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LLMVerify MCP Server

by subodhkcio.github.subodhkc/llmverifyv1.8.0

Local-first MCP server for LLM output verification — risk signals, injection and PII checks.

18Node.jsstdioofficial registry

context tax

pending

security

92/100

cold start

pending

freshness

Active9d ago

Our reading of LLMVerify, from the data

LLMVerify is a ai & llm tools MCP server from subodhkc, listed in the official MCP Registry.

We haven't measured its tool list yet, so its token cost is unknown.

Maintenance is active: the last public signal was 9 days ago (2026-10-09). For comparison, 59% of ai & llm tools servers are active or maintained.

With 18 GitHub stars it ranks #390 of 3,169 ai & llm tools servers we index.

It runs locally on your machine over stdio and needs one secret (LLMVERIFY_AUDIT_HASH_KEY); use a scoped, least-privilege key.

Install LLMVerify MCP server

Install in Claude Code

claude mcp add llmverify -e LLMVERIFY_AUDIT_HASH_KEY='<llmverify-audit-hash-key>' -- npx -y llmverify mcp

Configuration

VariableRequiredSecretDescription
LLMVERIFY_MCP_MAX_INPUT_CHARS——Max characters accepted in a content/input argument
LLMVERIFY_MCP_TIMEOUT_MS——Per-tool wall-clock timeout in milliseconds
LLMVERIFY_MCP_MAX_OUTPUT_ITEMS——Cap on any single output array
LLMVERIFY_MCP_MAX_TEXT_FIELD_CHARS——Cap on any single text field in output
LLMVERIFY_HOME——Base directory for engine local state
LLMVERIFY_AUDIT_DIR——Audit JSONL directory
LLMVERIFY_LOG_DIR——Operational log directory
LLMVERIFY_BASELINE_DIR——Drift baseline directory
LLMVERIFY_USAGE_FILE——Usage counter file
LLMVERIFY_AUDIT_HASH_KEY—yesEnables keyed hmac-sha256 content hashes in audit records
LLMVERIFY_AUDIT_NO_CONTENT_HASH——Set to 1 to disable content hashes in audit records

Security signals

92/100 — no known issues found as of 2026-10-19, from the checks below. This is not a guarantee of safety; review what a server can do before connecting it.

Deductions

  • No license detected-5
  • No security policy (SECURITY.md)-3

Checks

  • ✓Repository hygiene (archived, activity, license, security policy)
  • ○Package metadata (install scripts, provenance) — pending
  • ○Tool descriptions (prompt-injection and hidden-text heuristics) — pending
  • ○Source scan (secrets, CVEs, risky code) by vectra-guard — pending

Scan it yourself before installing with vectra-guard, the open-source agent security CLI. Scoring rules

Freshness

Active — last maintenance signal 9d ago. The newest of the signals below sets the band.

  1. Last commit (default branch)

    2026-10-09 · 9d ago · GitHub

  2. Latest release

    no data · GitHub

  3. Package published

    no data · npm/PyPI

  4. Registry entry updated

    2026-10-09 · 9d ago · official registry · v1.8.0

How it compares in AI & LLM Tools

Against the most-starred ai & llm tools servers we index. Token cost is per model turn, measured from each server's live tool list.

ServerStarsToolsTokens / turnFreshnessRuns
LLMVerify (this)18—not measuredActivelocal
Memory91,356—not measuredActivelocal
Claude Flow76,638—not measuredActivelocal
Next AI Draw.io36,318—not measuredActivelocal
Serena Agent30,371—not measuredActivelocal
Trycua30,160—not measuredActive—
All ai & llm tools MCP servers

FAQ

›How do I install the LLMVerify MCP server in Claude Code?

Run: claude mcp add llmverify -e LLMVERIFY_AUDIT_HASH_KEY='<llmverify-audit-hash-key>' -- npx -y llmverify mcp. For Cursor, VS Code, Claude Desktop and Windsurf, use the install tabs above.

›Does LLMVerify require an API key?

Yes. It expects LLMVERIFY_AUDIT_HASH_KEY, of which 1 is a secret.

›Can I use LLMVerify as a remote (hosted) MCP server?

No hosted endpoint is published; it runs locally over stdio.

›Is LLMVerify in the official MCP registry?

Yes, as io.github.subodhkc/llmverify.

Sources and method

Official MCP Registry entry
updated 2026-10-09
GitHub repository
fetched 2026-10-19
Package registry (npm / PyPI)
listed
Last checked against all sources
2026-10-19

The description, packages and links come from the maintainer's own published metadata. Token cost, security signals, freshness and the reading above are MCPSkillHub's own measurements; see the methodology. Spot an error? Request a correction or claim the listing.

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