Espresso MCP

NPM · ESPRESSO-MCP · SCANNED AUG 3

Find great espresso cafes worldwide with curated data and transparent quality scoring.

Available components

+20 this week 65 65 Trust /100

Trust breakdown (6 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score →

Supply Chain Security87

No malware found by supply-chain analysis.Pass
Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree.Partial
No install/post-install scripts declared.Pass
Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree. View diagnostics → Partial

Provenance & Transparency45

Source repository is publicly reachable at the declared URL. View diagnostics → Pass
Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
Clear OSI-approved license (MIT).Pass
Actively maintained (last published 76 days ago).Pass
Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail

Schema Quality & AI Usability72

AI-judged instruction clarity (excellent).Pass
Context-footprint check failed: tool/resource definitions use about 859 tokens (~143/item across 6 items; 6 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 Coverage100

100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
100% of tool parameters carry a description.Pass

Capabilities100

Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass

Unverified: 1 category

A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.

Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

npm · espresso-mcp

Claude Codex opencode OpenClaw Hermes Other

# add to Claude Code

claude mcp add mattgierhart-espresso-mcp -- npx -y espresso-mcp

# add to Codex CLI

codex mcp add mattgierhart-espresso-mcp -- npx -y espresso-mcp

// opencode.json

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "mattgierhart-espresso-mcp": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "espresso-mcp"
      ],
      "enabled": true
    }
  }
}

# add to OpenClaw

openclaw mcp add mattgierhart-espresso-mcp --command npx --arg -y --arg espresso-mcp

# ~/.hermes/config.yaml

mcp_servers:
  mattgierhart-espresso-mcp:
    command: "npx"
    args: ["-y", "espresso-mcp"]

// mcp.json

{
  "mcpServers": {
    "mattgierhart-espresso-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "espresso-mcp"
      ]
    }
  }
}

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.

2 Aug 26 +40
- Provenance: unverified → fail ▼ security
- Known CVEs: unverified → partial ▲ security
- Install scripts: unverified → pass ▲ security
- Malware scan: unverified → pass ▲ security
- Maintenance: unverified → pass ▲ functional
- Dependency health: unverified → partial ▲ functional
- License: unverified → pass ▲ functional
- Schema quality: unverified → excellent ▲ functional
- Licence: MIT functional
31 Jul 26 −20
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
30 Jul 26 +18
- Dependency health: partial → unverified ▼ functional
- Tool coverage: unverified → 100 ▲ functional
28 Jul 26 −18
- Tool coverage: 100 → unverified ▼ functional
- Dependency health: unverified → partial ▲ functional
- First check of Schema quality: unverified functional
27 Jul 26 45

First indexed and scored.

Show 4 earlier entries Hide earlier entries

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 3 Aug 2026 · Analysed npm/[email protected]

Provenance none

Ecosystem: npm · Outcome: none

Dependencies 95 packages

95 packages in the resolved dependency tree · 95 deprecated · 29 stale.

The dependency tree was only partially resolved, so these counts may be incomplete.

MCP tools — 6 exposed · ~740 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.

Tool Tokens

find_espresso_near Find Espresso Near a Location ~132

Find ranked specialty espresso cafes within a radius of given coordinates. Returns cafes from the curated database sorted by espresso-quality score, with distance and score reasoning for each.

Input Output Examples

Name	Type	Req	Description
lat	number	yes	Latitude in decimal degrees (-90..90).
limit	integer	—	Maximum number of cafes to return. Default 10.
lon	number	yes	Longitude in decimal degrees (-180..180).
min_score	number	—	Filter out cafes below this espresso quality score (0-100). Default 50.
radius_km	number	—	Search radius in kilometers. Default 2km.

No output schema declared.

No examples provided.

get_cafe_details Get Cafe Details ~74

Retrieve a full curated record for a cafe by id, including the espresso-quality score breakdown (per-signal contributions) and a few nearby/related cafes.

Input Output Examples

Name	Type	Req	Description
id	string	yes	Cafe id (slug) — e.g. 'tim-wendelboe-oslo'. Use search_cafes to find ids.

No output schema declared.

No examples provided.

list_anti_patterns List Anti-Pattern Coffee Shops ~114

List shops that exemplify what to AVOID when looking for great espresso. Includes mass-market chains (Starbucks, Dunkin', Costa) and 'flavor-led specialty' shops that display third-wave signage but lean heavily on flavored drinks. Each entry shows why it's flagged. Useful as contrast when recommending real specialty cafes, and as regression fixtures for the scoring algorithm.

Input Output Examples

Name	Type	Req	Description
category	string	—	Filter to a specific anti-pattern category.
limit	integer	—	Maximum number of entries to return. Default 20.

No output schema declared.

No examples provided.

list_great_roasters List Great Coffee Roasters ~108

List curated specialty coffee roasters from the database, filtered by country and reputation tier. Useful for finding cafes that serve a given roaster's beans, or planning a roaster-focused trip.

Input Output Examples

Name	Type	Req	Description
country	string	—	Filter by ISO-3166 alpha-2 country code.
limit	integer	—	Maximum number of roasters to return. Default 50.
min_reputation	string	—	Minimum reputation tier. Default: 'notable' (includes all known).

No output schema declared.

No examples provided.

score_cafe Score a Cafe by Observed Signals ~132

Apply the espresso-quality scoring algorithm to a set of observed signals (no database lookup required). Returns a 0-100 score, tier, per-signal contributions, and reasoning. Use this when you've gathered information about a cafe from a website, photo, or review and want a structured assessment.

Input Output Examples

Name	Type	Req	Description
name	string	—	Optional cafe name (used in reasoning and roaster lookup).
observed_signals	object	yes	Signals observed about the cafe. Omit fields you don't know — unknowns are skipped, not penalized.
source_rankings	array	—	Awards / rankings the cafe appears in.

No output schema declared.

No examples provided.

search_cafes Search Curated Cafes ~180

Search the curated specialty coffee cafe database by name, city, country, roaster, and minimum quality score. Returns scored results sorted by espresso-quality score descending.

Input Output Examples

Name	Type	Req	Description
city	string	—	Filter by city name (case-insensitive exact match).
country	string	—	Filter by ISO-3166 alpha-2 country code (e.g. 'JP', 'DK', 'US').
limit	integer	—	Maximum number of cafes to return. Default 20.
min_score	number	—	Minimum espresso-quality score (0-100). Default 0 (no filter).
query	string	—	Free-text query matched against cafe name, city, district, and notes (case-insensitive).
roaster	string	—	Filter to cafes that roast in-house under this name, or serve beans from this roaster.

No output schema declared.

No examples provided.

On this page

Handy links

Scoring key

80+ high trust
60–79 medium
below 60 low

How we score

Score history · last 30 days

27 Jul 3 Aug