Enrich B2B account research, contact data, and CRM information through integrated table inspection and cleanup tools.
Also known as LeadMagic/leadmagic-openai, leadmagic-openai
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- 0
- Tools
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- Downloads, 30 days
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- Latest version
- 2.23.5
- Last commit
- Oct 27, 2026
- License
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What is LeadMagic MCP?
LeadMagic is an MCP server. Enrich B2B account research, contact data, and CRM information through integrated table inspection and cleanup tools.
Summary generated from the project's README
About LeadMagic MCP server
LeadMagic provides a suite of tools designed for B2B account research and contact enrichment. It allows users to inspect and clean up data within tables and perform inspections of connected CRM systems. The server functions as a hosted MCP connection via a Streamable HTTP endpoint, requiring clients to authenticate through an OAuth flow.
Users can access specific capabilities like the LeadMagic Tables skill to manage workspace data. While many tools are available based on workspace permissions, certain paid table operations require a scope and credit quote followed by manual human approval. This server is built for professionals needing to maintain high-quality contact data and CRM information through integrated inspection tools.
What you can do with it
- 1Perform B2B account researchAsk the AI to gather and enrich information regarding specific business accounts.
- 2Clean up workspace dataRequest the agent to inspect and perform scoped cleanup on existing data tables.
- 3Inspect CRM informationUse the client to look into connected CRM systems for data verification.
Written from the project's README. Every use case is checked against a quote from it.
How to install LeadMagic MCP
Formats verified 10 Nov 2026Add to CursorAdd to GooseInstall LeadMagic MCP in Claude Code
$ claude mcp add --transport http leadmagic-openai https://mcp.leadmagic.io/mcpInstall LeadMagic MCP in Cursor
~/.cursor/mcp.json
{
"mcpServers": {
"leadmagic-openai": {
"url": "https://mcp.leadmagic.io/mcp"
}
}
}Install LeadMagic MCP in VS Code
.vscode/mcp.json
{
"servers": {
"leadmagic-openai": {
"type": "http",
"url": "https://mcp.leadmagic.io/mcp"
}
}
}Install LeadMagic MCP in VS Code CLI
$ code --add-mcp '{"name":"leadmagic-openai","type":"http","url":"https://mcp.leadmagic.io/mcp"}'Install LeadMagic MCP in Codex
$ codex mcp add leadmagic-openai --url https://mcp.leadmagic.io/mcpInstall LeadMagic MCP in Codex config.toml
~/.codex/config.toml
[mcp_servers.leadmagic-openai] url = "https://mcp.leadmagic.io/mcp"
Install LeadMagic MCP in Gemini CLI
$ gemini mcp add -s user --transport http leadmagic-openai https://mcp.leadmagic.io/mcpInstall LeadMagic MCP in Gemini settings.json
~/.gemini/settings.json
{
"mcpServers": {
"leadmagic-openai": {
"url": "https://mcp.leadmagic.io/mcp",
"type": "http"
}
}
}Automated checks
Ran Nov 15, 2026Full report →Not verified yet. A server needs a score of 80, no serious finding, and enough data for us to check. How checks work · What to fix for more points
- Source repository linked and reachableleadmagic/leadmagic-openai is public and reachablegithub.com/leadmagic/leadmagic-openai ↗Pass
- Package names this repository as its sourceNot checked
- Build provenance (Sigstore attestation)Not checked
- Open source license (OSI)No licenseFinding
- Commit or release in the last yearLast commit or release 2026-10-27github.com/leadmagic/leadmagic-openai ↗Pass
- OpenSSF ScorecardNot checked
- Package name not close to a popular packageNot checked
- No critical advisory in the package or its dependenciesNot checked
- No hidden instructions to the model0 tool descriptions and the README read; no override phrases, credential paths or hidden charactersPass
- Destructive tools are labelledNot checked
- Remote endpoint answers the MCP handshakeHTTPS endpoint answered 401 (sign-in required)Pass
README
View on GitHubLeadMagic for ChatGPT
The public LeadMagic package for ChatGPT and Codex, published by LeadMagic Corporation. It contains directory metadata, the hosted MCP connection at https://mcp.leadmagic.io/mcp, declared listing images, and the LeadMagic Tables skill. Authentication is configured in the OpenAI submission portal.
LeadMagic supports B2B account research, contact enrichment, table inspection and scoped cleanup, and connected CRM inspection. Available tools depend on the connected workspace's permissions. Paid table runs require a scope and credit quote followed by human approval. Outbound CRM and sequencer delivery is handled in the LeadMagic app.
Build
Requires Node.js 24.18+ and zip. Authored tooling uses TypeScript with Node's native type stripping; validation also runs the strict TypeScript compiler and package boundary tests.
npm ci
npm run validate
npm run package -- --out=/tmp/leadmagic-openai-plugin.zip
Support: LeadMagic Support · Privacy · Terms
The validator requires the public author name and developer name to be exactly LeadMagic Corporation. It checks the stable plugin identity, listing limits, review tool names, and one hosted HTTPS MCP without embedded credentials, headers, or an authentication override. It rejects app references, lifecycle hooks, unsafe paths, symlinked package files, and obsolete paid-run instructions. This package uses noninterlaced PNG images, decoded with pinned pngjs after checking file size and dimensions. Declared screenshots must be distinct PNG assets, one per starter prompt, each 706 pixels wide and 400–860 pixels tall, at most 5 MiB.
The upload ZIP contains only the plugin manifest, MCP connection metadata, declared images, and the Tables skill. Packaging creates a fresh archive, so previous ZIP contents cannot survive. Registry metadata, build tools, repository files, and undeclared assets are excluded. Write the ZIP outside this repository. Keep reviewer credentials and sign-in instructions in the secure OpenAI review form; OpenAI rejects them in ZIP metadata.
To check review tool names against a saved MCP tools/list response or catalog:
npm run validate -- --tools=/absolute/path/tools-list.json
A local catalog verifies tool names only. It is not a fresh authenticated production scan.
Submit an update
Use the existing LeadMagic entry in the OpenAI submission portal and the With MCP flow. Preserve the package identity and existing authentication configuration, verify domain ownership, and scan the production endpoint. Screenshots require custom UI reported by that scan.
Run all five positive and three negative review cases using the review account and provide an accessible demo recording that demonstrates the current package. Local validation does not verify live tool behavior or complete directory review.
The demo recording is managed in the existing submission's Review information → Supporting content field. Set it to the current review recording and save the details. The manifest deliberately omits review.demo_recording_url so the dashboard value remains editable and can be verified before submission. Keep this public HTTPS recording accessible without sign-in, including byte-range requests from automated clients.
Package rules: OpenAI submission guide · Submission errors · Plugin guidelines.
Official MCP Registry
server.json publishes LeadMagic's hosted MCP endpoint to the Official MCP Registry. It uses the io.leadmagic domain namespace and a Streamable HTTP connection; clients authenticate through the service's OAuth flow. This repository contains public connection and listing metadata only, not the hosted server implementation.
Validate the listing before publishing with mcp-publisher validate server.json.
LeadMagic MCP questions
How do I add LeadMagic MCP to Claude Code?
Run claude mcp add --transport http leadmagic-openai https://mcp.leadmagic.io/mcp in your terminal. Add --scope user to make it available in every project.
How do I add LeadMagic MCP to Cursor?
Open ~/.cursor/mcp.json and add the server under mcpServers, using the Cursor config shown in the install section above.
What can LeadMagic do for my B2B research?
It supports B2B account research, contact enrichment, table inspection, scoped cleanup, and connected CRM inspection.
How is outbound CRM delivery handled?
Outbound CRM and sequencer delivery is managed directly within the LeadMagic application.
Are there costs associated with running tables?
Yes, paid table runs require a scope and credit quote, which must then receive human approval.