Context7
by upstash
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Computer or cloud★ 64,224MITUpdated yesterday
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Truthroute
Overview
Description from the maker (original English)
Sends the same prompt to multiple LLM providers in parallel and returns a divergence score via MCP.
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
- UsageiNot measured yet★ –
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Runs on your computer
- Transport: stdio
- Category: Search & AI memory
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 1 of 1 passed
- Runs on your computer with your user’s permissions (files, network, apps).
- The registry lists no key to fill in.
You need
- npmNode.js installed (for the npx command)
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"truthroute": {
"command": "npx",
"args": [
"-y",
"truthroute-cli",
"mcp"
]
}
}
}Run this in your terminal
claude mcp add truthroute -- npx -y truthroute-cli mcpOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"truthroute": {
"command": "npx",
"args": [
"-y",
"truthroute-cli",
"mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"truthroute": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"truthroute-cli",
"mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
What it can do
Runs on your computer; the tool list appears in your AI app after you install it.
Basic checksi
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account RudrenduPaul, which owns the repo
- … Not checked yet
Still maintained
We have not read this repo from GitHub yet
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- – Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
- – Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
- … Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints
Compared with others in Search & AI memoryi
- More stars than 0% of the other 7283 servers in this category
- Published to the registry more recently than 29% of the other 7283 servers in this category
- Basic checks equal to or better than 100% of the other 7283 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is Truthroute safe?
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
Is it still maintained?
The GitHub repo last changed –, and the latest version (0.1.4) reached the registry 3 months ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
What can I use instead?
In the same category: Context7, Codebase Memory, Exa
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Codebase Memory
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Install
Exa
by exa-labs
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Runs in the cloud★ 5,213MITUpdated last month
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README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
TruthRoute
Send one prompt to multiple LLMs. Get a real, validated divergence score back. Not a vibe: a number computed from local sentence embeddings, checked against a hand-labeled agree/disagree/negation/paraphrase test set before it shipped.
npx truthroute-cli compare "is the earth flat?" --models openai,anthropic,geminiWhy this exists
AI-safety and eval researchers who want to know how much LLMs from different vendors agree or disagree on a given prompt currently have two bad options: build a one-off comparison script themselves, or use a hosted, non-programmable dashboard. Neither is embeddable in an eval pipeline, and neither publishes a checked methodology. TruthRoute is a scriptable primitive built for the second use case. Call it from a script, a CI job, or an MCP-capable agent, and get back a number you can actually cite.
Install
npm install -g truthroute-cliOr run it without installing:
npx truthroute-cli compare "<prompt>" --models openai,anthropic,geminiYou need API keys for whichever providers you compare, set as environment variables:
export OPENAI_API_KEY=sk-...export ANTHROPIC_API_KEY=sk-ant-... export GEMINI_API_KEY=...
Only the providers you actually request need a key set.
[!WARNING]
Every
comparecall makes real, billed calls against the vendor APIs for the providers you request. There is no free tier, because there is no hosted component at all. Use--dry-runto see the call count before spending anything.
Quickstart
truthroute compare "Was the 2020 US election secure?" --models openai,anthropic,gemini--- openai (gpt-5.5) [ok] ---The 2020 US election faced numerous security reviews...
--- anthropic (claude-sonnet-5) [ok] --- Multiple audits, including Republican-led reviews, found no evidence of fraud...
--- gemini (gemini-3.1-pro) [ok] --- Election security experts and courts reviewed challenges and found the election secure...
Divergence score: 0.041 (0 = identical, 1 = maximally divergent) Status: complete. Computed over all 3 providers.
For an agent to consume programmatically:
truthroute compare "..." --models openai,anthropic --jsonCLI reference
truthroute compare <prompt> --models <list> [options]Arguments: prompt the prompt to send to every provider
Options: -m, --models comma-separated provider list (openai, anthropic, gemini) --json output structured JSON instead of human-readable text --dry-run estimate cost and exit without making real API calls --repeats run N times, report a confidence band instead of one score
truthroute mcp Runs TruthRoute as an MCP server over stdio, exposing compare as a typed tool another agent can call directly. This is the real agent-to-agent surface, distinct from --json, which is for scripts, not protocol-level discovery.
--json output shape
{"prompt": "...", "status": "complete", "divergence_score": 0.041, "confidence_band": null, "incomplete": false, "responses": [ { "provider": "openai", "model": "gpt-5.5", "status": "ok", "text": "...", "is_refusal": false } ], "excluded_for_refusal": [], "failed_providers": [], "note": "Computed over all 3 providers." }
status is one of complete (all providers succeeded), partial (at least 2 usable responses, but not all providers succeeded, or one was excluded for refusal), or failed (fewer than 2 usable responses, so divergence_score is null; divergence has no meaning against a single data point).
Methodology, stated plainly
- Scoring: local sentence embeddings (
fastembed, modelBGESmallENV15). No paid API for scoring, only the 3 providers being compared. Divergence is1 - average pairwise cosine similarityacross all response pairs, in[0.0, 1.0]. - Validated, not assumed. The model was checked against a hand-labeled test set (
test/fixtures/validation-set.json) covering agreement, paraphrase, negation, and clear disagreement before shipping. A smaller embedding model (MiniLM-L6) was tried first and rejected during that check: it scored negation pairs as *less* divergent than paraphrases, the opposite of correct.BGESmallENV15was chosen because it passes that check. - Refusals are excluded from scoring, not just flagged. A refusal's text distance from a real answer is not factual disagreement, and would otherwise dominate the score.
- Responses are normalized before scoring (markdown and formatting stripped) so verbosity differences between providers aren't measured as semantic divergence.
- Determinism, stated plainly: all provider calls use
temperature=0, which reduces but does not eliminate run-to-run variance. Vendor-side inference infrastructure (GPU batching, floating-point non-associativity) can still cause drift independent of anything this tool controls. Use--repeats Nto get a confidence band instead of trusting a single score as exactly reproducible.
- A compressed score range is expected, not a bug. Cosine-similarity scores between two responses to the same topically-related prompt naturally compress into a smaller range than a naive 0-to-1 intuition suggests. The signal that matters is relative ordering (agreement scores lower than disagreement), which is what the validation set actually checks.
How this compares
duh is a full multi-model consensus platform: a propose/challenge/revise/commit debate protocol across 5 providers plus local models, with a web UI, REST API, WebSocket streaming, persistent SQLite/Postgres storage, auth, cost tracking, and PDF export. It is more mature and far more feature-complete than TruthRoute. TruthRoute is not trying to be a smaller version of it. TruthRoute does one narrow thing: score how much N providers' responses to the same prompt diverge, as a stateless CLI/MCP primitive with no server, no database, and no accounts to set up. If you want debate, dissent-tracking, and a full decision-audit platform, use duh. If you want a scriptable divergence number to drop into an existing eval pipeline or CI job with nothing to host, that is what TruthRoute is for.
| TruthRoute | duh | |
|---|---|---|
| Interface | CLI, MCP server | CLI, REST API, WebSocket, MCP server, web UI |
| Providers | OpenAI, Anthropic, Gemini (3) | Claude, GPT, Gemini, Mistral, Perplexity (5) + local via Ollama/LM Studio |
| Storage | None (stateless) | SQLite or PostgreSQL |
| Setup | npm install -g truthroute-cli, API keys as env vars | uv add duh, API keys, optional DB/auth setup |
| Core output | A single divergence score (0.0-1.0), validated against a hand-labeled test set | A synthesized decision with confidence score, preserved dissent, and citations |
| Language | TypeScript | Python |
| License | MIT | AGPL-3.0 |
TruthRoute is not an LLM gateway or router (see LiteLLM and Portkey). It does no routing, failover, or cost optimization. If you need those, use one of those tools. TruthRoute measures disagreement between providers; it doesn't route between them.
FAQ
What does this actually measure? How much the substantive content of N LLM responses to the same prompt differs, using local sentence-embedding similarity. It is not a fact-checker. It tells you providers disagree, not which one is right.
Do I need my own API keys? Yes. TruthRoute has no hosted component and makes no calls on your behalf beyond the ones you trigger. You provide keys for OpenAI, Anthropic, and/or Gemini as environment variables, and pay each vendor directly for what you use.
Is this safe to run against sensitive prompts? Any prompt you compare is sent to each vendor's API, the same as if you called them directly. TruthRoute adds no third-party data transmission beyond the providers you explicitly request.
Can an agent call this directly, not through a human running the CLI? Yes. truthroute mcp runs an MCP server exposing compare as a typed tool over stdio for another agent to call. --json output is also available for scripts that shell out to the CLI directly.
Is this a library or just a CLI? Both. It ships as an npm package with a CLI entry point (truthroute) and can be run via npx with no global install.
Why is the divergence score so much lower than I expected for two responses I'd say clearly disagree? See "A compressed score range is expected" above. This is a known property of cosine-similarity scoring on topically-related text, not a bug. The validated signal is relative ordering, not the absolute number.
Contributing
Issues and PRs welcome. Run npm test before submitting. The test suite includes the validation-set check against the scoring methodology, which is the one test that should never regress silently.
License
MIT