Install
$ agentstack add mcp-makeph-coldforge ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ● Environment & secrets Used
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
coldforge
Honest, local-first cold outreach. Research a prospect → personalize the opener → run a safe, sequenced campaign → auto-follow-up only the people who didn't reply. One shared Python core, two front-ends: a CLI and an MCP server you can drive from any MCP client.
No SaaS, no account, no required API keys. Your prospect data and your .env never leave your machine — it's a single SQLite file you can delete and rebuild.
git clone https://github.com/Makeph/coldforge && cd coldforge
pip install -e ".[all]" # or `pip install -e .` for the zero-dep core
coldforge init
coldforge leads import examples/leads.csv
coldforge research --all
coldforge campaign create --name q3 --sequence examples/sequence.yml
coldforge campaign activate q3 --leads examples/leads.csv
coldforge campaign preview q3 # review the whole timeline first
coldforge tick --dry-run # see exactly what would send
> Not on PyPI yet — install from source as above. (pip install coldforge > will be the one-liner once it's published.)
Why this exists
It's a synthesis of the best ideas from a pile of open-source outreach tools, rebuilt small and honest:
| Idea | Borrowed from | How coldforge does it | |------|---------------|------------------------| | Local SQLite sending engine, sequences, A/B, safe tick worker | cold-cli (Go) | Re-implemented lean in Python | | Web-search + scrape to personalize | prospect-research-mcp | research command + research_prospect MCP tool, zero-key DuckDuckGo fallback | | LLM-personalized emails | ProspectAI | ~150 lines, not 137k; always degrades to template fill | | Curated reply-driving templates, silent-reply follow-up, SPF/DKIM/DMARC check | coldflow | Original template pack + doctor + reply→cancel rule |
Everything degrades gracefully: no ANTHROPIC_API_KEY → deterministic template fill; no Tavily key → DuckDuckGo + site scrape; no SMTP → dry-run only. You can run the entire pipeline end-to-end with an empty .env.
Two front-ends, one core
┌──────────────────────────────────────────────┐
│ shared core (research · personalize · │
│ templates · sequence · sender · db) │
└───────────────┬───────────────┬──────────────┘
│ │
coldforge CLI MCP server
research→send→follow research_prospect
draft_email
CLI
coldforge templates list # browse the pack
coldforge templates show sales_pain_point
coldforge research alex@acme.io # store a personalization signal
coldforge draft -l alex@acme.io -t sales_pain_point --research
coldforge doctor acme.io # SPF / DKIM / DMARC, 0–100 score
coldforge reply mark alex@acme.io # records a reply → cancels follow-ups
coldforge stats q3
MCP (drive it from any MCP client)
pip install "coldforge[mcp]"
coldforge mcp # stdio server
Register it with your MCP client:
{
"mcpServers": {
"coldforge": { "command": "coldforge", "args": ["mcp"] }
}
}
Tools exposed: research_prospect, draft_email, list_templates, show_template, check_deliverability. Now you can ask your assistant "research Alex at Acme and draft a pain-point cold email" and it uses the same engine the CLI does.
Sequences
A sequence is a list of steps in YAML:
- template: sales_pain_point # concrete opener from the lead's data + research
wait_days: 0
condition: always
- template: followup_bump # one soft bump, same thread, only if no reply
wait_days: 3
condition: no_reply
On activate, every step is pre-scheduled for every lead. The tick worker (run it from cron / Task Scheduler) sends what's due and enforces the guardrails:
- Send window & days — nothing sends outside
COLDFORGE_SEND_WINDOW/
COLDFORGE_SEND_DAYS (default 09:00–17:00, Mon–Fri).
- Daily cap —
COLDFORGE_DAILY_LIMIT(default 40) per account. - Jittered pacing — randomised gap between real sends.
- Reply → cancel — a
no_replystep is skipped and the rest of that lead's
sequence canceled the moment a reply is recorded (manually or via IMAP).
# typical cron line — runs the worker every 15 min during the day
*/15 9-17 * * 1-5 coldforge tick --scan-replies
Configuration
Everything is optional — copy .env.example to .env and fill what you need.
| Variable | Purpose | Without it | |----------|---------|------------| | ANTHROPIC_API_KEY | LLM-personalized drafts | deterministic template fill | | TAVILY_API_KEY | high-quality research | DuckDuckGo + site scrape | | SMTP_*, COLDFORGE_FROM_* | actually send mail | dry-run only | | IMAP_* | auto-detect replies | mark replies manually | | COLDFORGE_DAILY_LIMIT / SEND_WINDOW / SEND_DAYS | guardrails | sane defaults |
Templates
Nine curated, plaintext, reply-tested templates across sales, recruiting, partnership, warm-intro, networking, follow-up — each under ~120 words with one CTA and deliverability notes baked into the front-matter. Add your own by dropping a .md file into ~/.coldforge/templates/.
Install from source
git clone https://github.com/Makeph/coldforge
cd coldforge
pip install -e ".[dev]"
pytest # offline test suite, no keys needed
Responsible use
coldforge is a precision tool, not a spam cannon: low daily caps, send windows, one-bump follow-ups, an explicit "say no and I'll stop" CTA in the templates, and a doctor check so you authenticate your domain before sending. Only email people you have a legitimate reason to contact, honour unsubscribes, and follow the law that applies to you (CAN-SPAM, GDPR, etc.).
License
MIT © 2026 Aurore Biakou
Source & license
This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Makeph
- Source: Makeph/coldforge
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.