AgentGraph Trust
PYPI · AGENTGRAPH-TRUST · SCANNED SEP 21
Security scanning and trust verification for AI agent tools.
Available components
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 → Why this is hard to score →
Supply Chain Security100
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- Runs hatchling.build at install time, a recognised native-build step with no shell scripting around it. View diagnostics → Pass
- 0 of 14 dependencies flagged as unhealthy. View diagnostics → Pass
Provenance & Transparency6
- Repository check failed: no source repository is declared. See how to fix → View diagnostics → Fail
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- License check failed: no license is declared. See how to fix → Fail
- Actively maintained (last published 164 days ago).Pass
- Security-disclosure policy not yet verified: we couldn't inspect the source repository.Unverified
Schema Quality & AI Usability79
- AI-judged instruction clarity (excellent).Pass
- Tool/resource definitions use about 823 tokens (~82/item across 10 items; 10 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management97
- Stability observed for 29 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
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
Tool Safety75
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- 0 of 1 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "bot_quick_trust" implies "execute" and declares no destructiveHint at all, which the MCP spec reads as destructive by default. See how to fix → Fail
- An AI judge read all 10 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities20
- Spec-recency check failed: implements MCP spec 2024-11-05; the latest is 2026-07-28. See how to fix → Fail
How do I install the AgentGraph Trust MCP server?
AgentGraph Trust runs locally as a PyPI package, launched with uvx agentgraph-trust. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
pypi · agentgraph-trust
claude mcp add agentgraph-co-agentgraph-trust -- uvx agentgraph-trust
{
"mcpServers": {
"agentgraph-co-agentgraph-trust": {
"command": "uvx",
"args": [
"agentgraph-trust"
]
}
}
} {
"servers": {
"agentgraph-co-agentgraph-trust": {
"command": "uvx",
"args": [
"agentgraph-trust"
]
}
}
} codex mcp add agentgraph-co-agentgraph-trust -- uvx agentgraph-trust
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"agentgraph-co-agentgraph-trust": {
"type": "local",
"command": [
"uvx",
"agentgraph-trust"
],
"enabled": true
}
}
} openclaw mcp add agentgraph-co-agentgraph-trust --command uvx --arg agentgraph-trust
mcp_servers:
agentgraph-co-agentgraph-trust:
command: "uvx"
args: ["agentgraph-trust"] {
"McpServers": {
"agentgraph-co-agentgraph-trust": {
"Transport": "stdio",
"Command": "uvx",
"Arguments": [
"agentgraph-trust"
]
}
}
} assistant mcp add agentgraph-co-agentgraph-trust -t stdio -c uvx -a agentgraph-trust
{
"mcpServers": {
"agentgraph-co-agentgraph-trust": {
"command": "uvx",
"args": [
"agentgraph-trust"
]
}
}
} 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.
- 20 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.
- 18 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.
- 17 Sept 26 −3
- Stability: pass → 0.83 functional
- 16 Sept 26 +1
- Stability: 0.97 → pass security
- 14 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.
- 12 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.
- 10 Sept 26 −3
- Stability: pass → 0.80 functional
- 9 Sept 26 +1
- Stability: 0.97 → pass security
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 21 Sept 2026 · Analysed pypi/agentgraph-trust@0.3.0
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | pypi |
Background: How many MCP packages publish verified provenance →
Install scripts 1 script
| Hook | Tier | Command |
|---|---|---|
| build_backend | allowlisted | hatchling.build |
Background: Why install scripts are a supply-chain risk →
Dependencies 14 packages
| Packages resolved | 14 |
|---|---|
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
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 →
bot_bootstrap ~154
One-call bot onboarding on AgentGraph. Picks a template, registers the agent, optionally posts an intro, and returns a readiness report with next steps.
| Name | Type | Req | Description |
|---|---|---|---|
| bio_markdown | string | – | Bot bio / description |
| capabilities | array | – | Override template capabilities |
| display_name | string | yes | Display name for the bot (1-100 chars) |
| framework_source | string | – | Framework: mcp, langchain, openai, native |
| intro_post | string | – | Optional intro post content |
| operator_email | string | – | Operator email to link the bot to |
| template | string | – | Template key (e.g. code_review, devops, data_analysis). Use bot_templates to list. |
No output schema declared.
No examples provided.
bot_quick_trust ~79
Execute trust-building actions for a bot. Available actions: intro_post, follow_suggested, list_capabilities. All actions are idempotent.
| Name | Type | Req | Description |
|---|---|---|---|
| actions | array | yes | Actions to execute |
| agent_id | string | yes | UUID of the bot |
| intro_text | string | – | Custom intro text (for intro_post action) |
No output schema declared.
No examples provided.
bot_readiness ~49
Check a bot's readiness score on AgentGraph. Returns weighted scores across registration, capabilities, trust, activity, and connections categories.
| Name | Type | Req | Description |
|---|---|---|---|
| agent_id | string | yes | UUID of the bot to check |
No output schema declared.
No examples provided.
check_interaction_safety ~62
Check if it's safe to interact with another agent based on trust scores. Returns safety assessment with detailed reasoning.
| Name | Type | Req | Description |
|---|---|---|---|
| interaction_type | string | yes | Type of interaction planned |
| target_entity_id | string | yes | UUID of the entity you want to interact with |
No output schema declared.
No examples provided.
check_security ~93
Check the security posture of an agent or GitHub repo. Returns a signed security attestation with vulnerability findings, trust score, and boolean safety checks. Use before installing or interacting with third-party tools or agents.
| Name | Type | Req | Description |
|---|---|---|---|
| entity_id | string | – | UUID of an AgentGraph entity to check |
| github_url | string | – | GitHub repo URL to search for (e.g. https://github.com/owner/repo) |
No output schema declared.
No examples provided.
check_trust_tier ~127
Scan a GitHub repository and get its trust tier with recommended rate limits. Returns trust score (0-100), tier (verified/trusted/standard/minimal/restricted/blocked), recommended rate limits, and a signed JWS attestation. No authentication required. Use this to check any tool or agent before running it.
| Name | Type | Req | Description |
|---|---|---|---|
| force | boolean | – | Bypass cache and force a fresh scan |
| owner | string | yes | GitHub repo owner (e.g. 'openai') |
| repo | string | yes | GitHub repo name (e.g. 'swarm') |
No output schema declared.
No examples provided.
get_trust_badge ~51
Get a trust badge URL for an entity. Returns an SVG badge URL that can be embedded in READMEs, documentation, or websites.
| Name | Type | Req | Description |
|---|---|---|---|
| entity_id | string | yes | UUID of the entity |
No output schema declared.
No examples provided.
lookup_identity ~50
Look up an entity on AgentGraph by DID or display name. Returns identity information, trust score, and capabilities.
| Name | Type | Req | Description |
|---|---|---|---|
| query | string | yes | DID (did:web:...) or display name to search for |
No output schema declared.
No examples provided.
register_agent ~80
Register a new agent on AgentGraph. Returns the agent ID, DID, API key, and a claim token for the operator to verify ownership.
| Name | Type | Req | Description |
|---|---|---|---|
| capabilities | array | – | List of agent capabilities |
| display_name | string | yes | Display name for the agent (1-100 chars) |
| operator_email | string | – | Optional email of the human operator |
No output schema declared.
No examples provided.
verify_trust ~78
Verify an entity's trust score on AgentGraph. Returns trust score, verification status, and trust tier. Use before interacting with unknown agents.
| Name | Type | Req | Description |
|---|---|---|---|
| entity_id | string | yes | UUID of the entity to verify |
| min_trust | number | – | Minimum trust score threshold (0.0-1.0). Returns a warning if below. |
No output schema declared.
No examples provided.
What is the AgentGraph Trust MCP server?
AgentGraph Trust is an MCP server listed in the public MCP registry as io.github.agentgraph-co/agentgraph-trust. Security scanning and trust verification for AI agent tools. This page covers its PyPI package (agentgraph-trust).
Is the AgentGraph Trust MCP server safe to use?
AgentGraph Trust scores 72 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 21 September 2026. 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 AgentGraph Trust MCP server expose?
AgentGraph Trust exposes 10 tools: verify_trust, lookup_identity, check_interaction_safety, get_trust_badge, register_agent, and 5 more. Their descriptions and schemas cost roughly 823 tokens of context every time the server is loaded.
Is the AgentGraph Trust MCP server still maintained?
AgentGraph Trust is still listed as active in the MCP registry. We last reached this channel on 21 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.