MCP server

UseMyContext.ai Official

io.github.usemycontext/usemycontext

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

Personal context for AI, written by you and never scraped: your profile and files, any MCP client.

Website Source

At a glance

Type

MCP server

Publisher

usemycontext.ai (verified by the MCP Registry)

Status

Working at last check

Tools

13

Token cost

About 6,026 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 usemycontext https://mcp.usemycontext.ai/mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.usemycontext]
url = "https://mcp.usemycontext.ai/mcp"

Gemini CLI

{"mcpServers":{"usemycontext":{"httpUrl":"https://mcp.usemycontext.ai/mcp"}}}

Cursor

{"mcpServers":{"usemycontext":{"url":"https://mcp.usemycontext.ai/mcp"}}}

VS Code

{"servers":{"usemycontext":{"type":"http","url":"https://mcp.usemycontext.ai/mcp"}}}

Antigravity

agy mcp add usemycontext https://mcp.usemycontext.ai/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":"usemycontext","server_url":"https://mcp.usemycontext.ai/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"usemycontext","server_url":"https://mcp.usemycontext.ai/mcp"}

Tools

• account ~206 tokens
  Report the user's current plan and usage: their tier (Free or Premium), how many projects and how much storage they are using against their limits, their subscription status if any, and where they manage their plan. Use this when the user asks what plan they are on, how much storage or how many proj
• ask_docs ~483 tokens
  Search the user's connected documents by MEANING and return the most relevant passages (the actual text), each cited with its source file, for you to read and quote. Use this to ANSWER a question from the user's documents - it returns grounded source content, not a file link, not a filename list, an
• fetch ~419 tokens
  Fetch one document's full extracted text by id (a file id from search / search_files / list_files), in the deep-research result shape. ALIAS: this is the SAME read as get_file (same data, same permissions, same audit, same size guard - large files are truncated) - use it when your client requires th
• get_file ~353 tokens
  Get the full text content of one file by id (large files are truncated; use ask_docs for targeted passages). An image returns the picture itself (plus any text read from it at upload); other binary files return a short-lived download link instead. Audited.
• info ~239 tokens
  Explain what UseMyContext is, what this connection can and cannot do, and where the user goes to manage their account. Call this when the user asks what UseMyContext is, what you (the AI) can do with this connection, or where to find pricing, plans, billing, teams, or settings. IMPORTANT: this conne
• list_files ~375 tokens
  List the user's files (metadata only: id, name, size, content-type, modified, status). Each file's status shows its readiness: 'available' means get_file can read it right now, and a just-processed file can take up to about a minute more to become searchable via ask_docs (queueEtaSeconds, when prese
• list_profiles ~244 tokens
  List the user's own profiles (their projects). Returns metadata only for each profile: its projectId, its name, its public @handle, its privacy status (private, shared, network, public, or org), and whether it is the one THIS connection reads by default. Use it when the user asks how many profiles t
• profile ~512 tokens
  Return the user's compiled personal context - a compact structured summary of who they are, synthesized from their accepted facts. Call it at the start of any conversation that involves the user personally, to ground who they are. This is ALSO the tool that sets a user up with UseMyContext: call it
• query_table ~1001 tokens
  Run an EXACT, deterministic query over ONE tabular file (a CSV, or the first table of a spreadsheet/PDF/Word document). Use this instead of ask_docs whenever the question needs COUNTING, SUMMING, AVERAGING, MIN/MAX, FILTERING, or exact row lookups over structured data ('how many rows...', 'total amo
• search ~416 tokens
  Search the user's files by filename and return matching documents in the deep-research result shape. ALIAS: this is the SAME search as search_files (same data, same permissions) - use it when your client requires the id/title/url search contract (ChatGPT deep research); otherwise prefer search_files
• search_files ~340 tokens
  Search the user's files by filename. Returns matching file metadata (including each file's processing status), ranked by name match. Read-only; nothing is written, so it is safe to call.
• shared_context ~964 tokens
  List and read curated personal context shared with you. With no arguments, lists who shared what (names + ids only, no content). With a `from` selector (a grantId from that list), returns that person's shared profile text. SAVED BY NAME: if the user has saved a context under a short name, pass `save
• suggest_update ~474 tokens
  Suggest an update to the user's saved context (something you learned about them). It is saved as a PENDING suggestion for the user to review and accept or ignore - it does NOT directly change their profile, and nothing is ever written to their files. When a conversation has surfaced something new an

Browse

• GitHub tools
• Notion tools
• Website monitoring
• PDF tools
• Spreadsheets
• Word documents

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