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Fermat

REMOTE · MCP.FERMAT.AI.PHASE.XYZ

OpenAI-compatible LLM gateway: pay per request with an API key, signed receipt for each call.

63 Trust /100

Last scanned (16 hours ago)

Scores higher than 47% of remote servers

Reachable. Last reached 22 Oct 2026.

Category AI and Machine Learning

Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →

Endpoint Security57
Transport & Reachability100
Schema Quality & AI Usability70
  • AI-judged instruction clarity (good).Pass
  • Context-footprint check failed: tool/resource definitions use about 1246 tokens (~113/item across 11 items; 11 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
  • Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage99
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 97% of tool parameters carry a description.Partial
  • Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 11 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 12 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a current MCP spec version (2026-07-28).Pass

Unverified: 1 category

A category scored 0 because we could not verify it: authentication we do not have, an unreachable endpoint, or not enough scan history. We only credit what we can confirm.

Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 22 Oct 26 63

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 22 Oct 2026 · Probed https://mcp.fermat.ai.phase.xyz/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=mcp.fermat.ai.phase.xyz CN=YE2,O=Let's Encrypt,C=US 22 Oct 2026 20 Jan 2027 ECDSA 256 ECDSA-SHA384 55f667296769841d89fef3113030d9f64e8
SANs: mcp.fermat.ai.phase.xyz
CN=YE2,O=Let's Encrypt,C=US (CA) CN=Root YE,O=ISRG,C=US 3 Sept 2025 2 Sept 2028 ECDSA 384 ECDSA-SHA384 4df3b15dd6c0784c507cd37b58e6f115
CN=Root YE,O=ISRG,C=US (CA) CN=ISRG Root X2,O=Internet Security Research Group,C=US 13 May 2026 2 Sept 2032 ECDSA 384 ECDSA-SHA384 872165fc34b6e5fba8add5b3705fb53a
CN=ISRG Root X2,O=Internet Security Research Group,C=US (CA) CN=ISRG Root X1,O=Internet Security Research Group,C=US 13 May 2026 2 Sept 2032 ECDSA 384 SHA256-RSA 6c8f1dc727c7117f7baf853ac980f9cd

Background: What to check on a remote MCP endpoint →

DNSSEC insecure

Validation of mcp.fermat.ai.phase.xyz. — Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
xyz. present 3599, 18130 8, 8 Verified
phase.xyz. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication No authorisation required

The endpoint answered without asking for a token. Anyone who knows the URL can reach it.

Result No authorisation required
HTTP status 200

Background: How OAuth 2.1 works in the 2026 MCP spec →

Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://mcp.fermat.ai.phase.xyz/mcp Verified 200
http (plaintext) http://mcp.fermat.ai.phase.xyz/mcp HTTPS enforced 308 https://mcp.fermat.ai.phase.xyz/mcp
MCP tools · 11 exposed · ~1,078 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
chat ~186

Run a chat completion on the Fermat gateway, paid from the Phase API key or the wallet this server uses (free models cost nothing). Returns the answer, actual price, task id for the receipt and usage.

NameTypeReqDescription
max_tokensinteger–output cap; also bounds the price ceiling
messagesnull|array–full conversation; overrides prompt/system
modelstringyesmodel id from list_models, or a class: auto | eco | premium | agentic
promptstring–single user message (use messages for multi-turn)
sessionstring–saved session id (from the session tool or a /s/<id> link): the gateway prepends its history and appends this turn
systemstring–optional system prompt
temperaturenull|number–sampling temperature 0–2 (Claude ignores it)
NameTypeReqDescription
batchstring–payment batch this call was charged to (settled with one transaction later)
ceiling_usdstring––
elapsed_msintegeryes–
levelstring––
modelstringyes–
paymentstringyes–
price_usdstringyes–
providerstringyes–
receipt_urlstring––
routed_modelstring––
sessionstring––
session_urlstring––
task_idstringyes–
textstringyes–
tx_hashstring––
usageobjectyes–

No examples provided.

compare ~170

Run one prompt on 2 to 4 Fermat models or classes at once and compare answer, price, tokens and speed; returns the cheapest, the most expensive and how many times more the expensive one cost. Spends credit for each model. Default models: the cheapest paid chat model, auto, and the most expensive open chat model.

NameTypeReqDescription
max_tokensinteger–output cap for every model (default: none)
messagesnull|array–full conversation; overrides prompt/system
modelsnull|array–2 to 4 model ids or classes; default: the cheapest paid chat model, auto, and the most expensive open chat model
promptstring–single user message (use messages for multi-turn)
systemstring–optional system prompt
NameTypeReqDescription
cheapeststring–model with the lowest price among the answers
most_expensivestring–model with the highest price among the answers
rationumber–most expensive price divided by the cheapest, one decimal
resultsnull|arrayyes–

No examples provided.

docs ~47

Fermat documentation in short: connect, pricing (with the live price table), savings, mcp, byok, data, receipts, limits.

NameTypeReqDescription
topicstringyeswhat to explain
NameTypeReqDescription
textstringyes–
topicstringyes–

No examples provided.

embed ~44

Compute embeddings on the Fermat gateway (paid from the Phase API key or the wallet).

NameTypeReqDescription
inputnull|arrayyes–
modelstringyesembeddings model id
NameTypeReqDescription
paymentstringyes–
price_usdstringyes–
vectorsnull|arrayyes–

No examples provided.

key ~26

Balance, daily cap and spend of the Phase API key this server pays with (key mode).

Input schema present but exposes no named parameters.

NameTypeReqDescription
keyobject––

No examples provided.

list_models ~58

List models of the Fermat gateway with prices (USD per 1M tokens, fee per call) and layer (flagship | open | class | free).

NameTypeReqDescription
layerstring–optional filter: flagship | open | class | free
NameTypeReqDescription
gatewaystringyes–
modelsnull|arrayyes–
walletstring––

No examples provided.

quote ~161

Get the price ceiling for a chat request without paying (the gateway's 402 quote).

NameTypeReqDescription
max_tokensinteger–output cap; also bounds the price ceiling
messagesnull|array–full conversation; overrides prompt/system
modelstringyesmodel id from list_models, or a class: auto | eco | premium | agentic
promptstring–single user message (use messages for multi-turn)
sessionstring–saved session id (from the session tool or a /s/<id> link): the gateway prepends its history and appends this turn
systemstring–optional system prompt
temperaturenull|number–sampling temperature 0–2 (Claude ignores it)
NameTypeReqDescription
ceiling_usdstringyes–
freebooleanyes–
input_tokens_estimateintegeryes–
input_usd_per_1mstringyes–
max_output_tokens_pricedintegeryes–
max_usd_per_callstring–largest quote the wallet will sign (wallet mode only)
modelstringyes–
networkstringyes–
output_usd_per_1mstringyes–
paid_by_keyboolean–true when a Phase API key pays: its balance and daily cap apply, max_usd_per_call does not
per_call_usdstringyes–
wallet_can_paybooleanyes–

No examples provided.

receipt ~67

Fetch the public receipt of a paid request by task id (model, provider, tokens, price, settlement tx, request/response hashes, signatures) and its Merkle proof once the weekly epoch is closed.

NameTypeReqDescription
task_idstringyestask id from chat / embed (0x…)
NameTypeReqDescription
epoch_statestringyes–
proofobject––
receiptobjectyes–
urlstringyes–

No examples provided.

route_explain ~77

Explain one Fermat request from its public receipt: the model or class it named, the complexity level, the model and provider that served it, the price, the price of the class baseline model and the saving in percent, and the providers tried.

NameTypeReqDescription
task_idstringyestask id from chat / embed (0x…)
NameTypeReqDescription
attemptsinteger–providers tried, the one that served included
baseline_usdstring–price of the same usage on the class baseline model
explanationstringyes–
failed_attemptsnull|array––
is_classbooleanyes–
levelstring–complexity level the classifier gave the request
price_usdstringyes–
providerstringyes–
receipt_urlstringyes–
requestedstringyesmodel or class the request named
routed_modelstringyes–
saved_usdstring––
saving_percentnumber––
task_idstringyes–

No examples provided.

session ~161

Saved chat sessions on the Fermat gateway: create one (returns an id and a shareable /s/<id> link), read its thread, list the wallet's sessions (wallet mode only: signed with the wallet key, no transaction), or delete one. Pass the id as `session` to chat and the gateway carries the context between turns and visits.

NameTypeReqDescription
actionstringyescreate | get | list | delete
idstring–session id (get, delete)
modelstring–create: model the session starts with (informational; each chat names its own)
systemstring–create: system prompt kept for every turn
titlestring–create: title (defaults to the first message)
NameTypeReqDescription
deletedboolean––
expires_atstringyes–
idstringyes–
messagesnull|arrayyes–
modelstring––
requestsintegeryes–
sessionsnull|array––
spent_usdstringyes–
systemstring––
titlestring––
urlstringyes–

No examples provided.

usage ~81

Spend and savings of the Fermat API key over the last N days (1 to 90, default 7): totals, per day and per model when the gateway has the history (source usage), otherwise the key's totals (source key). Key mode only.

NameTypeReqDescription
daysinteger–period in days, 1 to 90 (default 7)
NameTypeReqDescription
available_usdstring––
daily_cap_usdstring––
daysintegeryes–
per_daynull|array––
per_modelnull|array––
requestsintegeryes–
saved_usdstring––
sourcestringyesusage: per-day history from /v1/key/usage; key: totals only from /v1/key
spent_today_usdstring––
spent_usdstringyes–

No examples provided.

Install

How do I install the Fermat MCP server?

Fermat is a hosted endpoint at https://mcp.fermat.ai.phase.xyz/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

remote · mcp.fermat.ai.phase.xyz

# add to Claude Code
claude mcp add --transport http xyz-phase-ai-gateway 'https://mcp.fermat.ai.phase.xyz/mcp'
Common questions

What is the Fermat MCP server?

Fermat is an MCP server listed in the public MCP registry as xyz.phase.ai/gateway. OpenAI-compatible LLM gateway: pay per request with an API key, signed receipt for each call. This page covers its hosted endpoint (https://mcp.fermat.ai.phase.xyz/mcp).

Is the Fermat MCP server safe to use?

Fermat scores 63 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the Fermat MCP server expose?

Fermat exposes 11 tools: chat, compare, docs, embed, key, and 6 more. Their descriptions and schemas cost roughly 1,078 tokens of context every time the server is loaded.

Does the Fermat MCP server require authentication?

No. We connected to Fermat without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

Is the Fermat MCP server still maintained?

Fermat is still listed as active in the MCP registry. We last reached this channel on 22 October 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.