mcp server
LibreLink Up (CGM)
Glucose readings from your LibreLink Up sensor: graph, logbook, stats and summaries (read-only). Sec
Description as published by the maintainer. Source
- version 0.1.0
- active
active — Registry entry last updated 2026-06-10.
What this server can do
16 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
authenticate(token)- MCP.AI for IDE agents (Cursor, etc.): log in in the browser, copy the access token. Best: add it to this server's config as a header `Authorization: Bearer <token>` for a permanent, non-expiring connection. Or paste it here for a session-only login: call with { token: "<jwt>" } after the user pastes, or with no args to get the link.
connect- Returns connection status and URLs. When all providers are connected, returns authenticated:true and empty pending[]. When credentials are missing, returns connect_url for the toolkit and per-install URLs.
librelink_get_connection(account, patient_id, patient_ids)- Get a specific LibreLink Up connection by patient (returns target range, sensor info, latest glucose measurement envelope). Read-only CGM data — not for medical decisions without clinician review. Bulk support: accepts patient_ids for batched execution.
librelink_get_current_glucose(account, patient_id, patient_ids)- Get the latest single glucose reading for a connection (value, trend, color, isHigh/isLow flags). Read-only CGM data — not for medical decisions without clinician review. Use librelink_get_glucose_graph for multi-point history or librelink_get_glucose_stats for time-in-range. Bulk support: accepts patient_ids for batched execution.
librelink_get_glucose_graph(account, patient_id, patient_ids)- Get the high-resolution ~12h glucose graph for a connection (raw graphData array of measurement points). Read-only CGM data — not for medical decisions without clinician review. For a single current reading use librelink_get_current_glucose; for stats use librelink_get_glucose_stats. Bulk support: accepts patient_ids for batched execution.
librelink_get_glucose_logbook(account, patient_id, patient_ids)- Get the manual-scan logbook for a connection (~14 days of spot readings and notes). Read-only CGM data — not for medical decisions without clinician review. Not the continuous graph — use librelink_get_glucose_graph for minute-by-minute data. Bulk support: accepts patient_ids for batched execution.
librelink_get_glucose_stats(account, patient_id, target_low, patient_ids, target_high)- Compute time-in-range, average, min/max, and latest-point snapshot from the current graph window (~12h) for a connection. Defaults: target 70-180 mg/dL. Read-only CGM data — not for medical decisions without clinician review. Bulk support: accepts patient_ids for batched execution.
librelink_get_last_hours(hours, account, patient_id, patient_ids)- Last N hours of normalized points [{ ts, mg_dl, trend }] from the current graph window (max ~12h). Read-only CGM data — not for medical decisions without clinician review. Bulk support: accepts patient_ids for batched execution.
librelink_get_latest_reading(account, patient_id, patient_ids)- Normalized latest reading: { mg_dl, trend_arrow, timestamp, minutes_ago, has_active_sensor }. Read-only CGM data — not for medical decisions without clinician review. Bulk support: accepts patient_ids for batched execution.
librelink_get_today_summary(account, timezone, patient_id, target_low, patient_ids, target_high)- Same shape as librelink_get_glucose_stats but filtered to "today" in a chosen IANA timezone, plus hypo_events_70 / hyper_events_180 counts. Read-only CGM data — not for medical decisions without clinician review. Bulk support: accepts patient_ids for batched execution.
librelink_list_accounts(account)- List patients linked to this install (id = patient_id, label, name). Read-only CGM data — not for medical decisions without clinician review.
librelink_list_connections(account)- List patients whose LibreLink Up readings are accessible to this install (alias of librelink_list_accounts; same data). Read-only CGM data — not for medical decisions without clinician review.
marketplace(limit, query, action, mcp_id, message, tool_id, arguments, immediate, tier_slug, prompt_body, prompt_slug, prompt_tool, prompt_vars, conversation, prompt_title, request_name, cancel_reason, cancel_comment, prompt_targets, report_context, prompt_category, request_details, prompt_description)- The official mcp.ai marketplace — the in-platform catalog of every MCP/tool, AND the way to run them. Covers capability requests like "find an MCP that does X", "consulta um CPF", "is there a tool for Y". Core flow: action=search discovers MCPs by intent → describe returns one MCP's full profile (every tool with its id + params, pricing, auth) so you pick the right tool_id → invoke RUNS that tool. KEY: invoke works even when the MCP is NOT installed — it runs the tool pontualmente (one-off), without adding the MCP to the toolkit and without bloating the tool list. If the MCP needs a credential/login, invoke returns a connect link; if it is paid and the wallet is empty, invoke returns a checkout/top-up link (the user opens it, then you retry). Use install only to make an MCP PERMANENT in the active toolkit (its tools then show up natively in future sessions); prefer invoke for a single/occasional use. list_tools lists what is callable right now. subscribe/cancel handle per-MCP billing; report_bug sends feedback; request_mcp asks us to build a NEW MCP when nothing fits. Search/describe flag installed_in_toolkit vs installed_in_workspace. Writes (install/uninstall/subscribe/cancel and the one-off install behind invoke) require workspace owner/admin. It also carries the mcp.ai PROMPT LIBRARY, which is about ready-made prompt TEXT rather than MCPs: search_prompts finds one, get_prompt returns its full text with {{variables}} filled, and publish_prompt saves a prompt and returns a shareable mcp.ai/p/<slug> link that opens without login.
report_bug(context, message, conversation)- Report a bug, missing feature, or send feedback. Include the conversation array with recent messages for reproduction. Required: message.
show_version- Show the current MCP platform and adapter versions.
toolkit_info- Returns the current toolkit state: installed MCPs, their connection status, the accounts connected to each one, and how many catalog tools each exposes.
Last successful function declaration observed on . Source: https://api.mcp.ai/p_librelink. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://api.mcp.ai/p_librelink.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| Latest published version | 0.1.0 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-06-10 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| First listed in the MCP Registry | 2026-06-10 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| mcp tools declared | 16 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | api.mcp.ai | |
| mcp endpoint status | ok | The server listed 16 functions when asked. | as of probe | api.mcp.ai |
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This record as data
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