Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/iblai/api/iblai-api-agent-chatnpx skills add iblai/api --skill iblai-api-agent-chatgit clone --depth 1 https://github.com/iblai/apiWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/iblai/api/iblai-api-agent-chat)<a href="https://agentmods.dev/skills/iblai/api/iblai-api-agent-chat"><img src="https://agentmods.dev/badge/skills/iblai/api/iblai-api-agent-chat.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00078 | $0.00736 |
| Opus 5 | $0.00039 | $0.00368 |
| Sonnet 5 | $0.00016 | $0.00147 |
| Haiku 4.5 | $0.00008 | $0.00074 |
Grade B, and why
iblai-api-agent-chat scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Reads MCP configurationmediumAgent snooping
mcp.json carries server URLs and auth tokens; reading it lets a mod discover and abuse other integrations.
description: Set up live chat with a deployed ibl.ai agent by wiring the hosted iblai-api-agent-chat MCP server into the project (.mcp.json / claude mcp add) using the .env Api-Token and a chosen agent's unique id. Use t How it starts
The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
iblai-api-agent-chat
Enable live chat with a deployed agent. Unlike the other iblai-* skills
(which call the REST API directly), runtime chat — streamed responses, tool use,
RAG — is served by the hosted iblai-api-agent-chat MCP server. This skill does
the one-time wiring so your assistant can talk to an agent; the conversation
itself then runs through that server's MCP tools.
When to use
- You want to converse with an agent (not configure it). For configuring agents
use the other
/iblai-api-agent-*skills; to find an agent'sunique_iduse/iblai-api-search.
What you need
IBLAI_API_KEY— your Platform API Token (from.env; run/iblai-api-loginif it is not set).- An agent's
unique_id— the agent to chat with. Get one from/iblai-api-search(each result'sunique_id), then confirm the choice with the user.
Setup
The server authenticates with two headers: Authorization: Api-Token <key> and
X-Mentor-Unique-Id: <unique_id> (one agent per connection).
Claude Code
claude mcp add iblai-api-agent-chat \
--transport http https://asgi.data.iblai.app/mcp/agent-chat/ \
--header "Authorization: Api-Token $IBLAI_API_KEY" \
--header "X-Mentor-Unique-Id: $MENTOR"
.mcp.json / Claude Desktop / Cursor
Add to the project's .mcp.json (or the client's MCP config). Substitute the real
token and unique_id — do not commit secrets:
{
"mcpServers": {
"iblai-agent-chat": {
"transport": "streamable-http",
"url": "https://asgi.data.iblai.app/mcp/agent-chat/",
"headers": {
"Authorization": "Api-Token YOUR_API_TOKEN",
"X-Mentor-Unique-Id": "YOUR_MENTOR_UNIQUE_ID"
}
}
}
}
After adding it, the assistant gains the server's chat tools — use those to send messages and receive the agent's streamed replies.
Notes
- One agent per connection —
X-Mentor-Unique-Idis fixed per server entry. To chat with several agents, add multiple named entries (e.g.iblai-api-agent-chat-tutor,iblai-api-agent-chat-advisor), each with its ownunique_id. - The token lives in client config /
.env— never commit it;.envand local MCP config should stay gitignored. - This is the only runtime surface in
iblai/api; everything else (configure, search, recommend, profile, analytics, admin) is a direct-REST skill.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago First seen · 75 lines · 78 tokens per session scan B 226181c6bd12
iblai-api-agent-chat is a skill published in the GitHub repository iblai/api (15 stars, last pushed 2d ago), licensed MIT. It adds 78 tokens to every session and 736 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it B with 1 finding (reads mcp configuration). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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