comparare
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Developers & AI agents

Connect your agent to Comparare

When a user says “I need one product for CRM and invoicing; the vendor should have 1,000+ employees and 10k active users”, your agent finds the right endpoint and gets a structured answer in seconds. Reading is free and needs no key.

1. MCP (Claude, ChatGPT, Cursor, VS Code…)

Our Model Context Protocol endpoint uses Streamable HTTP and needs no sign-in. Server URL:

https://comparare.echoenes.dev/mcp

claude.ai, Claude Desktop and Claude mobile share the same connectors.

  1. Open Settings → Connectors.
  2. Click Add custom connector.
  3. Name: Comparare, remote MCP server URL: https://comparare.echoenes.dev/mcp. Leave the OAuth fields under Advanced settings empty.
  4. Click Add. In a chat, turn Comparare on from the + → Connectors menu and ask your question.

Team and Enterprise: an organization owner first adds the connector under Admin settings → Connectors; members then enable it in their own settings.

Custom MCP servers are added through developer mode (Plus, Pro, Business, Enterprise and Edu, on the web).

  1. Open Settings → Apps → Advanced settings and turn on Developer mode.
  2. Click Create app (called "Create connector" in some versions).
  3. Name: Comparare, MCP server URL: https://comparare.echoenes.dev/mcp, authentication: No authentication. Confirm that you trust the app and save.
  4. In a new chat open +, pick Developer mode and enable Comparare.

Business and Enterprise workspaces: an admin may need to allow developer mode first. Without developer mode, use a Custom GPT with the OpenAPI definition below.

Claude Code:

claude mcp add --transport http comparare https://comparare.echoenes.dev/mcp

Cursor, VS Code, Windsurf and other clients (mcp.json):

{
    "mcpServers": {
        "comparare": {
            "type": "http",
            "url": "https://comparare.echoenes.dev/mcp"
        }
    }
}

Cloud clients (claude.ai, ChatGPT) can only reach a public HTTPS address; local development URLs will not work there.

Tools

search_products
Search with structured filters
list_categories
Category tree and feature vocabulary
get_product
Product details
get_vendor
Company facts
compare_products
Side-by-side comparison, pros & cons + feature matrix
find_alternatives
Alternative products

Every tool accepts an optional "language" argument (en, tr) for localized text.

2. REST API + OpenAPI (Custom GPT Actions, LangChain, n8n…)

Import the OpenAPI 3.1 definition: https://comparare.echoenes.dev/api/v1/openapi.json

# Turn the user's sentence into filters
GET https://comparare.echoenes.dev/api/v1/parse?q=one product for crm and invoicing, at least 1000 employees, 10k active users

# Or build the filters yourself (categories are AND-ed)
GET https://comparare.echoenes.dev/api/v1/products?categories=crm,invoicing&min_employees=1000&min_active_users=10000&include_unknown_metrics=true

# Only Deloitte alliance partners
GET https://comparare.echoenes.dev/api/v1/products?categories=supply-chain-planning&deloitte_alliance=true

# Turkish text in responses
GET https://comparare.echoenes.dev/api/v1/products/odoo?lang=tr

# Comparison
GET https://comparare.echoenes.dev/api/v1/compare?products=hubspot-crm,salesforce-sales-cloud

Unknown metrics are null — your agent should not guess them. Every product carries deloitte_alliance. /compare also returns pros and cons per product.

3. llms.txt

Summary for agents browsing the web: /llms.txt · full catalog: /llms-full.txt. Product pages also include schema.org SoftwareApplication JSON-LD.

Sample system prompt (Custom GPT / agent)

When the user describes a software need,  call parseQuery with the user's sentence, then searchProducts with the returned filters (add include_unknown_metrics=true if nothing matches). Recommend the best 3 products with price, vendor size and user count; if a value is null say "unknown" instead of guessing. Mention when a product is a Deloitte alliance partner (deloitte_alliance). Give the "url" link for each product. If the user asks for a comparison, call compareProducts and summarise its pros and cons.
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