ProposalPilot MCP Server
Click on "Deploy 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., "@ProposalPilot MCP Server Draft a proposal for TechCo's new mobile app, $10k budget, 6-week timeline"
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.
ProposalPilot MCP Server
An MCP (Model Context Protocol) server that generates professional freelance project proposals using AI.
Features
AI-Powered Proposals: Uses Claude to generate compelling, tailored proposals
Complete Proposal Structure: Executive summary, scope, timeline, pricing, and terms
Customizable Tone: Professional, confident, or friendly writing styles
MCP Compatible: Works with any MCP-compatible client (Claude Desktop, etc.)
Installation
cd mcp-servers/proposalpilot-mcp
npm install
npm run buildConfiguration
Set your Anthropic API key:
export ANTHROPIC_API_KEY=your-key-hereClaude Desktop
Add to your Claude Desktop config (~/.config/claude-desktop/config.json or ~/Library/Application Support/Claude/claude_desktop_config.json):
{
"mcpServers": {
"proposalpilot": {
"command": "node",
"args": ["/path/to/mcp-servers/proposalpilot-mcp/dist/index.js"],
"env": {
"ANTHROPIC_API_KEY": "your-key-here"
}
}
}
}Tool: generate_proposal
Generates a professional freelance project proposal.
Required Inputs
Parameter | Type | Description |
| string | Detailed description of the project requirements (min 10 chars) |
| string | Name of the client or company |
| string | Budget info (e.g., "$100/hr", "$5000 fixed", "$3000-5000") |
| string | Desired timeline (e.g., "2 weeks", "by March 15") |
Optional Inputs
Parameter | Type | Description |
| string | Writing tone: "professional", "confident", or "friendly" |
| string | Freelancer's services/skills to highlight |
Example
{
"name": "generate_proposal",
"arguments": {
"project_description": "Build a modern e-commerce website with React frontend and Node.js backend. Need product catalog, shopping cart, checkout with Stripe, and admin dashboard.",
"client_name": "TechStartup Inc",
"budget": "$8,000 - $12,000",
"timeline": "6 weeks",
"tone": "professional",
"services": "Full-stack web development, React, Node.js, PostgreSQL"
}
}Output
Returns a complete proposal with:
Executive Summary - Project understanding and fit
Scope of Work - Detailed deliverables breakdown
Timeline - Milestones and schedule
Pricing - Cost breakdown based on budget
Terms & Conditions - Payment and revision policies
Development
# Run in development mode
npm run dev
# Build
npm run build
# Test
npm testTesting
The test script validates server startup, tool listing, and (if ANTHROPIC_API_KEY is set) proposal generation:
npm run build
npm testLicense
MIT
Available Tools
1 toolgenerate_proposalC
Generate a professional freelance project proposal using AI. Creates a complete proposal with executive summary, scope of work, timeline, pricing, and terms.
Inputs: project_description (required), client_name (required), budget (required), timeline (required), +2 more.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool's purpose is clearly defined and distinct by default.
A single tool inherently has perfect naming consistency, as there are no other tools to compare against. The name 'generate_proposal' follows a clear verb_noun pattern.
A single tool is too few for a server named 'ProposalPilot MCP Server', which suggests a broader scope for managing proposals. This minimal set limits functionality and likely leaves gaps in the proposal lifecycle.
The tool set is severely incomplete for the implied domain of proposal management. It only provides generation, with no tools for editing, reviewing, listing, deleting, or other essential CRUD operations, causing significant agent failures.
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