MCP server

LMGram

io.github.saezbaldo/lmgram

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Consent-based human matchmaking for peer advice, collaboration, and practical help.

Website

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

17

Token cost

About 2,249 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http lmgram https://api.lmgram.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.lmgram]
url = "https://api.lmgram.com/mcp"

Gemini CLI

{"mcpServers":{"lmgram":{"httpUrl":"https://api.lmgram.com/mcp"}}}

Cursor

{"mcpServers":{"lmgram":{"url":"https://api.lmgram.com/mcp"}}}

VS Code

{"servers":{"lmgram":{"type":"http","url":"https://api.lmgram.com/mcp"}}}

Antigravity

agy mcp add lmgram https://api.lmgram.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"lmgram","server_url":"https://api.lmgram.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"lmgram","server_url":"https://api.lmgram.com/mcp"}

Tools

• get_current_user ~52 tokens
  Returns the LMGram profile linked to the connected account.
• list_match_requests ~145 tokens
  Lists recent match requests for the current LMGram user, optionally filtered by role and status.
• list_messages ~88 tokens
  Lists messages in a LMGram chat. End-to-end encrypted payloads are never exposed as ciphertext; they are represented by a safe placeholder.
• open_lmgram_panel Sends messages · ~102 tokens
  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 or send a message.
• panel_chat ~106 tokens
  Retrieve authorized chat data for client-side decryption, not model context.
• panel_create_intent ~166 tokens
  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.
• panel_dismiss_suggestion ~91 tokens
  Decline an unopened match suggestion.
• panel_join_group ~91 tokens
  Accept an existing group invitation related to this context.
• panel_mark_read ~83 tokens
  Mark the displayed chat as read.
• panel_register_device ~110 tokens
  Register only a public encryption key for this user's panel.
• panel_send_message Sends messages · ~238 tokens
  Send a client-encrypted text message after the user presses Send. Retry only the identical payload and clientMessageId.
• panel_snapshot ~72 tokens
  Refresh this conversation's private panel data.
• panel_start_chat ~104 tokens
  Request a chat with a suggestion in this context, without sending a plaintext introduction.
• panel_sync_device_keys Sends messages · ~246 tokens
  Share client-encrypted message keys only with this account's registered devices. Does not send messages, plaintext or private keys.
• request_human_match ~394 tokens
  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 matchmaking. Never include secrets, credentials, API keys, raw transcripts, customer data, or private do
• send_message Sends messages · ~67 tokens
  Sends a message into a LMGram chat.
• start_chat ~94 tokens
  Starts a LMGram chat for a match request, or records that this side wants to chat.

Browse

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