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The Quikly MCP server lets AI assistants interact with your Quikly account through the Model Context Protocol (MCP). You can create proposals, analyze briefs, get rate recommendations, and share proposals — all from your AI-powered editor or chat.

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What is MCP?

Model Context Protocol is an open standard that connects AI assistants to external tools and data sources. Instead of copy-pasting between Quikly and your editor, you give the assistant direct access to Quikly’s API through structured tool calls.

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What is quikly-mcp-server?

quikly-mcp-server is an npm package that exposes Quikly’s API as MCP tools. When you add it to a supported client, the AI assistant can:
  • Get your profile information
  • Create proposals from a project description
  • Analyze a brief and extract structured requirements
  • Get AI-powered rate recommendations by role, seniority, and location
  • Retrieve proposal details
  • Generate share links for clients

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Supported clients

ClientStatus
CursorSupported
Claude DesktopSupported
Claude CodeSupported
Any MCP-compatible client can use quikly-mcp-server.

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Installation

The server runs via npx — no global install required. You need two environment variables:
VariableDescription
QUIKLY_API_BASE_URLhttps://api.getquikly.com/api/external/v1
QUIKLY_API_KEYYour Quikly API key (create one in Settings → API Keys)

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Cursor

Add this to your Cursor MCP configuration file (.cursor/mcp.json in your project or global config): 
{
  "mcpServers": {
    "quikly": {
      "command": "npx",
      "args": ["-y", "quikly-mcp-server"],
      "env": {
        "QUIKLY_API_BASE_URL": "https://api.getquikly.com/api/external/v1",
        "QUIKLY_API_KEY": "qk_your_api_key_here"
      }
    }
  }
}
After saving, restart Cursor or reload the MCP servers. You should see Quikly tools in the MCP panel.

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Claude Desktop

Add this to your Claude Desktop configuration file:
  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
{
  "mcpServers": {
    "quikly": {
      "command": "npx",
      "args": ["-y", "quikly-mcp-server"],
      "env": {
        "QUIKLY_API_BASE_URL": "https://api.getquikly.com/api/external/v1",
        "QUIKLY_API_KEY": "qk_your_api_key_here"
      }
    }
  }
}
Restart Claude Desktop after saving. The Quikly tools will appear in the tools menu.

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Claude Code

claude mcp add quikly -- npx -y quikly-mcp-server \
  --env QUIKLY_API_BASE_URL=https://api.getquikly.com/api/external/v1 \
  --env QUIKLY_API_KEY=qk_your_api_key_here

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Verify the connection

After configuring, ask your AI assistant:
“Use the quikly_me tool to check my Quikly profile.”
If everything is set up correctly, the assistant will return your name, email, and subscription tier.

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Available tools

The MCP server exposes the following tools:
ToolDescription
quikly_meGet your profile info
quikly_create_proposalCreate a new proposal
quikly_analyze_briefAnalyze a brief and extract requirements
quikly_recommend_rateGet an AI rate recommendation
quikly_get_proposalGet a proposal by ID
quikly_share_linkGenerate a share link
See the tools reference for parameters, examples, and equivalent API endpoints.
Create a dedicated API key with read,write scope for your MCP server. Label it “Cursor MCP” or “Claude MCP” so you can identify and rotate it easily.