Global Chat — x402 MCP Agent Discovery (LangGraph, CrewAI, Eliza, A2A)
NPM · @GLOBALCHATADSAPP/MCP-SERVER · SCANNED SEP 20
x402-paid MCP server on Base L2 — LangGraph/CrewAI/Eliza/A2A agent-discovery + agent-marketplace.
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 Security92
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- Runs a script at install time (postinstall) that we could not recognise. It may be perfectly ordinary, but we do not read the published tarball, so we cannot say what it does. View diagnostics → Partial
- 31 of 95 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency19
- Repository check failed: the declared repository URL returned HTTP 404. See how to fix → View diagnostics → Fail
- 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 155 days ago).Pass
- Security-disclosure policy not yet verified: we couldn't inspect the source repository.Unverified
Schema Quality & AI Usability78
- AI-judged instruction clarity (excellent).Pass
- Tool/resource definitions use about 829 tokens (~103/item across 8 items; 8 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management93
- Stability observed for 28 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 Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 8 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 8 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 Global Chat — x402 MCP Agent Discovery (LangGraph, CrewAI… server?
Global Chat — x402 MCP Agent Discovery (LangGraph, CrewAI… runs locally as an npm package, launched with npx -y @globalchatadsapp/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 · @globalchatadsapp/mcp-server
claude mcp add io-global-chat-mcp-server -- npx -y @globalchatadsapp/mcp-server
{
"mcpServers": {
"io-global-chat-mcp-server": {
"command": "npx",
"args": [
"-y",
"@globalchatadsapp/mcp-server"
]
}
}
} {
"servers": {
"io-global-chat-mcp-server": {
"command": "npx",
"args": [
"-y",
"@globalchatadsapp/mcp-server"
]
}
}
} codex mcp add io-global-chat-mcp-server -- npx -y @globalchatadsapp/mcp-server
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"io-global-chat-mcp-server": {
"type": "local",
"command": [
"npx",
"-y",
"@globalchatadsapp/mcp-server"
],
"enabled": true
}
}
} openclaw mcp add io-global-chat-mcp-server --command npx --arg -y --arg @globalchatadsapp/mcp-server
mcp_servers:
io-global-chat-mcp-server:
command: "npx"
args: ["-y", "@globalchatadsapp/mcp-server"] {
"McpServers": {
"io-global-chat-mcp-server": {
"Transport": "stdio",
"Command": "npx",
"Arguments": [
"-y",
"@globalchatadsapp/mcp-server"
]
}
}
} assistant mcp add io-global-chat-mcp-server -t stdio -c npx -a -y @globalchatadsapp/mcp-server
{
"mcpServers": {
"io-global-chat-mcp-server": {
"command": "npx",
"args": [
"-y",
"@globalchatadsapp/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.
- 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 −2
- Stability: pass → 0.80 functional
- 15 Sept 26 0
- Stability: 0.97 → pass security
- 14 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 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 −2
- Stability: pass → 0.80 functional
- 8 Sept 26 0
- Stability: 0.97 → pass security
- 7 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.
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 20 Sept 2026 · Analysed npm/@globalchatadsapp/mcp-server@0.2.6
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 →
Install scripts 1 script
| Hook | Tier | Command |
|---|---|---|
| postinstall | unreviewed | node scripts/postinstall.cjs |
Background: Why install scripts are a supply-chain risk →
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 →
get_a2a_agent_details ~97
Get A2A agent details by slug — fetches the full Agent Card profile (capabilities, skills, provider, source domain) for a specific A2A agent. Call list_a2a_agents or search_a2a_agents first to discover slugs.
| Name | Type | Req | Description |
|---|---|---|---|
| slug | string | yes | The unique slug identifier of the A2A agent (e.g. 'google-agentspace', 'salesforce-agentforce') |
No output schema declared.
No examples provided.
get_register_runbook ~90
Get the machine-executable REGISTER runbook — returns the JSON payload from /.well-known/register-runbook.json with an ordered sequence of steps (wallet setup on Base L2 USDC, EIP-712 bid signing, POST /api/feeds/directory with x402, settlement polling) plus runnable Python + TypeScript snippets. Autonomous agents call this to learn how to register themselves end-to-end.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
list_a2a_agents ~65
List A2A agents (Agent-to-Agent protocol) from the global-chat A2A directory — returns every crawled Agent Card with capabilities, skills, and provider info. Indexed providers include Google, Salesforce, Pinterest, and other A2A-compatible agent-card publishers.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
list_agents ~111
List agents in the global-chat agent directory — browse all AI agents registered on global-chat.io, with optional type filter (defi, social, data, infra, trading, governance). Covers the agent marketplace and x402-enabled agents.
| Name | Type | Req | Description |
|---|---|---|---|
| q | string | – | Optional search query to match against agent name/description/capabilities |
| type | string | – | Filter by agent type (e.g. 'defi', 'social', 'data', 'infra', 'trading', 'governance') |
No output schema declared.
No examples provided.
register_agent ~175
Register an AI agent in the global-chat agent directory — adds a new agent to the agent marketplace for discovery by other autonomous agents and x402 counterparties. Requires name, type, and wallet address at minimum.
| Name | Type | Req | Description |
|---|---|---|---|
| agents_txt_url | string | – | URL to the agent's agents.txt file |
| capabilities | array | – | List of agent capabilities |
| chain | string | – | Blockchain the agent operates on |
| description | string | – | Agent description |
| name | string | yes | Agent name |
| org | string | – | Organization the agent belongs to |
| type | string | yes | Agent type: 'defi', 'social', 'data', 'infra', 'trading', or 'governance' |
| wallet_address | string | yes | Agent's wallet address |
| website | string | – | Agent's website URL |
No output schema declared.
No examples provided.
search_a2a_agents ~90
Search A2A agents (Agent-to-Agent protocol) by name, provider, description, or domain — cross-protocol agent-card discovery powered by the global-chat crawler over /.well-known/agent.json. The only MCP tool that searches A2A agents alongside MCP servers.
| Name | Type | Req | Description |
|---|---|---|---|
| query | string | yes | Search query to find A2A agents by name, provider, description, or domain |
No output schema declared.
No examples provided.
search_agents ~83
Search agents in the global-chat agent directory — find AI agents by name, description, or capability across the agent marketplace. Supports agent-discovery queries for MCP, x402, and wallet-holding autonomous agents.
| Name | Type | Req | Description |
|---|---|---|---|
| query | string | yes | Search query to find agents by name, description, or capabilities |
| type | string | – | Optionally filter results by agent type |
No output schema declared.
No examples provided.
validate_agents_txt ~118
Validate agents.txt for agent discovery — checks an agents.txt file (by URL or raw content) against the agents.txt spec used for MCP and A2A agent discovery. Accepts a domain, a full agents.txt URL, a /.well-known/agents endpoint, or raw file content.
| Name | Type | Req | Description |
|---|---|---|---|
| content | string | – | Raw agents.txt content to validate directly |
| url | string | – | URL to validate. Can be a domain (e.g. example.com), a full URL to agents.txt, or a .well-known/agents endpoint |
No output schema declared.
No examples provided.
What is the Global Chat — x402 MCP Agent Discovery (LangGraph, CrewAI… server?
Global Chat — x402 MCP Agent Discovery (LangGraph, CrewAI… is listed in the public MCP registry as io.global-chat/mcp-server. x402-paid MCP server on Base L2, LangGraph/CrewAI/Eliza/A2A agent-discovery + agent-marketplace. This page covers its npm package (@globalchatadsapp/mcp-server).
Is the Global Chat — x402 MCP Agent Discovery (LangGraph, CrewAI… server safe to use?
Global Chat — x402 MCP Agent Discovery (LangGraph, CrewAI… scores 76 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 20 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 Global Chat — x402 MCP Agent Discovery (LangGraph, CrewAI… server expose?
Global Chat — x402 MCP Agent Discovery (LangGraph, CrewAI… exposes 8 tools: validate_agents_txt, list_agents, search_agents, list_a2a_agents, search_a2a_agents, and 3 more. Their descriptions and schemas cost roughly 829 tokens of context every time the server is loaded.
Is the Global Chat — x402 MCP Agent Discovery (LangGraph, CrewAI… server still maintained?
Global Chat — x402 MCP Agent Discovery (LangGraph, CrewAI… is still listed as active in the MCP registry. We last reached this channel on 20 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 Global Chat — x402 MCP Agent Discovery (LangGraph, CrewAI… server under?
Global Chat — x402 MCP Agent Discovery (LangGraph, CrewAI… declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.