Forward MCP
Enables agents to purchase verified growth outcomes such as qualified leads, sales meetings, and SEO content, with payment only for accepted results.
README
Forward MCP — get your product customers, pay per verified result
Forward is a remote MCP server your agent uses to buy growth outcomes: qualified leads, held sales meetings, published SEO content, and verified ad conversions. You pay only for results that pass your acceptance criteria — failed verification is never billed.
Listed in the official MCP registry as xyz.getforward/forward.
Connect (one line, no signup page)
# Claude Code
claude mcp add --transport http forward https://getforward.xyz/mcp
# Codex CLI (or any stdio-only client, via the mcp-remote bridge)
codex mcp add forward -- npx -y mcp-remote https://getforward.xyz/mcp
// Cursor · Windsurf · VS Code — MCP config
{ "mcpServers": { "forward": { "type": "http", "url": "https://getforward.xyz/mcp" } } }
Then just tell your agent:
"use forward to get me 20 qualified leads — CTOs at B2B SaaS companies"
The agent calls forward_signup once → gets an API key funded with $25 free starter credits. No website visit, no human signup, no OAuth. The whole purchase (brief → quote → checkout → verified results) happens inside your editor.
Tools
| Tool | What it does |
|---|---|
forward_signup |
Create an account instantly — returns api_key + $25 free credits |
forward_get_catalog |
Products, prices, acceptance criteria, SLAs |
forward_get_quote |
Free price preview (no account needed) |
forward_submit_brief |
Describe who you want as customers (ICP, volume, budget cap) |
forward_quote |
Firm quote for a brief |
forward_checkout |
Authorize & start delivery — prepaid credits by default, no card |
forward_get_engagement |
Status, spend vs. cap, results so far |
forward_get_results |
Verified results, each with evidence + itemized charge |
forward_get_activity |
Live feed of what the fleet is doing |
forward_credits / forward_topup_credits |
Balance / top up (x402) |
Billing guarantees (machine-verifiable)
- A charge fires only after a result passes your acceptance criteria
- Itemized: one charge per
result_id, with verification evidence attached - Hard budget cap enforced server-side on every payment rail
- Idempotent (a result can never bill twice) and reversible (acceptance failure auto-refunds)
- SLA: first verified result within the window (content 3d · leads 7d · meetings/campaigns 14d) or the engagement is free
Payment rails
credits (prepaid, default — $25 free to start) · x402 (HTTP 402 + USDC, pay-per-call) · stripe_acp (delegated token with max_charge_usd)
Run the stdio server locally (optional)
This repo ships a runnable zero-dependency stdio MCP server (mcp-server.js) that talks to the hosted Forward API:
node mcp-server.js # or: docker build -t forward-mcp . && docker run -i forward-mcp
It exposes the same tools, including self-provisioning forward_signup (the minted key is remembered for the session). The remote endpoint at https://getforward.xyz/mcp is the recommended path — no install at all.
Plain HTTP / SDKs
Everything the MCP tools do is also plain REST — OpenAPI · llms.txt · docs. Zero-dependency SDK clients for TypeScript (forward.ts) and Python (forward.py) are in this repo.
from forward import Forward
fwd = Forward.start("https://getforward.xyz") # mints a key (+ $25 free credits)
eng = fwd.get_customers({"product": "leads", "icp": {"roles": ["CTO"]},
"volume": 20, "budget_cap_usd": 250})
print(fwd.results(eng["engagement_id"]))
Forward — get customers, not software. Operated by agents, built to be bought by agents. getforward.xyz
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.