Agent Signal vs Keepa MCP
A side-by-side look at the Agent Signal and Keepa MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Agent Signal for e-commerce work as a local process; choose Keepa MCP for e-commerce as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Agent Signal when
- You need dedicated capabilities in the E-Commerce domain.
- You prefer a local stdio subprocess transport.
- You have the keys it needs:
DATABASE_URL. - You want tools like
agent_signal_status, smart_shopping_session, evaluate_and_compare.
Choose Keepa MCP when
- You need dedicated capabilities in the E-Commerce domain.
- You prefer a local stdio subprocess transport.
- You have the keys it needs:
KEEPA_API_KEY. - You want tools like
get_product, get_price_history, get_sales_rank_history.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | E-Commerce | E-Commerce |
| Quality signal | 40/100 · Fair | 57/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | Not declared |
| Pricing | Not declared | Not declared |
| Required env vars | DATABASE_URL | KEEPA_API_KEY |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 0 |
| Directory activity | 2 views 0 installs 0 upvotes | 3 views 0 installs 0 upvotes |
| Tools | 30 | 6 |
| Full listing | View Agent Signal | View Keepa MCP |
Tools & capabilities
Agent Signal tools 30
agent_signal_statusGet an overview of the AgentSignal collective intelligence network. Call this with NO arguments to see what categories have data, trending products, and how to use agent-signal tools. Good first call if you're unsure whether agent-signal has data relevant to the user's request.smart_shopping_sessionCALL THIS FIRST when the user wants to buy, find, compare, or get recommendations for any product. Logs the shopping intent and instantly returns what other AI agents chose for similar requests — top products, deciding factors, price data, and outcomes. One call replaces hours of research. Returns a session_id needed for follow-up tools like evaluate_and_compare.evaluate_and_compareLog a product evaluation AND instantly get intelligence about it in one call. Call this for EACH product you consider during a shopping task. Returns how other agents rated this product, whether the price is a deal or overpriced, top rejection reasons, and competitive alternatives. Requires a session_id from smart_shopping_session.get_todays_dealsSee the best deals spotted by AI agents right now. Call this with NO arguments when the user asks 'any good deals?', 'what should I buy?', or wants shopping inspiration. Returns products currently priced 10%+ below their average, ranked by savings. Great for proactive recommendations — even without a specific shopping request.search_productsSearch for products across the entire agent network by name or keyword. Call this when the user mentions a product name, brand, or type and you want to find what other agents know about it. Returns selection rates, prices, and merchants. Example: search_products(query='sony headphones') or search_products(query='running shoes', category='footwear/running')get_trending_productsSee what products are trending up or down right now. Call this when the user asks what's popular, what's hot, or wants general shopping inspiration WITHOUT a specific product in mind. No category required — omit for all trends. Returns rising and falling products with selection rate changes.get_category_recommendationsGet intelligence about what works best in a product category. Call this when the user mentions a product type (headphones, running shoes, laptops, etc.) even casually. Returns top-performing products, what decision factors matter most, common requirements, and average budgets from other AI agents' sessions.get_budget_productsFind the best products within a specific budget for a category. Call this when the user says 'under $X' or has a clear budget constraint. ranked by selection count. Includes which merchants offer it under budget.get_constraint_matchDecision shortcut: find what products worked for agents with your EXACT constraints. Matches on specific requirements (e.g. 'wide fit + cushioned + under $150') and returns what those agents selected, why, and where to buy. Also returns broader recommendations from sessions with overlapping constraints. Use this to skip the search when a proven answer already exists.get_price_historySee a product's price history over time from all agent observations. Call this when the user asks 'is now a good time to buy?' or 'has this been cheaper?'. Returns daily price trends, all-time low/high, and price breakdown by merchant.detect_dealIs this price good? Compare any product's current price against historical data from all agents. Call this whenever you see a price and want to know if it's a deal or overpriced. Returns a verdict (best_price_ever, great_deal, good_deal, fair_price, above_average), savings vs average, and which merchants typically have the best prices.get_product_intelligenceShould I recommend this product? Get crowdsourced intelligence from other AI agents. Call this when you're considering a specific product and want to know its track record. Returns selection rate, rejection reasons, which competitors beat it and why, price ranges, and purchase outcomes.- +18 more on the listing page
Keepa MCP tools 6
get_productFetch current product details from Keepa for a given Amazon ASIN. Returns: title, brand, category path, current Amazon price, new (3P) price, buy box price, review count, star rating, number of new offers, and latest sales rank. Prices are in USD. A value of "N/A" means the price type is not currently available. Args: - asin (string): Amazon ASIN, e.g. "B08N5WRWNW" - domain (number, optional): Keepa domain id (default 1 = amazon.com) Examples: - "What is the current price of ASIN B08N5WRWNW?" -> use get_product with asin="B08N5WRWNW" - "Show me product details for B07PXGQC1Q" -> use get_product with asin="B07PXGQC1Q" Error handling: - Returns an instructional message if KEEPA_API_KEY is missing. - Returns a not-found message for invalid ASINs.get_price_historyFetch historical price data for an Amazon ASIN from Keepa. Returns a decoded, downsampled time series (at most 60 data points) for: - Amazon price (sold by Amazon directly) - New (3P) price (lowest new third-party price) - Used price (lowest used price) - Buy box price Keepa stores prices in cents. All prices returned are in USD. Keepa time values (minutes since 2011-01-01) are decoded to ISO dates. Args: - asin (string): Amazon ASIN - range (string, optional): Time range. "30d", "6m", "1y", "all". Default: "90d" - domain (number, optional): Keepa domain id (default 1 = amazon.com) Examples: - "Show price history for B08N5WRWNW over the past year" -> range="1y" - "What has the Amazon price been for B07PXGQC1Q in the last 30 days?" -> range="30d"get_sales_rank_historyFetch historical sales rank data for an Amazon ASIN from Keepa. Sales rank (BSR) is a proxy for demand: lower rank = faster sales velocity. Returns a decoded, downsampled time series plus a trend summary. The trend summary indicates whether demand is improving (rank decreasing), worsening (rank increasing), or stable. Args: - asin (string): Amazon ASIN - range (string, optional): Time range. "30d", "6m", "1y", "all". Default: "90d" - domain (number, optional): Keepa domain id (default 1 = amazon.com) Examples: - "Is demand trending up or down for B08N5WRWNW?" -> use get_sales_rank_history - "Show 6-month BSR history for B07PXGQC1Q" -> range="6m"search_productsSearch for Amazon products on Keepa by keyword. Returns a list of matching ASINs. Use get_product on any returned ASIN to fetch full product details, prices, and history. Args: - keyword (string): Search term, e.g. "wireless earbuds" - category_id (number, optional): Restrict to a Keepa category id. - domain (number, optional): Keepa domain id (default 1 = amazon.com) Examples: - "Find products for 'yoga mat'" -> keyword="yoga mat" - "Search Electronics for 'USB-C hub'" -> keyword="USB-C hub", category_id=172282get_best_sellersGet the top-selling ASINs in a Keepa category. Returns an ordered list of ASINs. Find category ids at: https://keepa.com/#!categorytree/1 Common category ids (amazon.com): - 172282: Electronics - 1055398: Computers & Accessories - 3760901: Camera & Photo - 2619533: Musical Instruments - 284507: Kitchen & Dining Args: - category_id (number): Keepa category id - domain (number, optional): Keepa domain id (default 1 = amazon.com) Examples: - "What are the best sellers in Electronics?" -> category_id=172282 - "Top Kitchen products" -> category_id=284507get_dealsFetch current Amazon price-drop deals from Keepa. Returns products where the price has dropped significantly, filtered by minimum price drop percentage and minimum rating. Args: - min_price_drop_pct (number, optional): Minimum % price drop (1-99). Default: 20 - min_rating (number, optional): Min rating 0-50 (45 = 4.5 stars). Default: 40 - page (number, optional): Page offset for pagination. Default: 0 - domain (number, optional): Keepa domain id (default 1 = amazon.com) Examples: - "Show me deals with at least 30% off" -> min_price_drop_pct=30 - "Find highly-rated products on sale" -> min_rating=45, min_price_drop_pct=20
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Agent Signal
{
"mcpServers": {
"agent-signal": {
"command": "npx",
"args": [
"-y",
"agent-signal"
],
"env": {
"DATABASE_URL": "YOUR_DATABASE_URL_HERE"
}
}
}
}
Keepa MCP
{
"mcpServers": {
"keepa-mcp": {
"command": "npx",
"args": [
"-y",
"keepa-mcp"
],
"env": {
"KEEPA_API_KEY": "YOUR_KEEPA_API_KEY_HERE"
}
}
}
}
Frequently asked questions
Agent Signal is categorized under E-Commerce and uses a local stdio subprocess. Keepa MCP belongs to E-Commerce and uses a local stdio subprocess. Pick Agent Signal for e-commerce work and Keepa MCP for e-commerce.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Agent Signal has no declared pricing — check the project's own site. Keepa MCP has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add agent-signal and keepa-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Agent Signal has a quality signal of 40/100 (Fair) with 2 views, 0 installs and 0 GitHub stars. Keepa MCP has 57/100 (Good) with 3 views, 0 installs and 0 GitHub stars.
