS Code{"mcpServers":{"aim":{"type":"http","url":"https://mcp.startaiming.com/mcp"}}}{"mcpServers":{"aim":{"serverUrl":"https://mcp.startaiming.com/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project READMEAim MCP Server
Market knowledge layer for AI agents. From the noise, the signal.
Aim gives your AI agents a market knowledge layer: it monitors millions of sources (news, podcasts, social, competitor and regulatory data, much of it unavailable to general tools) and surfaces the signal shaping your market. Reach it from Claude, ChatGPT, Cursor, Gemini, or any MCP client, plus Slack, email, and the native Aim app.
- Website: https://www.startaiming.com
- Live demo: https://mcp-demo.startaiming.com
- Pricing: https://mcp-demo.startaiming.com/pricing
- Book a call: https://mcp-demo.startaiming.com?book
This repository is the public connection guide and registry manifest for Aim's hosted MCP server. Aim is a hosted, commercial service, so there is no self-hosted package to install.
Connect
MCP endpoint: https://mcp.startaiming.com/mcp (remote, streamable HTTP, OAuth on first call)
Claude Code
claude mcp add --transport http aim https://mcp.startaiming.com/mcp
Authentication opens in your browser on the first tool call.
Claude Desktop
Settings -> Connectors -> Add custom connector, paste https://mcp.startaiming.com/mcp, click Connect, and complete the browser sign-in.
Claude.ai (web, desktop, mobile)
Open the custom-connector dialog, Add https://mcp.startaiming.com/mcp, then Connect and sign in to Aim. Works across Free, Pro, Max, Team, and Enterprise plans.
Cursor, VS Code, and other MCP clients
Add a new MCP server in the app's settings with the URL https://mcp.startaiming.com/mcp, then authenticate in the browser on first use.
Tools
research_market- market, competitor, and topic intelligence drawn from Aim's curated sources.whats_new- the latest signal across the topics you monitor.list_projects- your Aim monitoring projects (knowledge layers).get_cluster_documents- the underlying source documents behind a cluster.about_aim- what Aim is: plans, install, demos, and how to reach the team.
Plans
- Free ($0): 100 queries/week, all public knowledge layers, MCP install for any agent.
- Pro ($90/mo): 1 user, unlimited queries, Slack + email digests, MCP + app + API access.
- Team ($400/mo): up to 10 users, custom knowledge layers, a 30-minute founder setup call.
- Enterprise: unlimited users and custom layers, SSO + role-based access, DPA + EU/US data residency.
Registry
Published to the Official MCP Registry as com.startaiming/aim. The manifest is in server.json.
Powered by Aim - https://startaiming.com
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.