LMGram MCP Server

by saezbaldo Your server? Claim it

answering

LMGram is answering right now. Last checked 3 min ago. It exposes 17 tools.

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

Uptime history 91 days of history · worst day 86%

91 days agonow

100.0%

Uptime 24h

92 of 92 checks

Tools

read from the server

226 ms

Response time

average over 24h

open, no key

Access

streamable-http

What changed 16

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 14 August 2026. No other catalogue keeps this.

30 Sep 11 tools appeared open_lmgram_panel, panel_chat, panel_create_intent and 8 more

27 Aug a tool description was rewritten list_match_requests

27 Aug a tool changed the parameters it asks for list_match_requests

14 Aug 2 tool descriptions were rewritten list_messages, request_human_match

14 Aug a tool changed the parameters it asks for request_human_match

LMGram missed one check this week

Everything else answered, so this is steady rather than shaky. We check every 15 minutes, which is how a one-off gets told apart from the start of a pattern, and how you hear about the next one within the hour instead of from your users.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 3 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

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

Settings → Connectors → Add custom connector, then paste this address

https://api.lmgram.com/mcp

~/.codex/config.toml

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

.cursor/mcp.json

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

.vscode/mcp.json

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

Available tools 17

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

panel

panel_chat

Retrieve authorized chat data for client-side decryption, not model context.

panel_create_intent

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

Decline an unopened match suggestion.

panel_join_group

Accept an existing group invitation related to this context.

panel_mark_read

Mark the displayed chat as read.

panel_register_device

panel_send_message

Send a client-encrypted text message after the user presses Send. Retry only the identical payload and clientMessageId.

panel_snapshot

Refresh this conversation's private panel data.

panel_start_chat

Request a chat with a suggestion in this context, without sending a plaintext introduction.

panel_sync_device_keys

Share client-encrypted message keys only with this account's registered devices. Does not send messages, plaintext or private keys.

current

get_current_user

Returns the LMGram profile linked to the connected account.

match

list_match_requests

Lists recent match requests for the current LMGram user, optionally filtered by role and status.

messages

list_messages

Lists messages in a LMGram chat. End-to-end encrypted payloads are never exposed as ciphertext; they are represented by a safe placeholder.

open

open_lmgram_panel

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.

request

request_human_match

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 documents; ask for a minimized non-sensitive summary first.

send

send_message

Sends a message into a LMGram chat.

start

start_chat

Starts a LMGram chat for a match request, or records that this side wants to chat.

Endpoints

URL	Transport	State	Latency	Checked
https://api.lmgram.com/mcp	streamable-http	answering	244 ms	3 min ago

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LMGram — questions

Answers built from our own checks of this server.

What can LMGram do?

It exposes 17 tools, read directly from the server on our last check. Among them: get_current_user, list_match_requests, list_messages, open_lmgram_panel, panel_chat, panel_create_intent and 11 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is LMGram working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 226 ms. The bar chart above shows every period we have measured.

How do I connect LMGram?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does LMGram need an API key?

No. LMGram completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 17 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is LMGram?

It answers our handshake in 226 ms on average, which is faster than 60% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.