
Edge Agents AI MCP server
Which MCP servers are Edge Agents AI's own, from the official registry and from asking its own domain, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.
read 2026-10-23
- Registry nameai.edge-agents/intelligenceverified in the MCP registry
The registry name sits under edge-agents.ai. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.
- Stateanswerschecked 2026-10-23
- Tools7
- Server calls itselfedge-agents-ai
- Server version2.0
- Protocol version2025-06-18
On 2026-10-23 the server answered initialize and tools/list without a sign-in. First answer in 109 ms.
- Whether its tools do the product's job has not been judged yet.
Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.
- INITE MCP score100 of 100answers 100 · definitions 100 · context 100 · connects 100
- Answered100% of days13 of 13 daily checks
- Median first answer121 ms
- Space in an agent's context≈ 1,028 tokensthe definitions of all its tools (8), which an agent carries on every turn
- Tool definitionsA · 100 of 100
- Typed results0 of 8 toolsdeclared outputSchema: results come typed, read once
- Every tool passes all six checks.
What an agent can do with it
- not sure · Check the evidence behind a market regime conclusion
- not sure · Assess the risks behind a macro or market headline
- not sure · Buy machine-readable intelligence conclusions over x402 payment rails
Each of the product's use cases, put to Jev against this server's tool list: can an agent do it with these tools?
Worth a look
None of the five warning signs in these definitions.
A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (25%), doing the product's job (25%), definitions (20%), context (10%), use (10%) and how readily a client connects (10%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →
edge_search_servicesFind intelligence services by keyword. Returns id, name, description, family and price for each match. Start here when you know what evidence you need but not which service provides it.
edge_list_familiesList the families the catalogue is organised into, with a service count for each. Use this to browse when a keyword search is too narrow, or to check coverage of a subject area before committing to a purchase.
edge_get_serviceLook up one service by its id and return its full public record: what it produces, its price, its freshness target, its output schema version and its purchase endpoint. Call this before purchasing so the price and freshness are known…
edge_get_free_sampleFetch a free, illustrative sample of a service's output so the response shape and evidence style can be inspected before paying. The sample is illustrative: treat it as a schema and quality guide, not as current market evidence.
edge_list_productsList the packaged products, each of which composes several specialist services into one buyer outcome, with its free sample and its representative purchase path. Prefer these over assembling specialist services yourself when a product…
edge_service_healthReport per-service availability and data freshness. Call this when a purchase matters and staleness would change the decision: a service can be operational but working from evidence older than its freshness target, which is reported…
edge_get_report_termsRead the live x402 payment terms for a service's report: the price, and one offer per settlement rail, exactly as the paid endpoint issues them. Use this to check a report's cost against your own spend policy before committing. Settlement…
How to connect
Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:
{
"mcpServers": {
"intelligence": {
"type": "http",
"url": "https://pay.edge-agents.ai/mcp"
}
}
}Add it
Claude Code, in a terminal
claude mcp add --transport http edge-agents https://pay.edge-agents.ai/mcpclaude.ai, ChatGPT and other clients: add https://pay.edge-agents.ai/mcp as a custom connector in the settings.
OpenAPI spec
808 paths, read 2026-10-23. Open the spec ↗
Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.
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