
Contexta
- Updated April 9, 2026
- teleengco/contexta-mcp
Contexta is an MCP server that adds persistent memory and knowledge-graph search (keyword, vector, and graph) to your coding agent.
About
Contexta is an MCP server that gives AI assistants persistent memory backed by a knowledge graph. developers shipping with Claude Code, Cursor, or similar agents often lose thread when contexts reset; Contexta stores entities and relationships so you can search by keywords, embeddings, or graph traversal instead of re-pasting the same README every session. It fits teams who treat the agent as a collaborator on one codebase for weeks—architecture notes, API contracts, and prior debugging conclusions stay queryable. Install means pointing your MCP client at the remote URL and using Contexta tools from the agent when you need recall. It is integration infrastructure, not a brainstorming skill: you still author what goes into memory. Pair it with your normal planning and review habits; Contexta makes retrieval reliable once facts are captured.
- Keyword, vector, and graph search over a shared knowledge graph
- Streamable HTTP remote at mcp.contexta.cc—no local daemon required
- Designed for long-lived assistant context across projects and sessions
- Open-source server (teleengco/contexta-mcp) with Contexta-hosted endpoint
Contexta by the numbers
- Data as of Jul 7, 2026 (Skillselion catalog sync)
claude mcp add --transport http contexta-mcp https://mcp.contexta.cc/mcpAdd your badge
Show developers this MCP server is listed on Skillselion. Paste this into your README.
| Transport | HTTP |
|---|---|
| Auth | None |
| Last updated | April 9, 2026 |
| Repository | teleengco/contexta-mcp ↗ |
What it does
Give your coding agent durable recall across sessions so decisions, specs, and project facts survive restarts and new chats.
Who is it for?
Best when you're running long Claude Code or Cursor sessions on one product and want structured recall without building a custom vector DB.
Skip if: Skip if you only need ephemeral chat with no cross-session memory, or developers and cannot use hosted MCP remotes.
What you get
After you register the remote MCP endpoint, your agent can query stored knowledge so prior project context is retrievable instead of retyped from scratch.
- Configured remote MCP connection to Contexta
- Queryable persistent memory usable from agent tool calls
- Shared knowledge graph entries your assistant can search over time
By the numbers
- Protocol: MCP over streamable HTTP remote
- Search modes: keyword, vector, and graph (per server description)
- Catalog version: 1.0.0
README.md
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.
Recommended MCP Servers
How it compares
MCP memory and graph retrieval layer—not a planning methodology skill or a generic notes app.
FAQ
Who is Contexta for?
and small-team developers using MCP-capable agents who need durable project memory and hybrid search over what they have already taught the assistant.
When should I use Contexta?
Use it during Build (and ongoing Operate work) whenever sessions are long-lived and you want facts, APIs, and decisions searchable instead of duplicated in every prompt.
How do I add Contexta to my agent?
Add the streamable HTTP remote https://mcp.contexta.cc/mcp in your client’s MCP config (Claude Code, Cursor, Codex, or other MCP hosts), then invoke Contexta tools from chat when you need memory lookup or graph search.