Provides an outside-in validation gate for AI-generated text using a separate model to check outputs for accuracy and PII leaks.
Also known as mrhpython/lens-mcp, @soulfield/lens-mcp
- Stars
- 0
- Tools
- 10
- Downloads, 30 days
- —
- Latest version
- 1.1.1
- Last commit
- Nov 3, 2026
- License
- MIT
What is Soulfield Lens MCP?
Soulfield Lens provides an outside-in validation gate for AI-generated text using a separate model to check outputs for accuracy and PII leaks. It exposes 10 tools, such as validate_content, scrub_pii, lens_health.
Summary generated from the project's README
About Soulfield Lens MCP server
Soulfield Lens acts as an independent validation gate for text generated by AI models. Unlike standard workflows where a model evaluates its own work, this server uses a separate model to check outputs for accuracy and potential PII leaks. It operates as a local stdio boundary that communicates with the hosted Lens API at api.soulfield.one, ensuring that only the finished text is sent for review while keeping repository access on your local machine.
Developers can choose between two tiers of functionality. The gate tier provides tools like validate_content for general checks and scrub_pii for scanning structured identifiers like SSNs or API keys. The validator tier offers deeper local orchestration through tools like validate_artifact, which can perform consistency checks across multiple files. This tier requires the lens-kit library to function. The system is designed to be fail-closed, meaning any borderline or uncertain cases return an UNKNOWN status rather than a silent pass.
What you can do with it
- 1Verify AI output accuracyUse the gate tier to run an outside-in check on generated text to ensure it meets specific domain standards.
- 2Prevent sensitive data leaksScan text for structured secrets and personal identifiers like credit card numbers or database connection strings.
- 3Ensure cross-file consistencyCheck that numeric values in a summary match the data found in the original source files.
Written from the project's README. Every use case is checked against a quote from it.
How to install Soulfield Lens MCP
Formats verified 10 Nov 2026Install Soulfield Lens MCP in Claude Code
$ claude mcp add --env SOULFIELD_API_KEY=<YOUR_SOULFIELD_API_KEY> lens-mcp -- npx -y @soulfield/lens-mcpInstall Soulfield Lens MCP in Cursor
~/.cursor/mcp.json
{
"mcpServers": {
"lens-mcp": {
"command": "npx",
"args": [
"-y",
"@soulfield/lens-mcp"
],
"env": {
"SOULFIELD_API_KEY": "<YOUR_SOULFIELD_API_KEY>"
}
}
}
}Install Soulfield Lens MCP in VS Code
.vscode/mcp.json
{
"servers": {
"lens-mcp": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@soulfield/lens-mcp"
],
"env": {
"SOULFIELD_API_KEY": "<YOUR_SOULFIELD_API_KEY>"
}
}
}
}Install Soulfield Lens MCP in Claude Desktop
claude_desktop_config.json
{
"mcpServers": {
"lens-mcp": {
"command": "npx",
"args": [
"-y",
"@soulfield/lens-mcp"
],
"env": {
"SOULFIELD_API_KEY": "<YOUR_SOULFIELD_API_KEY>"
}
}
}
}Install Soulfield Lens MCP in Codex
~/.codex/config.toml
[mcp_servers.lens-mcp] command = "npx" args = ["-y", "@soulfield/lens-mcp"] [mcp_servers.lens-mcp.env] SOULFIELD_API_KEY = "<YOUR_SOULFIELD_API_KEY>"
Install Soulfield Lens MCP in Gemini CLI
~/.gemini/settings.json
{
"mcpServers": {
"lens-mcp": {
"command": "npx",
"args": [
"-y",
"@soulfield/lens-mcp"
],
"env": {
"SOULFIELD_API_KEY": "<YOUR_SOULFIELD_API_KEY>"
}
}
}
}Soulfield Lens MCP tools 10
Detected from the READMEvalidate_contentscrub_piilens_healthvalidate_artifactlens_consistency_leakslens_consistency_numberslens_consistency_markerslens_catches_relevantlens_catches_addlens_catches_stats
| validate_content | — | |
| scrub_pii | — | |
| lens_health | — | |
| validate_artifact | — | |
| lens_consistency_leaks | — | |
| lens_consistency_numbers | — | |
| lens_consistency_markers | — | |
| lens_catches_relevant | — | |
| lens_catches_add | — | |
| lens_catches_stats | — |
Configuration
SOULFIELD_API_KEYSecretAPI 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.
SOULFIELD_API_BASELens API base URL. Use https://api.soulfield.one for the hosted service.
| Name | Description | |
|---|---|---|
| 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. | Secret |
| SOULFIELD_API_BASE | Lens API base URL. Use https://api.soulfield.one for the hosted service. |
Automated checks
Ran Nov 13, 2026Full report →Passed our automated checks. That is not a security audit: read the code and give the server the narrowest access it needs. How checks work
- Source repository linked and reachablePass
- Open source license (OSI)Pass
- Commit or release in the last yearPass
- Package name not close to a popular packagePass
- Remote endpoint uses HTTPSNot checked
- Destructive tools are labelledPass
- No hidden instructions to the modelPass
- No critical advisory in the package or its dependenciesPass
README
View on GitHubSoulfield Lens — MCP server
Long jobs can use validation_submit followed by validation_receipt on a
fresh MCP connection. Save the returned job ID with the candidate SHA-256 locally.
Retrieve that ID after a polling timeout; do not submit the content again.
Pending, failed, expired and incomplete jobs confer no clearance. An uncertain
submission without a returned ID must not be automatically retried. The existing
validate_content tool is unchanged. See test/validation-jobs.test.cjs for
offline recovery and Rights-preservation fixtures.
Outside-in validation for AI-generated text, as an MCP tool.
Every AI tool asks the same model that wrote the answer whether it's any good. It says yes. The Soulfield Lens is outside-in: a separate model runs a fixed gate over your output. It checks text — it doesn't write it. This package puts that gate inside Claude Code, Cursor, and any other MCP-compatible agent, so output can be validated on the path where it's generated.
The gate is fail-closed: a borderline case returns UNKNOWN, never a silent pass. There is no generation step, so it can't fabricate claims of its own — only check. It can still be wrong about a judgment; that is exactly why borderline cases return UNKNOWN instead of a confident yes.
This is a local stdio boundary around the hosted Lens API (api.soulfield.one). It keeps repository access on the caller's machine and sends only the finished artifact text to the API gate. A scrub also sends the lines of your own identity file (LENS_PUBLIC_IDENTITY_FILE) that occur in that text, so they are not redacted.
It exposes two tiers. The gate tier (3 tools) needs nothing but an API key. The validator tier (7 tools) adds one local orchestration entry point plus the optional lens-kit cross-file checks and defect memory that the single-document gate cannot see. Skip local evidence inputs and the gate tier works exactly as before.
Try it before you install anything
The keyless demo endpoint runs the same gate — a few runs a day per IP, no signup:
curl -s https://api.soulfield.one/v1/demo \
-H 'content-type: application/json' \
-d '{"text": "<paste the AI output you are about to ship>"}'
Install
npm install -g @soulfield/lens-mcp
Or run without installing: npx @soulfield/lens-mcp.
Claude Code
claude mcp add soulfield-lens \
-e SOULFIELD_API_BASE=https://api.soulfield.one \
-e SOULFIELD_API_KEY=<your-key> \
-- npx @soulfield/lens-mcp
Any MCP client (JSON config)
{
"mcpServers": {
"soulfield-lens": {
"command": "npx",
"args": ["@soulfield/lens-mcp"],
"env": {
"SOULFIELD_API_BASE": "https://api.soulfield.one",
"SOULFIELD_API_KEY": "<your-key>"
}
}
}
}
Production calls need an API key — request one at hello@soulfield.one. lens_health works without one.
Tools
Gate tier — hosted API, works out of the box
| Tool | What it does | Auth |
|---|---|---|
validate_content |
Runs the outside-in gate over text. Returns pass/fail, score, per-dimension results, and violation details with reasoning. Optional domain (general, finance, marketing, legal, seo, agency) and context (audience/purpose). |
key |
scrub_pii |
Server-side scan for structured PII and secrets — emails, UK/US phone numbers, credit-card numbers, US SSNs, UK NI/UTR numbers, database connection strings, and common API-key/credential patterns. Returns scrubbed text (each match replaced by a type marker) plus findings. Pattern-based, no LLM call. Targets structured identifiers — it does not detect personal names or free-form PII, and structured-format coverage is best-effort, not exhaustive. | key |
lens_health |
Checks the Lens API is up. Returns status and version. | none |
Validator tier — local; consistency checks require lens-kit
Version note: the validator tier lands in 1.1.0. If
npm view @soulfield/lens-mcp versionstill reports1.0.0, the registry has not caught up with this repo yet andnpx @soulfield/lens-mcpwill give you the three gate-tier tools only. Install from source in the meantime.
Artifact orchestration:
validate_artifactlands in 1.2.0. Its bounded local evidence search is built into this MCP package. Requested consistency checks still requirelens-kit.
Side effect worth knowing: every validator-tier call appends a row to
RUNS.mdin its working directory — that is the kit's run ledger, by design. The directory is thecwdargument, or the server's own cwd if you omit it, so passcwdexplicitly if you care where the ledger lives. Sensitive flag values are redacted in the row (--deny <redacted>), so deny terms do not land on disk.
Prerequisite: pip install lens_kit (Apache-2.0, github.com/mrhpython/lens-kit), or set LENS_KIT_BIN to its path. Without it these six tools return UNKNOWN with an error — never a silent pass. No API key needed: they run locally and make no LLM call.
Why they run locally and not on the hosted API: they take file paths off your disk. A hosted endpoint that accepted arbitrary local paths would be a file-disclosure vector, not a feature. On stdio the paths are your own machine, so the capability is safe here and only here — and for that reason it will not be added to the hosted API.
| Tool | What it does | Exit semantics |
|---|---|---|
validate_artifact |
Reads one local artifact, searches only explicitly permitted evidence roots, runs requested consistency checks, and sends only the artifact text to the API gate. It labels the result gate-only or evidence-preflight+gate. A literal match is a source location, not proof; a separate validator agent must read and adjudicate it before issuing a full-validator verdict. |
consistency violation → FAIL; incomplete evidence/check error → UNKNOWN; otherwise PENDING_AGENT_REVIEW |
lens_consistency_leaks |
Scans files for deny-list terms (case-insensitive literal). Run on every customer-facing file before an irreversible publish: catches a real client name, an internal codename or a banned absolute surviving into shipped copy. A credential scanner will not find these, because nothing here is a credential. Negation-blind: a banned phrase quoted in order to disclaim it matches identically to the same phrase asserted. | hit proves the string is present — adjudicate the verdict |
lens_consistency_numbers |
Checks every numeric literal in a summary actually appears in the body it summarizes. Catches the invented figure. Tripwire: literal matching only, no derived arithmetic, and a figure cited as superseded ("supersedes the ~471 estimate") flags exactly like a stale one. Review, don't auto-trust. | violation / clean |
lens_consistency_markers |
Checks evidence markers in a source survive into every rendered output — the caveat or citation dropped between formats. Case-SENSITIVE, unlike leaks above: TRIPWIRE will not match Tripwire and reads as dropped when nothing was. Tripwire: a deliberate subset render also under-counts legitimately. |
violation / clean |
Choosing deny terms and markers. These three are tripwires, not oracles — on a live run over this project's own copy they produced six flags and zero true defects, across three distinct false-positive classes (negation, superseded-figure, casing). That is the designed behaviour, and it is why the doctrine is adjudicate, never auto-apply. Deny terms work best as strings that are wrong in every context — a real client name, an internal codename — rather than claims you do not make, which legitimately appear inside disclaimers. Markers work best when their casing is stable across source and render.
| lens_catches_relevant | Reads the defect bank before you validate: prior named defects for an artifact type, most-recurrent first. Patterns at threshold are marked [PROMOTE] — they recur often enough to deserve a fixed check. | — |
| lens_catches_add | Records a named defect so it is caught next time: what was wrong, the general pattern, the forward rule. Routine passes are rejected by design — only real defects. | — |
| lens_catches_stats | Per-pattern recurrence counts with promote suggestions. Tells you what to harden next. | — |
The two tiers are complementary, not alternatives. The gate has no tools and no file access — that is precisely what makes it an independent check, and it is also why it cannot see a contradiction spread across two files. The validator tier sees the disk; the gate owns the score. Pair them: gather substrate evidence with the local tools, hand the text to the gate, and never argue a gate FAIL into a PASS. Full protocol: docs/VALIDATOR-AGENT.md.
One local entry point
validate_artifact makes the boundary explicit in one call:
{
"artifact_path": "output/candidate.md",
"evidence_roots": ["reports", "output/proof"],
"evidence_queries": [
{
"claim": "measured-result",
"query": "113/113 rows scored",
"case_sensitive": true
}
],
"domain": "agency",
"context": "Internal technical handoff"
}
The response includes evidence_scope, files_read, searches_and_commands, claims_verified, and claims_unverified. claims_verified is deliberately empty: grep proves that text exists at a source location, not that the claim is true. The separate validator agent must read the located evidence, reason across the files, and attach the final full-validator receipt.
Evidence file contents and local absolute paths are never added to the API request. Directory searches skip .git, node_modules, symlinks, and binary files and fail closed when configured safety limits are exceeded.
What you get per run: receipts — what was checked, what passed, what was held, and why. Machine-readable, not a badge. We won't hand you a guaranteed accuracy number for your data: scores don't transfer across models, datasets, and runtimes, and a tool that promises a fixed figure on data it has never seen is making the exact claim this gate exists to catch.
Long inputs
Inputs of ~4,000 characters and up are submitted as an async job and polled to completion automatically, so a single long validation never dies on a request timeout. Short inputs use the fast synchronous path. No configuration needed.
Configuration (env vars)
| Variable | Default | Purpose |
|---|---|---|
SOULFIELD_API_BASE |
http://localhost:8002 |
Lens API base URL. Use https://api.soulfield.one for the hosted service, or your own deployment. |
SOULFIELD_API_KEY |
— | Required for validate_content and scrub_pii. |
SOULFIELD_VALIDATE_TIMEOUT_MS |
180000 |
Per-request timeout for the sync path. |
SOULFIELD_VALIDATE_BUDGET_MS |
600000 |
Total wall-clock budget for the async poll loop. |
SOULFIELD_ASYNC_MIN_CHARS |
4000 |
Input length at which the async path kicks in. |
LENS_KIT_BIN |
lens-kit |
Path to the lens-kit CLI for the validator tier. Only needed if it is not on PATH. |
LENS_KIT_TIMEOUT_MS |
120000 |
Timeout for a validator-tier command. On timeout the verdict is UNKNOWN, never a pass. |
LENS_CATCHES_DIR |
~/dev/tools/lens-kit |
Default working directory for the three lens_catches_* tools, so every catch lands in one catches.jsonl. A leading ~ is expanded. Falls back to the server's cwd if the directory does not exist. A cwd argument still wins. Catches can hold verbatim snippets, so catches.jsonl must stay out of git; the lens-kit repo ignores it. |
LENS_PUBLIC_IDENTITY_FILE |
~/.config/soulfield-lens/public-identity.txt |
Your own published details (name, postal address, contact email, phone), one per line. /v1/scrub calls send the lines that occur in the text as keep, so your own details are not redacted from your outgoing work; anyone else's still are. No file: nothing is kept. |
LENS_RECEIPT_DIR |
unset | When set, each gate result from validate_content, validate_artifact and a completed validation_submit job appends one line to <dir>/receipts.jsonl (text hash, domain, context, per-lens verdicts, findings with short quotes; no document text). A leading ~ is expanded. The text, scrubbed by POST /v1/scrub, goes to <dir>/private/docs/<sha256>.txt, and <dir>/private/.gitignore holds *. The line's context, issues and quotes are scrubbed by one more /v1/scrub call; quotes are cut to 300 characters after the scrub. If a scrub fails, that text is not saved (doc_status or findings_status says so). The scrub finds structured identifiers only; names survive it. A write failure never fails the validation. |
The rest of the product
This wrapper is one of several surfaces on the same engine:
- Free one-output audit — api.soulfield.one/audit. The audit is the demo.
- Wire it in (SDK stop-hook and middleware) — api.soulfield.one/developers.
- Own it — the kit: lenses, compiler, self-improve loop, validator agent, Apache-2.0. Train it on your own data. Public repo: github.com/mrhpython/lens-kit — clone it,
pip install -e ".[dev]", and the test suite runs offline with no key. Installing it is also what activates the validator tier above.
We hold our own marketing copy to the same gate this package exposes.
License
MIT — see LICENSE. (The lens-kit product is licensed separately under Apache-2.0.)
Soulfield Lens MCP questions
How do I add Soulfield Lens MCP to Claude Code?
Run claude mcp add --env SOULFIELD_API_KEY=<YOUR_SOULFIELD_API_KEY> lens-mcp -- npx -y @soulfield/lens-mcp in your terminal. Add --scope user to make it available in every project.
How do I add Soulfield Lens MCP to Cursor?
Open ~/.cursor/mcp.json and add the server under mcpServers, using the Cursor config shown in the install section above.
What tools does Soulfield Lens MCP provide?
It exposes 10 tools, including validate_content, scrub_pii, lens_health, validate_artifact, lens_consistency_leaks.
How does the validation process differ from standard LLM self-correction?
Unlike standard methods where a model checks its own work, Soulfield Lens uses a separate model to run a fixed gate over the output.
Does the server send my local files to the API?
No, the hosted API only receives the finished artifact text. Local file paths and evidence are handled locally to prevent file-disclosure vectors.
Can I use the tool without an API key?
Yes, the lens_health tool works without a key, and the keyless demo endpoint allows a few runs per day per IP.