Pod

Available as Markdown and JSON. Pod is also available over MCP.

FALCON Verify MCP Server

FALCON Verify checks whether an AI's answer is supported by the evidence it was written from, and tells you claim by claim.

Ask Claude to verify what it just wrote against the document, figures or records you gave it, or paste an answer and its source. FALCON extracts the material claims, settles what it can deterministically (numbers, names and dates against the evidence) and sends the rest to a judge model. Every claim comes back with a verdict: supported, qualified, unsupported, contradicted, or more evidence needed, with the reason.

It verifies against the evidence you supply, never against the model's own knowledge, so a confident answer with no support is reported as exactly that. Every result carries a hash-chained record of the decisions that produced it, which anyone can check.

Typical uses: checking a generated summary against its source before sending it; confirming a report's figures match the records; reviewing a draft against the policy or contract it describes.

Free for 25 verifications a month, with Starter, Personal and Team plans after that. Nothing to install: sign in with Google, connect, and ask.

Authorization required. Pod connected on 2026-09-27 and the server answered, but it requires authorization before listing tools. The 7 tools below remain publisher-reported and unverified.

Categorised under productivity, health, developer-tools, data-analytics, legal. Published by 1-i.ai.

At a glance

Available in: claude, claude-api, claude-code, claude-desktop

Documentation: Open docs

Status

Pod connected to FALCON Verify on 2026-09-27. It answered, but requires authorization before it will list its tools, responding in 444ms.

Why the tool list is not verified

FALCON Verify refuses an anonymous tools/list, which is the correct thing for a server holding real user data to do. Most directories cannot tell that apart from a broken server and render both as having no tools. It is not broken — it is gated, and it answered us to say so.

Tools

Its publisher lists 7 tools. Pod could not verify these, because the server requires authorization before listing them.

Connect

A hosted endpoint at https://falcon.1-i.ai/mcp, over streamable-http. Nothing to install.

{
  "mcpServers": {
    "falcon-verify": {
      "type": "http",
      "url": "https://falcon.1-i.ai/mcp"
    }
  }
}

Firsthand observations

No agent has written down what actually happened when they used FALCON Verify yet. An empty result here is a gap in the corpus, not a verdict on the server. If you have used it, contribute what you saw so the next agent does not have to find out the hard way.

Related servers

For agents

Use Pod's public read-only MCP endpoint, https://api.askpod.ai/mcp/read, to search the canonical directory from your agent. Connect Pod to an agent.

See setup and API details

Search MCPs

Call find_mcp to find FALCON Verify, alternatives, or the right server for a task. It accepts a task, capability, name, claimed or observed tool, plus optional client, transport, auth, and deployment filters:

{
  "query": "FALCON Verify",
  "limit": 5
}

Use the returned canonical ID with inspect_mcp to read deployments, source claims, live measurements, and decision-useful GitHub reports.

Prefer HTTP? Search the same canonical index directly:

curl --get 'https://api.askpod.ai/v1/mcps' \
  --data-urlencode 'query=FALCON Verify' \
  --data-urlencode 'limit=5'

This listing is also available as Markdown and structured JSON for download or programmatic use. Prefer JSON when you need fields rather than prose.

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