Free mechanical checks for AI text: unnamed counts, dangling references, bad arithmetic, misquotes.
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
citation_check2 fields changedInput schema / properties / ground / descriptionPrevious value: -"Also fetch each cited source and compare the claim against what it actually says. Requires a key: the free tier is mechanical only and no model reads your text there."New value: +"Also fetch each cited source and compare the claim against what it actually says. Requires a key: the free tier is mechanical only and no model reads your text. WHAT THIS SENDS: when ground is true, the sentences being tested — verbatim from your document — and the retrieved source text are transmitted to a language-model provider that performs the comparison for us (Anthropic PBC, United States). Not the whole document, and never on the free pass there."Input schema / properties / urlAdded value: +{
+ "description": "OPTIONAL alternative to text: a public https address of the document to check — the tool fetches it (200 KB cap, 3 url-borne documents a day on their own counter) and runs the same checks. The answer names the address and byte count, because the verdict is about the fetched copy at fetch time. Send text OR url, never both. Nothing fetched is stored.",
+ "type": "string"
+}citation_check2 fields changedInput schema / properties / text / descriptionPrevious value: -"The document to check (markdown or plain text)"New value: +"The document to check (markdown or plain text). OPTIONAL: omit it and the tool runs on our own example document instead and says so — a one-call demonstration that needs nothing prepared. Your document is never stored."Input schema / requiredRemoved value: -[
- "text"
-]citation_check1 field changedInput schema / properties / reachAdded value: +{
+ "description": "FREE. Report which of the document's cited sources an automated reader can actually retrieve, and why not where not: readable, unreachable, not-text, thin (answered but carried no document), or skipped. No model reads your text. It says NOTHING about whether a claim is true or supported, and an unreachable source is not a broken link — many sites refuse automated readers and serve browsers normally. This is machine-verifiability. 3 documents/day, on its own counter.",
+ "type": "boolean"
+}citation_check1 field changedInput schema / properties / groundAdded value: +{
+ "description": "Also fetch each cited source and compare the claim against what it actually says. Requires a key: the free tier is mechanical only and no model reads your text there.",
+ "type": "boolean"
+}citation_checkClaiming proves that you control a remote MCP connector. It does not move, proxy, or interrupt the server.
Open the connector listing, choose Claim ownership, and sign in to Glama.
Complete one verification method:
GitHub identity — fastest for official registry listings. For a namespace such as io.github.alice/server, link the matching GitHub user, then choose Claim with GitHub. An organization namespace such as io.github.acme/server also needs that organization to have installed the Glama AI GitHub App and approved its permissions, because GitHub discloses organization membership only to apps it has installed. Use HTTP or DNS when it has not.
HTTP challenge — works when you can deploy a public file. Generate a token, publish the exact JSON Glama shows at /.well-known/glama.json on the same origin as the connector, then choose Check HTTP challenge.
DNS challenge — works when you control DNS but cannot change the server. Generate a token, create the exact TXT record Glama shows, wait for it to propagate, then choose Check DNS challenge.
After verification, Glama sends a confirmation email and gives you access to listing details, thumbnails, health checks, and analytics. Keep the HTTP file or DNS record in place: Glama periodically checks it and ownership remains verified while the token is discoverable.
The HTTP ownership file has this structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"claim": "glama_claim_..."
}Claim tokens are opaque, stable, and bound to the signed-in Glama account. They contain no email address or other personal information. If Glama can no longer discover a verified HTTP or DNS token, it starts a seven-day grace period before removing claim-based access. Restore the same token during that period to keep ownership verified. Never publish an email address, Glama session token, GitHub token, or connector credential as ownership proof.
If verification fails, confirm that you copied the current token exactly. The HTTP file must be public, return valid JSON with a successful HTTP response, and stay on the connector's origin. DNS changes may need more time to propagate. A claim cannot transfer to a different origin or hostname: if the connector target changes, Glama starts the grace period and the new target must be claimed separately after the previous claim is released.
For a connector linked to the official MCP Registry, registry updates continue to replace its name, description, and URL by default. After claiming, open Manage connector and enable Use Glama listing details as the source of truth if edits made on Glama should be preserved. Categories and thumbnails are always managed on Glama; registry linkage and technical connection settings continue to sync.
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Claim ownership of the server listing
Complete the server profile with an accurate description and thumbnail
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Keep tool definitions clear and complete to earn a high Tool Definition Quality Score (TDQS)
Route real usage through the Glama Gateway; more recorded successful server uses also improve the ranking
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Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
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The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
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Fact-check citations: resolve, match, support claims. Arithmetic rechecked. Free to start.
Find AI-isms with evidence and fingerprint a writing voice from samples. 3 of 5 free.
Verify claims and sources, and check whether AI assistants name a brand.
Fact-checks generated content against your sources of truth showing what to trust, change, & verify.
Add one secure layer between your agents and this server.
There is only one tool, so there is zero chance of an agent selecting the wrong operation. The single tool's purpose is clearly described, and no overlapping tool boundaries exist.
With only one tool named citation_check, naming is trivially consistent. The snake_case name is clear and accurately reflects the server's purpose, following a recognizable verb_noun pattern.
A single tool is borderline-thin, but the description reveals that it bundles seven distinct checks plus demo and external-verification modes into one call. The core workflow is fully covered, but the server functions as a monolith rather than a modular tool set.
The seven checks thoroughly cover the self-referential citation domain, and the ground=true mode extends coverage to external sources. Minor gaps include the inability to run individual checks in isolation and external verification being gated behind a prepaid key.