io.github.mishrasanjeev/agenticorg
NPM · AGENTICORG-MCP-SERVER · SCANNED SEP 22
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 → Why this is hard to score →
Supply Chain Security98
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- No install/post-install scripts declared.Pass
- 31 of 95 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency48
- 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 99 days ago).Pass
- Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability79
- AI-judged instruction clarity (excellent).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 Management100
- No destabilizing schema changes in the last 30 days.Pass
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; "deploy_agent" implies "deploy" 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 9 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
How do I install the io.github.mishrasanjeev/agenticorg MCP server?
io.github.mishrasanjeev/agenticorg runs locally as an npm package, launched with npx -y agenticorg-mcp-server. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · agenticorg-mcp-server
claude mcp add mishrasanjeev-agenticorg -- npx -y agenticorg-mcp-server
{
"mcpServers": {
"mishrasanjeev-agenticorg": {
"command": "npx",
"args": [
"-y",
"agenticorg-mcp-server"
]
}
}
} {
"servers": {
"mishrasanjeev-agenticorg": {
"command": "npx",
"args": [
"-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": {
"Transport": "stdio",
"Command": "npx",
"Arguments": [
"-y",
"agenticorg-mcp-server"
]
}
}
} assistant mcp add mishrasanjeev-agenticorg -t stdio -c npx -a -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.
- 22 Sept 26 +1
- Stability: 0.97 → pass security
- 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.
- 16 Sept 26 −3
- Stability: pass → 0.80 functional
- 15 Sept 26 +1
- Stability: 0.97 → pass security
- 13 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.
- 11 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.
- 9 Sept 26 −3
- Stability: pass → 0.80 functional
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 Sept 2026 · Analysed npm/agenticorg-mcp-server@4.0.5
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | npm |
Background: How many MCP packages publish verified provenance →
Dependencies 95 packages
| Packages resolved | 95 |
|---|---|
| Stale | 31 |
| 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 →
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.
What is the io.github.mishrasanjeev/agenticorg MCP server?
io.github.mishrasanjeev/agenticorg is an MCP server listed in the public MCP registry as io.github.mishrasanjeev/agenticorg. AgenticOrg MCP server for AI agents, A2A discovery, SOP deploy, and MCP tool listing. This page covers its npm package (agenticorg-mcp-server).
Is the io.github.mishrasanjeev/agenticorg MCP server safe to use?
io.github.mishrasanjeev/agenticorg scores 84 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 22 September 2026. It declares no install or post-install scripts. 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 io.github.mishrasanjeev/agenticorg MCP server expose?
io.github.mishrasanjeev/agenticorg exposes 9 tools: list_agents, run_agent, get_agent_details, create_agent_from_sop, deploy_agent, and 4 more. Their descriptions and schemas cost roughly 490 tokens of context every time the server is loaded.
Is the io.github.mishrasanjeev/agenticorg MCP server still maintained?
io.github.mishrasanjeev/agenticorg is still listed as active in the MCP registry. We last reached this channel on 22 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the io.github.mishrasanjeev/agenticorg MCP server under?
io.github.mishrasanjeev/agenticorg declares the Apache-2.0 licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.