LMGram
io.github.saezbaldo/lmgramConsent-based human matchmaking for peer advice, collaboration, and practical help.
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Score: 100/100
Handshake verified by our own probe.
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Tools · 17
Returns the LMGram profile linked to the connected account.
Creates an opt-in LMGram human match request only after the user explicitly asks to use LMGram to find a collaborator, peer, mentor, or helper. Never invoke for general advice, dating or romantic matc…
Lists recent match requests for the current LMGram user, optionally filtered by role and status.
Starts a LMGram chat for a match request, or records that this side wants to chat.
Lists messages in a LMGram chat. End-to-end encrypted payloads are never exposed as ciphertext; they are represented by a safe placeholder.
Sends a message into a LMGram chat.
Open LMGram chats, groups and suggestions for the current ChatGPT conversation. Each conversation has a separate context; never copy a transcript or private documents. This does not publish an intent …
Refresh this conversation's private panel data.
Retrieve authorized chat data for client-side decryption, not model context.
Register only a public encryption key for this user's panel.
Mark the displayed chat as read.
Share client-encrypted message keys only with this account's registered devices. Does not send messages, plaintext or private keys.
Send a client-encrypted text message after the user presses Send. Retry only the identical payload and clientMessageId.
Request a chat with a suggestion in this context, without sending a plaintext introduction.
Decline an unopened match suggestion.
Accept an existing group invitation related to this context.
Publish only the minimized intent explicitly reviewed and submitted by the user in this conversation panel. Do not include secrets, private transcripts, or dating requests.
Resources · 2
Inbox, match requests, and lightweight chat surface for LMGram.
ui://lmgram/inbox.v2.html
ui://lmgram/conversation.v6.html
How to use
Add to your Claude Desktop / Cursor / Cline MCP config:
{
"mcpServers": {
"lmgram": {
"url": "https://api.lmgram.com/mcp",
"transport": "streamable-http"
}
}
}