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Honesty MCP | One server that gives AI assistants tools for checking citations, evidence, claims, and decisions. Requires the sibling kit repositories.

MCP ServersOfficial Registry0 stars0 forks● TypeScriptMITUpdated today
ClaudeWave Trust Score
95/100
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  • ✓Open-source license (MIT)
  • ✓Actively maintained (<30d)
  • ✓Clear description
  • ✓Topics declared
  • ✓Documented (README)
Last scanned: 9/29/2026
Install in Claude Code / Claude Desktop
Method: NPX · honesty-mcp
Claude Code CLI
claude mcp add honesty-mcp -- npx -y honesty-mcp
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "honesty-mcp": {
      "command": "npx",
      "args": ["-y", "honesty-mcp"]
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
Use cases

MCP Servers overview

# honesty-mcp

An MCP (Model Context Protocol) server that exposes eleven already-built,
zero-runtime-dependency "honesty SDK" TypeScript libraries as tools any
MCP-compatible coding agent (Claude Code, Claude Desktop, or any other MCP
client) can call while building or auditing a product — grounded-citation
checking, evidence corroboration grading, payout/mutation-invariance checks
(scenario-tested, not a formal proof for every possible input), trust/
authenticity scoring, provenance-claim validation, a claims registry, a
tamper-evident audit chain, and recommendation/decision grading plus
engine-vs-human divergence, plus scaffolding for two runtime-library kits
that don't fit the "check this content" shape.

This server is thin by design: every tool is a Zod input schema plus a
handler that imports and calls the real, unmodified export from the wrapped
kit. It does not reimplement any of the underlying logic.

## Install

`honesty-mcp` is published on npm and wraps its eleven sibling "honesty SDK"
kits as ordinary registry dependencies (semver ranges, not local `file:`
paths) — `npm install` (or a plain `npx`) resolves everything from the
public registry, with nothing else to check out first.

The fastest way to run it, with no install step at all:

```bash
npx honesty-mcp
```

Or add it to a project:

```bash
npm install honesty-mcp
```

### Adding it to an MCP client

Claude Code:

```bash
claude mcp add honesty-mcp -- npx -y honesty-mcp
```

Any other MCP client that reads an `mcpServers` config (Claude Desktop's
`claude_desktop_config.json` uses the same shape):

```json
{
  "mcpServers": {
    "honesty-mcp": {
      "command": "npx",
      "args": ["-y", "honesty-mcp"]
    }
  }
}
```

The server runs on the **stdio transport** — it reads JSON-RPC requests
from stdin and writes responses to stdout, logging only a one-line startup
banner to stderr so stdout stays a clean JSON-RPC channel. This is the
transport Claude Code, Claude Desktop, and most local/CLI MCP client
integrations expect for a locally-run server; it is not an HTTP server and
has no port to browse to.

### Listing in the MCP registry

`honesty-mcp` also ships a `server.json` (validated against the official
schema) so it can be listed on the
[official MCP registry](https://github.com/modelcontextprotocol/registry),
under the name `io.github.lkopietz3-byte/honesty-mcp`. Listing is a manual,
one-time step the maintainer runs after this package is on npm — it is
**not** run as part of this repo's CI or `npm publish`. Exact commands,
from the registry's own docs
([publishing guide](https://github.com/modelcontextprotocol/registry/blob/main/docs/modelcontextprotocol-io/quickstart.mdx),
[CLI reference](https://github.com/modelcontextprotocol/registry/blob/main/docs/reference/cli/commands.md)):

```bash
# 1. Install the publisher CLI (macOS/Linux)
curl -L "https://github.com/modelcontextprotocol/registry/releases/latest/download/mcp-publisher_$(uname -s | tr '[:upper:]' '[:lower:]')_$(uname -m | sed 's/x86_64/amd64/;s/aarch64/arm64/').tar.gz" | tar xz mcp-publisher
sudo mv mcp-publisher /usr/local/bin/

# 2. Log in with GitHub (proves ownership of the io.github.lkopietz3-byte namespace)
mcp-publisher login github

# 3. Publish (validates server.json against the schema, then submits it)
mcp-publisher publish
```

`package.json`'s `mcpName` field (`io.github.lkopietz3-byte/honesty-mcp`)
must match `server.json`'s `name` field exactly — that's how the registry
verifies the npm package and the registry listing belong to the same
publisher (see
[package-types.mdx, "Ownership Verification"](https://github.com/modelcontextprotocol/registry/blob/main/docs/modelcontextprotocol-io/package-types.mdx)).

## Tools

**9 content-checking tools' worth of kits, 12 tools** (kits 1–9 — hand one
of these real content or data, get back a structured verdict):

| Tool | Wraps | One-line purpose |
|---|---|---|
| `check_grounding` | grounding-kit | Detects ungrounded or forged citations in AI-generated text, sentence by sentence. |
| `corroborate_evidence` | corroboration-kit | Grades confidence in a claim from independent evidence signals — not a vote count. |
| `check_payout_invariance` | payout-invariance-kit | Checks, for the scenarios you supply, whether a ranking engine's output changes with who pays more (`runtime` mode) or whether payout identifiers appear in its source at all (`static-imports` mode). Not a formal proof for every possible payout configuration. |
| `check_mutation_invariance` | mutation-invariance-kit | Checks, for the scenarios you supply, whether a decision/score/ranking function's output depends on a variable it claims not to (protected attribute, geography, price, or anything you name). Not a formal proof for every possible input. |
| `score_trust_identified` | trust-core (`identified`) | Scores an entity from known, identified contributors (reviewer accounts, raters, inspectors). |
| `assess_anonymous_authenticity` | trust-core (`anonymous`) | Scores unattributed/scraped sentiment on how organic it looks, with a heuristic discount for two specific manipulation patterns (source concentration, suspiciously uniform sentiment) — not a fraud detector. |
| `check_provenance_claims` | provenance-kit | Flags certainty-implying language ("(verified)", "guaranteed") not backed by an appropriate provenance tier. |
| `check_claims_registry` | claims-registry-kit | Buckets public-facing claims as current / stale / unverified against their linked evidence and last-verified date. |
| `append_audit_entry` | audit-chain-kit | Appends one entry to a hash-chained, tamper-evident audit log. |
| `verify_audit_chain` | audit-chain-kit | Independently re-verifies a hash chain from genesis; detects mutation and severed links unconditionally, plain tail deletion with `expectedMinLength`, and truncate-and-re-append (or a full rewrite) only with `anchor` — `expectedMinLength` alone does NOT catch a truncate-and-re-append. |
| `grade_decision` | advice-ledger-kit | Grades one recommendation-and-decision pair against a before/after observation log — exposure-aligned, with separate floors per window and machine-readable refusal codes. `holding` requires both the exposed bad count to stay under `refuteThreshold` AND its bad rate to not exceed the baseline's (exact comparison, not the rounded `badRate`); either failing is `not-holding` (see the tool description). |
| `compute_divergence` | advice-ledger-kit | Measures how often an engine and a human disagreed, and where a later outcome exists, reports engine-right/human-right as separate, never-blended counts. |

**2 scaffolding tools** (agent-receipt-kit, cost-governor-kit — these are
runtime libraries a project *installs and imports into its own running
code*, not something checked on-demand the same way; see the code comments
in `src/tools/agentReceiptScaffold.ts` / `costGovernorScaffold.ts` for why a
"check this content" shape would misrepresent them):

| Tool | Wraps | One-line purpose |
|---|---|---|
| `scaffold_agent_receipts` | agent-receipt-kit | Explains the issue-a-packet / verify-the-claim authorization pattern for AI agents, with an install step, a starter snippet, and (optionally) a live accepted/rejected worked example run against the real kit. |
| `scaffold_cost_governor` | cost-governor-kit | Explains the estimated pre-call spend check + cache-aware pricing math (default 0.1x cache-read rate, overridable per model via `cacheReadPerMillion`) + advisory (not concurrency-safe) check-then-commit usage-counting pattern (a commit failure after a successful call returns `commitError` instead of discarding the result), with an install step, a starter snippet, and (optionally) a live worked example. |

That's 9 kits, 12 content-checking tool slots (payout-invariance-kit,
audit-chain-kit, and advice-ledger-kit each got 2 tools instead of 1, since
each bundles two genuinely distinct operations — runtime check vs. static
grep; append vs. verify; grading one decision vs. measuring divergence
across a whole population — that read better as separate, single-purpose
MCP tools than as one tool with a mode switch) plus 2 scaffolding tools =
**14 tools total**.

### A note on the code-execution tools

`check_payout_invariance` (runtime mode) and `check_mutation_invariance`
both wrap kit functions whose real signature takes an actual JavaScript
**function** (a ranking function, a mutation closure) — there is no way to
represent a function as MCP JSON arguments. Both tools accept that function
as a **source-code string** and build the real function via the `Function`
constructor (`src/lib/buildFunction.ts`) before calling the unmodified kit
export with it. `compute_divergence`'s optional `config.groupBySource` uses
the same mechanism for advice-ledger-kit's `groupBy` config function, but
only when a caller actually supplies it — omitting it (the common case)
needs no code execution at all, since the library's own default groups by
each pair's `group` field. This is equivalent to `eval` for that one
string. It is appropriate here because this is a local, stdio-only dev tool
a coding agent runs against its own project's code — the same trust model
as that agent running `node -e`, `vitest run`, or any other local
code-execution tool — and it is **not** designed to be exposed to
untrusted, remote, or adversarial input. Don't wire this server up to
accept tool arguments from anyone other than the trusted local agent
driving it.

**All three of these run inside a `worker_threads` Worker with a bounded
timeout** (`src/lib/runFunctionJob.ts`), not on the server's own main
thread. Earlier versions called the built function synchronously in-process,
so a `while (true) {}` source string would block the *entire* stdio server
forever — every other in-flight or future tool call along with it. Now, if
the worker doesn't finish within the timeout (default **10 seconds**,
override with the `HONESTY_MCP_WORKER_TIMEOUT_MS` environment variable,
developer-toolsevidence-managementmcp-servertypescript

What people ask about honesty-mcp

What is lkopietz3-byte/honesty-mcp?

+

lkopietz3-byte/honesty-mcp is mcp servers for the Claude AI ecosystem. Honesty MCP | One server that gives AI assistants tools for checking citations, evidence, claims, and decisions. Requires the sibling kit repositories. It has 0 GitHub stars and its last recorded update is dated 2026-09-28.

How do I install honesty-mcp?

+

You can install honesty-mcp by cloning the repository (https://github.com/lkopietz3-byte/honesty-mcp) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is lkopietz3-byte/honesty-mcp safe to use?

+

Our security agent has analyzed lkopietz3-byte/honesty-mcp and assigned a Trust Score of 95/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.

Who maintains lkopietz3-byte/honesty-mcp?

+

lkopietz3-byte/honesty-mcp is maintained by lkopietz3-byte. The last recorded GitHub activity is dated 2026-09-28, with 0 open issues.

Are there alternatives to honesty-mcp?

+

Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.

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