Agent Prompt Injection Firewall MCP is listed as active in the registry but did not answer our last check. 269 installs a week from pypi.
The WAF for agents. Pattern-based + heuristic firewall scans prompts, RAG documents, tool argume...
The linked repository no longer exists on GitHub — it was deleted or made private.
We have not read this server's code yet, 2 d ago · rules 3dff92dd89df
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
этот файл ставится пользователю, но в репозитории его нет
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We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 8 min ago.
claude mcp add agent-prompt-injection-firewall-mcp --transport http https://api.meok.ai/v1/a2a/prompt-injection-firewall
{
"mcpServers": {
"agent-prompt-injection-firewall-mcp": {
"url": "https://api.meok.ai/v1/a2a/prompt-injection-firewall"
}
}
}
[mcp_servers.agent-prompt-injection-firewall-mcp]
url = "https://api.meok.ai/v1/a2a/prompt-injection-firewall"
{
"mcpServers": {
"agent-prompt-injection-firewall-mcp": {
"url": "https://api.meok.ai/v1/a2a/prompt-injection-firewall"
}
}
}
{
"mcpServers": {
"agent-prompt-injection-firewall-mcp": {
"url": "https://api.meok.ai/v1/a2a/prompt-injection-firewall"
}
}
}
| URL | Transport | State | Latency | Checked |
|---|---|---|---|---|
| https://api.meok.ai/v1/a2a/prompt-injection-firewall | streamable-http | answering | 20 ms | 8 min ago |
Local FAISS vector database for RAG with document ingestion, semantic search, and MCP prompts.
130+ QA & dev tools for AI agents: prompt injection, RAG testing, VLM eval, guardrails. Free.
Ingest, manage, and retrieve documents for RAG-powered AI applications
Classify documents, extract structured fields, mask PII, export JSONL/RAG datasets for AI agents.
Local, privacy-first document catalogue for AI agents: metadata-only discovery, no cloud, no RAG.
Manage your Mistral platform — models, files, batch jobs, agents and RAG document libraries.
Sync public web sources into cited context packs for AI agents, RAG, and MCP clients.
Agent-first resource directory for AI agents: protocols, security, RAG, memory, evals, and more.
Answers built from our own checks of this server.