World Monitor
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 104 tools.
Check the danger grade of any public MCP server before you connect.
Pick the AI app you use, then copy the settings.
Passed 3/3 checks · Runs on your computer
First: which AI do you use?
Pick your app and the steps appear below.
Works with Claude, with some setup first
Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
One time only; it works for every server that needs Python (uv)
SettingsDeveloperEdit Config
Checking the commands · copy buttons appear once they pass
Use mcp-trust and tell me what you can do for me, then show me one thing✓ If Claude says it is using mcp-trust or shows a mcp-trust tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
ChatGPT cannot connect mcp-trust yet
mcp-trust runs on your computer, but ChatGPT can only connect servers that run on the web
A · Use an app that can connect mcp-trust
B · Others in Other that work with ChatGPT
Picked from the most used in the same category, only ones that connect by address with no key
Works with Claude Code, with some setup first
Install Python (uv) on your computer first (one time)
One time only; it works for every server that needs Python (uv)
Mac: press Command+Space and type Terminal · Windows: open PowerShell
Checking the commands · copy buttons appear once they pass
You should see mcp-trust listed as connected
Use mcp-trust and tell me what you can do for me, then show me one thing✓ If Claude Code says it is using mcp-trust or shows a mcp-trust tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with Cursor, with some setup first
Install Python (uv) on your computer first (one time)
One time only; it works for every server that needs Python (uv)
Checking the commands · copy buttons appear once they pass
Use mcp-trust and tell me what you can do for me, then show me one thing✓ If Cursor says it is using mcp-trust or shows a mcp-trust tool in the answer, you are connected
Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with VS Code, with some setup first
Install Python (uv) on your computer first (one time)
One time only; it works for every server that needs Python (uv)
Checking the commands · copy buttons appear once they pass
Use mcp-trust and tell me what you can do for me, then show me one thing✓ If VS Code says it is using mcp-trust or shows a mcp-trust tool in the answer, you are connected
Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.
JSON settings are under “For developers” below
Claude Code
Checking the commands · copy buttons appear once they pass
Claude Desktop (claude_desktop_config.json)
Checking the commands · copy buttons appear once they pass
Cursor (~/.cursor/mcp.json)
Checking the commands · copy buttons appear once they pass
VS Code (mcp.json)
Checking the commands · copy buttons appear once they pass
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Run on your computer in
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 13, 2026
The registry name was verified with the GitHub account saagpatel, which owns the repo
Code last changed 5 days ago
Uses MIT
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
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Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed 5 days ago, and the latest version (0.1.1) reached the registry 4 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: World Monitor, Claude Flow, Windmill
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 104 tools.
AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
Check before you connect. A neutral, public danger grade for the MCP servers
your AI agents rely on.
Live: mcp-trust.vercel.app
Not yet published to PyPI. Install from source using the Quickstart below.
mcp-trust runs as a read-only MCP server so an agent can check a server's danger grade *before connecting* — it serves a baked snapshot of real scan grades with explicit per-record provenance, so no database or network is needed.
mcp-trust mcp-serve # from a source/dev install (works today)
uvx mcp-trust mcp-serve # once published to PyPI
| Tool | Description |
|---|---|
list_servers | Every graded MCP server with its A-F grade, transparency, and danger score. |
check_server | Full grade, risk dimensions, and findings for one server by slug. |
get_methodology | How the A-F grade and transparency axis are computed, plus the honesty model. |
The MCP runtime admits the packaged catalog only after deterministic schema-v2 validation, including duplicate-key rejection, required field/type checks, unique slugs and source coordinates, supported enums, sandbox/scan-mode agreement, and timezone-aware scan timestamps. Admission also binds grade to danger score, transparency to annotation coverage, and critical findings to the grade cap. Raw JSON is limited to 1 MiB, with deterministic server, finding, tool, and public-string ceilings. Schema v2 preserves additive unknown fields; missing or invalid required fields and unknown schema versions fail closed.
If catalog admission fails, list_servers and check_server serve zero records and return mcp-trust-mcp-error.v1 with status UNKNOWN, error code CATALOG_SNAPSHOT_INVALID, sorted reason codes, and server_count_served: 0. get_methodology remains available. This boundary checks internal consistency; it does not prove snapshot authenticity, authorship, immutability, or freshness.
Offline consumers can add those missing publication checks with mcp-trust verify-snapshot: a detached Ed25519 statement binds the exact snapshot bytes, publisher ID, bounded issue/expiry window, monotonic publication ID, and prior consumer checkpoint. The consumer must independently pin the trust-root SHA-256 and preserve the returned checkpoint for rollback resistance. Invalid, expired, unknown-signer, forked, or rolled-back inputs return only UNKNOWN reason codes and no grades. See docs/OFFLINE-SNAPSHOT-TRUST-V1.md. Statement freshness proves recent publication authorization, not a recent scan; the per-record scan timestamp and 90-day stale policy remain separate checks.
No production trust root, signing key, statement, or checkpoint ships today, so the built-in MCP snapshot remains structural-only unless a consumer separately supplies and pins those inputs. Test fixture keys are not publication keys.
Connecting an MCP server hands it influence over what your agent does. Tool poisoning, prompt injection, over-broad permissions, and rug-pull tool mutations are documented attack classes -- and today there's no quick way to vet a server before you wire it in. MCP Trust Registry scans public MCP servers and gives each one a single readable danger grade (A-F), a separate transparency signal, and the findings behind them.
Think OSV.dev / Socket.dev / haveibeenpwned, scoped to MCP servers.
.python-version pins 3.15.0 for local setupuv (used for dependency management and running the project)The project requires uv==0.13.0. Run the commands below from the repository root; uv sync creates the project virtualenv using the committed lockfile.
Render one versioned, secret-placeholder-only MCP connection intent into staged Codex, Claude Code, Claude Desktop, or VS Code configuration and receive an explicit semantic loss/widening report:
uv run --frozen --extra dev mcp-trust portability validate \
tests/fixtures/portability/local-stdio.json uv run --frozen --extra dev mcp-trust portability round-trip \ tests/fixtures/portability/local-stdio.json --host codex
The studio is local-only. It never discovers or edits a real host config, launches an MCP server, contacts a URL, or emits modeled secret values. Generated configuration proves only documented host-format compatibility, not a runtime connection or adoption. See docs/MCP-CONFIG-PORTABILITY-STUDIO.md.
register a server -> scan via engine -> derive grade -> persist -> serve at a stable URL
The registry does not reimplement vulnerability detection. It orchestrates a pluggable scan engine -- the shipping backend wraps the public mcp-audits (>=2.7.0,<3) package -- and owns the catalog, the public trust-grade normalization, persistence, and the lookup API.
git clone https://github.com/saagpatel/mcp-trust.git
cd mcp-trust uv sync --frozen --extra dev
demo_dir="$(mktemp -d)" uv run --no-sync mcp-trust seed --db "$demo_dir/registry.db" env -u MCP_TRUST_RECEIPTS_DIR uv run --no-sync mcp-trust scan \ mcp-reference-time --engine stub --db "$demo_dir/registry.db" uv run --no-sync mcp-trust check mcp-reference-time --db "$demo_dir/registry.db"
After dependency installation, this demo uses only a new temporary SQLite database and the explicit StubEngine; it launches no catalog server and its grades are demo data. --db avoids the default database and any operator MCP_TRUST_DB override; clearing MCP_TRUST_RECEIPTS_DIR avoids writing into an operator receipt directory.
To view this demo through the local API, optionally start a loopback-only, read-only server and stop it with Ctrl-C when finished:
MCP_TRUST_ENGINE=stub MCP_TRUST_PUBLIC_READONLY=1 \
MCP_TRUST_MASKED_GRADES="$PWD/masked-grades.json" \ uv run --no-sync mcp-trust serve --db "$demo_dir/registry.db" \ --host 127.0.0.1 --port 8000
Real-engine scans require the separately prepared [engine] environment, reviewed target, sandbox decision, and current qualification/preflight evidence in the operator runbook. They can launch server processes or contact remote endpoints and are outside this local demo and routine verification. See local development and verification for fixture checks.
| Method | Path | Purpose |
|---|---|---|
GET | / | web -- public catalog page (grade + transparency per server) |
GET | /ui/servers/{slug} | web -- server detail page + README badge-embed snippet |
GET | /healthz | liveness |
GET | /servers | catalog + latest grade, provenance, and staleness per server (JSON) |
GET | /servers/{slug} | full latest scan record + provenance/staleness and metadata (JSON) |
POST | /servers/{slug}/scan | operator scan trigger; public deployments disable this route |
GET | /servers/{slug}/badge.json | shields.io-compatible README badge |
Every server has two orthogonal signals: a danger grade (A-F) and a transparency level (high/medium/low, from annotation coverage). Automated grades are not endorsements, certifications, or claims that a server is malicious. A low grade on a low-transparency server means "cannot verify safe," not "known dangerous."
HTTP scan triggering is fail-closed by default. Public deployments should set MCP_TRUST_PUBLIC_READONLY=1, which makes POST /servers/{slug}/scan return 403 before any engine can run. Operator scans should normally run through the CLI against the persistent registry DB, not through public traffic.
For local API demos with the deterministic StubEngine, set MCP_TRUST_ALLOW_UNAUTHENTICATED_STUB_SCANS=1. Do not set that in public. Token-gated API scan triggering is still available for private operator surfaces by setting MCP_TRUST_SCAN_TOKEN and passing it as Authorization: Bearer or X-MCP-Trust-Scan-Token.
If the newest stored scan row is unreadable, API, web, static, badge, and snapshot projections fail closed to UNKNOWN; they never resurrect an older grade. Stored source/risk/finding/evidence JSON has a 1 MiB per-field admission ceiling, with bounded finding/tool collections and content-free diagnostics. An unreadable older row leaves a readable latest grade intact but makes scan history and grade-change claims explicitly UNKNOWN. Snapshot construction stops until unreadable history is repaired or dispositioned.
All public surfaces use one fail-closed freshness projection. Exactly 90 days after a scan is still FRESH; any later instant is STALE. Missing, malformed, or future scan times are UNKNOWN, with verdict fields withheld. Unscanned entries are NOT_APPLICABLE. Operator masking applies even when no scan exists and is never inferred from scan state. Static pages and badges are immutable historical evidence with a scan date or validity boundary; they do not promise request-time freshness. Danger, transparency, and evidence quality remain separate signals, and a grade is never an endorsement.
Set MCP_TRUST_RECEIPTS_DIR=/data/mcp-trust/receipts during real scan runs to archive a JSON receipt for each scan and store its portable artifact filename in report_ref.
Remote Registry candidates can be checked for discoverable MCP authorization metadata without contacting the MCP endpoint or handling credentials. First build a candidate manifest from a previously saved official Registry response, then select one exact stable_id:
uv run python scripts/plan_registry_corpus.py \
--input path/to/saved-registry-response.json > /tmp/registry-candidates.json
uv run mcp-trust auth-posture com.example/remote@1.0.0 \ --manifest /tmp/registry-candidates.json \ --pretty
If a public WWW-Authenticate: Bearer challenge has already been obtained by a separate operator workflow, pass its value with --www-authenticate. Otherwise the command tries the MCP-required protected-resource well-known paths, followed by RFC 8414 and OpenID Connect authorization-server discovery in specification order.
The command emits McpAuthorizationPostureV1 JSON (contract 1.1.0, additive). It reads against the MCP 2026-07-28 authorization profile and still accepts servers that only meet 2025-11-25. Per authorization server it records whether RFC 9207 iss support is advertised, whether Client ID Metadata Documents are supported, and that the metadata issuer matched; a server that offers only Dynamic Client Registration (deprecated in 2026-07-28) gets a deprecated_registration note, not a failure. Exit 0 and state=metadata-ready mean only that at least one authorization server exposes the endpoints and PKCE S256 metadata needed for policy review. They do not prove authorization, credential availability, runtime security, scan eligibility, or a trust grade. Unknown or invalid evidence exits 1 and stays blocked; an invalid local manifest binding exits 2.
The network boundary is deliberately narrow: HTTPS metadata GETs only, no ambient proxies, redirects, credentials, endpoint session, or writes. DNS is resolved once per request; every answer must be globally routable, and the connection is pinned to an accepted address while TLS validation and SNI remain bound to the original hostname. Response bodies are size-bounded, validated, and represented in output only by byte count and SHA-256. Successful metadata