About Contexta
Contexta is a hosted memory MCP server for AI assistants that need to retain and retrieve notes, messages, and documents across sessions. It combines keyword, vector, and graph search over typed entities such as people, projects, and decisions.
Key features
- 01Combined keyword, vector, and graph search
- 02Typed entities for notes and records
- 03Create and update saved pages
- 04Search relationships in the knowledge graph
- 05Manage tasks and workspaces
Use cases
- 01Recall decisions across assistant sessions
- 02Keep long-term context for ongoing projects
- 03Search meeting notes and related people
- 04Save and retrieve personal research
MCP support
Contexta exposes memory search, page, graph, task, and workspace tools to MCP clients. It uses OAuth 2.0 with dynamic client registration and per-user access tokens.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://mcp.contexta.cc/mcpclaude mcp add --transport http cc-contexta-contexta https://mcp.contexta.cc/mcp{"mcpServers":{"cc-contexta-contexta":{"type":"http","url":"https://mcp.contexta.cc/mcp"}}}Open in Cursor{"servers":{"cc-contexta-contexta":{"type":"http","url":"https://mcp.contexta.cc/mcp"}}}Open in VS Code{"mcpServers":{"cc-contexta-contexta":{"type":"http","url":"https://mcp.contexta.cc/mcp"}}}{"mcpServers":{"cc-contexta-contexta":{"serverUrl":"https://mcp.contexta.cc/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project README
Contexta MCP
Persistent memory & knowledge graph for your AI assistant.
Keyword + vector + graph search in a single lookup.
What is Contexta
Contexta is a memory MCP server that remembers like a human does — by meaning, by words, and by relationships.
Most memory tools give you one flavor of recall: embedding search, a raw log, or a graph you pay extra for. Contexta fuses all three into a single query. Your agent can ask "what did we decide about pricing with Acme last quarter?" and get back the right meeting, the right decision, and the people connected to it — in one round-trip.
Under the hood, Contexta indexes your notes, messages, and documents as typed entities (people, projects, decisions, meetings, tasks) and links them into a knowledge graph automatically. Every retrieval combines:
- Keyword search — exact phrases, names, IDs
- Vector search — semantic meaning across languages
- Graph traversal — follow relationships between entities
Why Contexta
- Typed entities out of the box — people, projects, decisions, meetings, tasks are first-class, not blobs of text
- Knowledge graph included — no paid tier gate on the graph layer
- Triple retrieval in one call — no need to stitch together three different memory APIs
- 30-second setup — install via Smithery, sign in with OAuth, done
- Per-user OAuth — your memory is private; the server authenticates every request individually
- Multilingual — English and Russian equally supported
Use cases
- Persistent memory for Claude, ChatGPT, and Cursor across sessions
- Long-term context for AI agents working on ongoing projects
- Personal knowledge base that actually understands who and what you mean
- Research and meeting recall without manually tagging anything
Install
Via Smithery (recommended)
One-click install from the Smithery listing — Smithery handles the OAuth flow and proxies connections through its gateway.
Manual — Claude Desktop
Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS, %APPDATA%\Claude\claude_desktop_config.json on Windows):
{
"mcpServers": {
"contexta": {
"url": "https://mcp.contexta.cc/mcp"
}
}
}
Claude will walk you through the OAuth sign-in on first use. See examples/claude-desktop.json.
Manual — Cursor
Add a new MCP server in Cursor → Settings → MCP:
- Name: Contexta
- Transport: HTTP
- URL:
https://mcp.contexta.cc/mcp
See examples/cursor.json.
Manual — ChatGPT
In ChatGPT → Settings → Connectors → Add custom connector → paste https://mcp.contexta.cc/mcp. See examples/chatgpt.md for full instructions.
Authentication
Contexta uses OAuth 2.0 with dynamic client registration (RFC 7591) and PKCE. On first connection, your MCP client opens a browser window, you sign in with your Contexta account, and the client receives a per-user access token. Tokens are refreshed automatically.
No API keys, no shared credentials — every request runs as a specific user with that user's private memory.
Tools exposed
Contexta MCP exposes the following tools to your AI client (non-exhaustive):
search— keyword + vector + graph search across your memoryread_page— fetch a note or document by IDcreate_page— save a new memoryupdate_page— edit an existing memorygraph_search— traverse the knowledge graphlist_tasks/create_task/update_task— task managementlist_workspaces— available workspaces- and more — the full tool list is discovered automatically by your MCP client.
Links
- Website: contexta.cc
- App: app.contexta.cc
- Smithery: smithery.ai/servers/ai-jcce/mcp-contexta
- MCP endpoint:
https://mcp.contexta.cc/mcp
License
MIT — see LICENSE.
This repository is a public showcase for the hosted Contexta MCP service. The service itself is operated by the Contexta team at mcp.contexta.cc.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.