Lens MCP runs on your own machine — the client starts it, so there is no endpoint to ping. 39 installs a week from npm. Last commit 28 Aug 2026.
Outside-in validation gate for AI-generated text; a separate model checks LLM output, fail-closed.
We read the source, 19 h 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.
child = spawn(KIT_BIN, args, {
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
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.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add lens-mcp -- npx -y @soulfield/lens-mcp
{
"mcpServers": {
"lens-mcp": {
"args": [
"-y",
"@soulfield/lens-mcp"
],
"command": "npx"
}
}
}
[mcp_servers.lens-mcp]
command = "npx"
args = ["-y", "@soulfield/lens-mcp"]
{
"mcpServers": {
"lens-mcp": {
"args": [
"-y",
"@soulfield/lens-mcp"
],
"command": "npx"
}
}
}
{
"mcpServers": {
"lens-mcp": {
"args": [
"-y",
"@soulfield/lens-mcp"
],
"command": "npx"
}
}
}
This one needs environment variables set before it will start:
SOULFIELD_API_BASE (Lens API base URL. Use https://api.soulfield.one for the hosted service.), SOULFIELD_API_KEY (API key for validate_content and scrub_pii. Get one free, self-serve, no card, at https://api.soulfield.one/pricing#signup. lens_health needs no key.).
The author declared them in the registry entry; get the values from the project itself.
Document tooling for AI agents: PDF/text reading, chunking, schema-validated JSON output.
Fail-closed MCP adapter for untrusted model output over a local Tkach runtime.
Kling AI video generation MCP server for Model Context Protocol hosts
Hallucination validator and factual grounding checker for LLM outputs.
Fail-closed deterministic checks and hash-chained receipts for AI agent outputs via MCP.
Napkin AI visual generation MCP server for Model Context Protocol hosts
Structured-output enforcer: extract and validate JSON from messy LLM text.
Output quality control and validation for AI agents
Answers built from our own checks of this server.