io.github.mishrasanjeev/agenticorg
NPM · AGENTICORG-MCP-SERVER · SCANNED AUG 3
AgenticOrg MCP server for AI agents, A2A discovery, SOP deploy, and MCP tool listing.
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 →
Supply Chain Security86
- No malware found by supply-chain analysis.Pass
- Only part of the dependency tree could be resolved (94 of 98), 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 (94 of 98), 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 (Apache-2.0).Pass
- Actively maintained (last published 49 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability71
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 490 tokens (~54/item across 9 items; 9 tools + 0 resources), lean.Pass
- 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.
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 · agenticorg-mcp-server
claude mcp add mishrasanjeev-agenticorg -- npx -y agenticorg-mcp-server
codex mcp add mishrasanjeev-agenticorg -- npx -y agenticorg-mcp-server
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"mishrasanjeev-agenticorg": {
"type": "local",
"command": [
"npx",
"-y",
"agenticorg-mcp-server"
],
"enabled": true
}
}
} openclaw mcp add mishrasanjeev-agenticorg --command npx --arg -y --arg agenticorg-mcp-server
mcp_servers:
mishrasanjeev-agenticorg:
command: "npx"
args: ["-y", "agenticorg-mcp-server"] {
"mcpServers": {
"mishrasanjeev-agenticorg": {
"command": "npx",
"args": [
"-y",
"agenticorg-mcp-server"
]
}
}
} 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 +43
- Provenance: unverified → fail ▼ security
- Install scripts: unverified → pass ▲ security
- Known CVEs: unverified → partial ▲ security
- Malware scan: unverified → pass ▲ security
- Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window). security
- License: unverified → pass ▲ functional
- Dependency health: unverified → partial ▲ functional
- Maintenance: unverified → pass ▲ functional
- MCP protocol: unverified → pass ▲ functional
- Schema quality: unverified → good ▲ functional
- Licence: Apache-2.0 functional
- 1 Aug 26 −7
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 31 Jul 26 −18
- Malware scan: pass → unverified ▼ security
- 30 Jul 26 +22
- Tool coverage: unverified → 100 ▲ functional
- 28 Jul 26 −22
- Tool coverage: 100 → unverified ▼ functional
- First check of Schema quality: unverified functional
- 27 Jul 26 46
First indexed and scored.
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 94 packages
94 packages in the resolved dependency tree · 94 deprecated · 29 stale.
The dependency tree was only partially resolved, so these counts may be incomplete.
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.
create_agent_from_sop ~76
Parse a Standard Operating Procedure (SOP) text and create a new AI agent from it. The SOP is analyzed to extract steps, tools, and decision logic.
| Name | Type | Req | Description |
|---|---|---|---|
| domain_hint | string | — | Domain hint: finance, hr, marketing, ops |
| sop_text | string | yes | The SOP document text to parse |
No output schema declared.
No examples provided.
deploy_agent ~43
Deploy an agent configuration (from SOP parsing or manual config) to make it live.
| Name | Type | Req | Description |
|---|---|---|---|
| config | object | yes | Agent configuration object (from create_agent_from_sop output) |
No output schema declared.
No examples provided.
discover_agents_a2a ~36
Discover available agent skills via A2A (Agent-to-Agent) protocol. Returns agent capabilities, input schemas, and domains.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
get_agent_card ~30
Get the A2A Agent Card — the public discovery document describing this AgenticOrg instance's capabilities.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
get_agent_details ~39
Get full details of a specific agent by ID, including config, tools, confidence thresholds.
| Name | Type | Req | Description |
|---|---|---|---|
| agent_id | string | yes | UUID of the agent |
No output schema declared.
No examples provided.
list_agents ~46
List all available AI agents. Optionally filter by domain (finance, hr, marketing, ops).
| Name | Type | Req | Description |
|---|---|---|---|
| domain | string | — | Filter by domain: finance, hr, marketing, ops |
No output schema declared.
No examples provided.
list_connectors ~56
List the AgenticOrg native connectors and their status. Note: connectors are NOT directly callable as MCP tools — see docs/mcp-product-model.md (we ship agents-as-tools, not connectors-as-tools). Use this for discovery only.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
list_mcp_tools ~61
List every AgenticOrg agent exposed as an MCP tool (naming: agenticorg_<agent_type>). Each entry has name, description, and inputSchema. Invoke with `run_agent` or call /api/v1/mcp/call directly.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
run_agent ~103
Run an AI agent by type (e.g. 'ap_processor', 'recon_agent', 'payroll_agent'). Returns the agent's output including confidence score and reasoning trace.
| Name | Type | Req | Description |
|---|---|---|---|
| action | string | — | Action to perform (default: 'process') |
| agent_type | string | yes | Agent type slug, e.g. 'ap_processor', 'recon_agent', 'support_triage' |
| inputs | object | — | Input data for the agent (key-value pairs) |
No output schema declared.
No examples provided.