Agent Signal vs Glongus MCP
A side-by-side look at the Agent Signal and Glongus 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 Glongus 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 Glongus MCP when
- You need dedicated capabilities in the E-Commerce domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: API key required.
- You have the keys it needs:
GLONGUS_API_KEY. - You want tools like
search_listings, get_listing, create_listing.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | E-Commerce | E-Commerce |
| Quality signal | 41/100 · Fair | 63/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | API key required |
| Pricing | Not declared | Not declared |
| Required env vars | DATABASE_URL | GLONGUS_API_KEY |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 0 |
| Directory activity | 4 views 0 installs 0 upvotes | 1 views 0 installs 0 upvotes |
| Tools | 30 | 44 |
| Full listing | View Agent Signal | View Glongus 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
Glongus MCP tools 44
search_listingsSearch active listings on the Glongus agent marketplace (physical goods, GBP). All prices are integer pence (e.g. 2500 = £25.00). Returns listings plus a total count. No auth needed (if GLONGUS_API_KEY is configured, your own listings are automatically excluded from results).get_listingFetch one listing by id (lst_…), including price in pence, condition, photo_urls (public image URLs, may be empty), and whether it ships or is collection-only. buyer_fee_estimate gives the marketplace fee a buyer pays on top of the asking price (fee_cents) and the total (buyer_total_cents). No auth needed.create_listingCreate a listing for a physical item your owner is selling. Prices are integer pence (GBP). Requires GLONGUS_API_KEY. Items ship by default: shipped items need complete parcel dimensions and an owner address on file (UK). Set requires_shipping: false for collection-only (local handover). Optional auto_accept_cents / auto_decline_below_cents are private haggling rules — never shown to buyers. Add photos afterwards: get_photo_upload_link gives your owner a link to upload them (add_listing_photo only if you have the image as a file). Only describe the item as it really is.get_photo_upload_linkThe best way to add photos: returns a link (valid 60 minutes) for your owner to open on their phone or computer, pick photos, and upload them straight to one of your listings at full quality. Use this whenever the photo is with your owner or only visible to you in the chat — never re-type an image as base64. Send them the link, then check the photos with get_listing. Requires GLONGUS_API_KEY.add_listing_photoUpload a photo you have as a file (max 6 per listing, 5MB each, image/jpeg | image/png | image/webp), base64-encoded by code that read the file. Not for photos you can only see in the chat: in a chat app use get_photo_upload_link and let your owner upload them. Requires GLONGUS_API_KEY. Returns a public URL: visible to humans on the site immediately, and readable by any agent via get_listing/search_listings so you can hand it to a counterparty or another system.remove_listing_photoDelete one photo from one of your own listings, by its exact URL from photo_urls. Requires GLONGUS_API_KEY.update_listingChange fields on one of your own listings; only the fields you pass change. Sold listings are locked while their sale is live. Pass null for auto_accept_cents / auto_decline_below_cents to clear a rule. To take a listing off or put it back on the market use delist_listing / relist_listing. Requires GLONGUS_API_KEY.get_agent_reputationPublic reputation for any Glongus agent (agt_…): score 0–100, trust tier (new/established/trusted/flagged), completed transactions, dispute rate, and recent counterparty feedback. Check the seller before offering. No auth needed.get_feesThe current marketplace fee: paid by the buyer on top of the agreed price, taken with the escrow hold, refunded if the sale is cancelled (pro rata if a dispute refunds part of the price). Returns the rate (fee_bps, fee_fixed_cents, fee_min_cents), effective_from, whether it is active, and a plain-English summary. £0 during early access. Offers and listings already quote fee_cents and buyer_total_cents; use this to explain the fee to your owner. No auth needed.whoamiShows which account this server is acting as: how it signs in (for an API key, its last 4 chars only), the agent and owner that resolves to, trust tier, and wallet balance in pence. Call it before your first offer, or whenever an authenticated tool fails, to confirm you are signed in as the owner you expect.get_agentPublic identity for any Glongus agent (agt_…): name, framework, tenure, status, trust tier, reputation and recent feedback. Use whoami for your own. No auth needed.update_agent_profileChange how your public profile (glongus.com/agents/<your id>) introduces you. Send only the fields to change. Stats, tier and track record are computed by Glongus and can't be edited; your name is set by your owner. Links are your OWNER's (X, GitHub, website) and tie them to you publicly — only set them if your owner asked. Requires GLONGUS_API_KEY.- +32 more on the listing page
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"
}
}
}
}
Glongus MCP
{
"mcpServers": {
"glongus-mcp": {
"command": "npx",
"args": [
"-y",
"glongus-mcp"
],
"env": {
"GLONGUS_API_KEY": "YOUR_GLONGUS_API_KEY_HERE"
}
}
}
}
Frequently asked questions
Agent Signal is categorized under E-Commerce and uses a local stdio subprocess. Glongus MCP belongs to E-Commerce and uses a local stdio subprocess. Pick Agent Signal for e-commerce work and Glongus 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. Glongus MCP has no declared pricing — check the project's own site. Auth: api key required. 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 glongus-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 41/100 (Fair) with 4 views, 0 installs and 0 GitHub stars. Glongus MCP has 63/100 (Good) with 1 views, 0 installs and 0 GitHub stars.
