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Directory / AI SDRs / AiSDR

AiSDR

No MCP found Paid, self-serve AI SDRs RESEARCHED Checked 2026-09-02
RESEARCHED Facts from public sources with URLs. No usage claims. Nobody has run this tool. The other tier is BENCH-TESTED, which means Andrew personally ran the tool on a stated date and cannot be bought at any price. Across the whole directory that count is 1.

Vendor: https://aisdr.com · entry id 04-aisdr · source 04-ai-sdr-agents.md line 68

What it does
An AI sales agent that researches prospects via "Live AI search," writes and sends personalized email/LinkedIn outreach, qualifies replies, and books a meeting only once a prospect is judged ready.
AI features, separated from automation with an AI label on it
Plain-English targeting instead of static list filters, and reply qualification before human handoff are the more genuinely agentic pieces; "thinks before it acts" / "refuses to spam" positioning is vendor copy not independently verified.
RevOps role
Outbound sequencing + qualification layer for teams without a human SDR at all - priced and marketed as a full SDR replacement, not a tool add-on.
MCP server
Status bucket
No MCP found
Auth
n/a
Parsed URLs
0 found in the mcp_url field

No server was found at the time of the check. That is a statement about the search, not a promise that none exists. The status was established on 2026-09-02.

mcp_status, verbatim from the file:

none-found

The mcp_url field is empty on this entry. 417 of 1252 entries are.

Command line

No CLI found by the 2026-09-27 harvest across vendor docs, npm, PyPI, Homebrew and GitHub. That is a probe result, not proof of absence.

Access gate
Gate bucket
Paid, self-serve
Can a solo operator reach it
Yes, by paying, no sales call

api_gate, verbatim from the file:

paid, self-serve - $900/month (billed quarterly), unlimited seats, credit-based (message + lead-search credits); no separate API tier advertised

API documentation

No documentation URL recorded.

727 of 1252 entries are in the same position. Blank is legal and it is published as blank.

GitHub health

Not measured. github_url, github_stars, github_last_commit and github_archived are null on every entry in this build.

The refresh rail specced in SPEC section 7.2 has not been run. An unstamped star count is a lie, so nothing is shown rather than something stale.

On GitHub

github.com/aisdrapp tied to the vendor by rule 3, account website https://aisdr.com has the vendor's domain, confidence strong

Public repositories
0, forks excluded, as read on 2026-09-08
Mention MCP
0 of them
Look like CLIs
0 of them
Latest push
not recorded

Kind is a heuristic guessed from the repository name, topics and description, not a fact the vendor stated. A repository count is activity, not a verdict. Read 2026-09-08.

Jobs it can do

A job tag means the vendor says the tool does this. It is not a test result, not proof the capability is reachable through the tool's MCP server, and not proof it is available on the gate this entry records.

Tagged by machine-pass on 2026-08-25 against the closed 56 job vocabulary. 271 of 1,252 entries carry at least one tag; 849 tags are assigned in total.

Sources

1 source URL. Thin. The standing rule is at least two independent sources with the vendor's own site unable to be both of them, and this entry does not meet it. 100 entries are in the same state and they are listed on the methodology page. Raw sources field, verbatim:

https://aisdr.com

Notes, verbatim from the file
One of the few entries in this pass with transparent public pricing - useful data point for a solo-operator budget comparison. 2026-09-02: re-checked aisdr.com (no llms.txt; https://aisdr.com/mcp/ 404s), the official MCP registry (no entry) and a web search; no MCP server found. A third-party review page's line that AiSDR is "listed in the Claude directory" could not be matched to any vendor page and is not counted.
Provenance
Entry id
04-aisdr
Source file
04-ai-sdr-agents.md
Source line
68
Tier
RESEARCHED
last_checked
2026-09-02
Data baked
2026-09-27

Every field above is rendered from directory.json exactly as the build produced it. Nothing is summarised and nothing is dropped. The one change made at render time is typographic and it is disclosed on the methodology page.