CallFlow AI
REMOTE · CALLFLOW-AI-NINE.VERCEL.APP · SCANNED SEP 29
Paid sales-call scoring and CRM next-step analysis for AI agents.
Available components
How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →
Endpoint Security63
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- Authorisation not fully verified: no authorisation is required to call this server, and 2 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe. See how to fix → View diagnostics → Unverified
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- The HSTS (Strict-Transport-Security) header is present. View diagnostics → Pass
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability71
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 131 tokens (~65/item across 2 items; 2 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
- Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage78
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 33% of tool parameters carry a description.Partial
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 2 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 2 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a current MCP spec version (2026-07-28).Pass
Unverified: 1 category
A category scored 0 because we could not verify it: authentication we do not have, an unreachable endpoint, or not enough scan history. We only credit what we can confirm.
How do I install the CallFlow AI MCP server?
CallFlow AI is a hosted endpoint at https://callflow-ai-nine.vercel.app/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
remote · callflow-ai-nine.vercel.app
claude mcp add --transport http sarvin-tech-callflow-ai 'https://callflow-ai-nine.vercel.app/mcp'
{
"mcpServers": {
"sarvin-tech-callflow-ai": {
"url": "https://callflow-ai-nine.vercel.app/mcp"
}
}
} {
"servers": {
"sarvin-tech-callflow-ai": {
"type": "http",
"url": "https://callflow-ai-nine.vercel.app/mcp"
}
}
} [mcp_servers.sarvin-tech-callflow-ai] url = "https://callflow-ai-nine.vercel.app/mcp"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"sarvin-tech-callflow-ai": {
"type": "remote",
"url": "https://callflow-ai-nine.vercel.app/mcp",
"enabled": true
}
}
} openclaw mcp add sarvin-tech-callflow-ai --url 'https://callflow-ai-nine.vercel.app/mcp' --transport streamable-http
mcp_servers:
sarvin-tech-callflow-ai:
url: "https://callflow-ai-nine.vercel.app/mcp" {
"McpServers": {
"sarvin-tech-callflow-ai": {
"Transport": "http",
"Url": "https://callflow-ai-nine.vercel.app/mcp"
}
}
} assistant mcp add sarvin-tech-callflow-ai -t streamable-http -u 'https://callflow-ai-nine.vercel.app/mcp'
{
"mcpServers": {
"sarvin-tech-callflow-ai": {
"type": "http",
"url": "https://callflow-ai-nine.vercel.app/mcp"
}
}
} The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 29 Sept 26 64
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 29 Sept 2026 · Probed https://callflow-ai-nine.vercel.app/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=*.vercel.app | CN=WR1,O=Google Trust Services,C=US | 29 Aug 2026 | 27 Nov 2026 | RSA 2048 | SHA256-RSA | f7911168ffa7d0f4135e24792e7a52a8 |
| SANs: *.vercel.app | ||||||
| CN=WR1,O=Google Trust Services,C=US (CA) | CN=GTS Root R1,O=Google Trust Services LLC,C=US | 13 Dec 2023 | 20 Feb 2029 | RSA 2048 | SHA256-RSA | 7fd9e2c2d2048a0474b627a26d0868a7 |
| CN=GTS Root R1,O=Google Trust Services LLC,C=US (CA) | CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE | 19 Jun 2020 | 28 Jan 2028 | RSA 4096 | SHA256-RSA | 77bd0d6cdb36f91aea210fc4f058d30d |
Background: What to check on a remote MCP endpoint →
DNSSEC insecure
Validation of callflow-ai-nine.vercel.app. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| app. | present | 23684 | 8 | Verified |
| vercel.app. | absent | Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation |
Authentication No authorisation required
The endpoint answered without asking for a token. Anyone who knows the URL can reach it.
| Result | No authorisation required |
|---|---|
| HTTP status | 200 |
| Header | Value |
|---|---|
| strict-transport-security | max-age=63072000; includeSubDomains; preload |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://callflow-ai-nine.vercel.app/mcp | Verified | 200 | |
| http (plaintext) | http://callflow-ai-nine.vercel.app/mcp | HTTPS enforced | 308 | https://callflow-ai-nine.vercel.app/mcp |
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
analyze_sales_call Analyze a sales call with CallFlow ~99
Paid sales-call transcript analysis. Without paymentSignature it returns the x402 payment challenge. Retry with a valid PAYMENT-SIGNATURE for the analysis.
| Name | Type | Req | Description |
|---|---|---|---|
| company | string | – | – |
| paymentSignature | string | – | Optional x402 PAYMENT-SIGNATURE header value for a paid retry. |
| prospect | string | – | – |
| rep | string | – | – |
| title | string | – | – |
| transcript | string | yes | Sales call transcript to analyze. |
No output schema declared.
No examples provided.
get_callflow_payment_info Get CallFlow payment info ~32
Returns the CallFlow paid sales-call API URL, price, network and x402 payment protocol without charging.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
What is the CallFlow AI MCP server?
CallFlow AI is an MCP server listed in the public MCP registry as io.github.sarvin-tech/callflow-ai. Paid sales-call scoring and CRM next-step analysis for AI agents. This page covers its hosted endpoint (https://callflow-ai-nine.vercel.app/mcp).
Is the CallFlow AI MCP server safe to use?
CallFlow AI scores 64 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the CallFlow AI MCP server expose?
CallFlow AI exposes 2 tools: get_callflow_payment_info, analyze_sales_call. Their descriptions and schemas cost roughly 131 tokens of context every time the server is loaded.
Does the CallFlow AI MCP server require authentication?
No. We connected to CallFlow AI without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the CallFlow AI MCP server still maintained?
CallFlow AI is still listed as active in the MCP registry. We last reached this channel on 29 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.