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  3. Contexter
Contexter logo
Health: ActiveRecent health check succeeded.Last checked 9/7/2026, 9:20:55 PM

Contexter

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View RepositoryVisit Website

Share one project context across ChatGPT, Claude, Telegram and any MCP client.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Remote HTTP
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "contexter": {
      "url": "https://contexterai.com"
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’¬ More in Communication

Documentation Overview

Contexter

Share one AI context across ChatGPT, Claude and Telegram.

Save what you worked out with one AI, continue it in another β€” and share the context with people in Telegram, who keep working on it in their own AI.

Contexter is a hosted remote MCP server. This repository is its public documentation: the connection details, the tool catalogue and what does and does not move between tools. The server itself is hosted and closed-source β€” there is nothing to install and no key to manage.

  • Homepage: https://contexterai.com
  • MCP endpoint: https://contexterai.com/mcp
  • Transport: Streamable HTTP
  • Authentication: OAuth 2.1 (with protected-resource metadata discovery)
  • Telegram bot: @ai_contexter_bot
  • Status: early access, free, open to everyone

The problem it solves

You plan something in ChatGPT. You continue it in Claude. You discuss it in a Telegram group. Every hop, you re-explain the project β€” and the person you are working with cannot pick it up at all, because your history lives inside your account.

Contexter gives the project one context instead of one copy per tool. Both assistants read and write the same records. You can share that context with a person, and they continue it in whichever AI they use.

Nothing is imported automatically. Connecting an assistant does not hand Contexter your chat history. Only the records you explicitly save β€” or ask your assistant to save β€” end up in a context.


Connecting

Claude

Add a custom connector pointing at https://contexterai.com/mcp. Claude discovers the OAuth endpoints on its own; you sign in through Telegram and approve access once.

ChatGPT

Add Contexter as a connector with the same URL. Same OAuth flow.

Any other MCP client

Anything that speaks Streamable HTTP with OAuth 2.1 works the same way β€” point it at https://contexterai.com/mcp.

Full walkthroughs, including what travels between each pair of tools:

  • ChatGPT and Claude
  • ChatGPT and Telegram
  • Claude and Telegram

What you can ask an assistant to do

Once connected, you talk to your assistant normally. For example:

Create a context called "Kitchen renovation" in Contexter and put my measurement notes in it.

What is in my Dolomites hike context?

Save this comparison to the AI-bot context and share it with Anna.


Tool catalogue

Twenty-six tools in four groups. Write tools require a human decision β€” the client acts for a person, and irreversible steps (sharing, publishing to a room, deletion) are confirmed rather than assumed.

Reading (8) β€” list_contexts, get_context_card, get_context_feed, list_records, list_sources, get_artifact, get_file, read_image_content

Saving (7) β€” save_artifact, save_file, create_context, add_records_to_context, update_artifact, update_context, set_context_notifications

Sharing (5) β€” share_context, revoke_context_access, check_share_audience, deliver_to_chat, invite_room_to_context

Removing (6) β€” remove_record_from_context, delete_record, leave_context, restore_record, delete_context, restore_context

Scopes, response shapes and the reasoning behind each one: contexterai.com/developers.


Use cases

Two assistants, one project. Research in ChatGPT, drafting in Claude. The plan lives in a context both reach, so neither one starts from an empty page.

Two people, two different AIs. You share the context, not a document export. The other person opens it from whatever assistant they already pay for.

A group chat that does not lose its decisions. Add the bot to a Telegram group. Messages from the people who opt in become records; the context built from the chat is shared with those same people, and each of them works on it in their own AI, outside the group.


Privacy

  • AI chat history is never imported. Saving is always explicit.
  • A record's visibility is the visibility of the context it is in. There are no hidden audiences: every shared context shows exactly who can see it.
  • In a Telegram group, only the messages of people who joined in are collected. Anyone who has not is not collected at all.
  • Deletion is reversible for 7 days.

Privacy policy Β· Security model in plain words Β· Terms Β· Subprocessors


Support

Open an issue here, or message @ai_contexter_bot in Telegram. Questions and answers for people already using it: contexterai.com/help.

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about Contexter

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "contexter": { "command": "npx", "args": ["-y", "Contexter"] } }

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Technical Specs & Signals

CategoryπŸ’¬Communication
More technical detailsExpand β–Ύ
TransportSSE (Remote)
RuntimeNode.js
Last updatedSep 7, 2026
Views0
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Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
35Quality signal: Fair Β· 35/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools15/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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