MCP.Market

Contexta MCP server

online · 100% uptime
by contexta.cc·cc.contexta/contexta-mcp·v1.0.0

Persistent memory and knowledge graph for AI assistants — keyword + vector + graph search.

B75/100grade B
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Safety scan
B75/100

full report

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Contexta tools

Tool list not cached yet. `describe` through the gateway fetches it live.

Public scan report

scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it

no findings
  • –Code scanremote-only server, no package to scann/a
  • Live reliabilityremote reachable in 440ms (auth required)20/20
  • –Tool poisoningtools not inspected (endpoint requires auth); not countedn/a
  • Auth qualityauth enforced (bearer)9/15
  • Maintenancelast push 171 days ago8/15
  • Maintainer identitynamespace and repository owner differ; GitHub account older than a year; website matches verified namespace8/10
Overall 75/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Contexta compares

Against every graded SEO MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
75/100
higher than 40% of 769 SEO servers
Uptime
100%
of our recent checks; the typical remote SEO server answers 100%
Response time
1,364 ms
faster than 7% of 536 SEO servers

Install Contexta in Claude Code, Cursor or VS Code

claude mcp add --transport http contexta-mcp https://mcp.contexta.cc/mcp
Add to Cursor

What the publisher says

From the Contexta repository's README, as published. We do not edit it. Read it on GitHub

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/claudedesktopconfig.json on macOS, %APPDATA%\Claude\claudedesktopconfig.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):

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Contexta: common questions

Is Contexta MCP server safe?
Mostly: it is graded B (75/100). Read the Contexta safety report
How do I install Contexta?
It runs remotely at mcp.contexta.cc. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does Contexta need an API key?
Yes. The endpoint refuses requests without credentials; the publisher's docs say how to get them.
Is Contexta maintained?
The last commit was 209 days ago (2026-04-09). The latest release is v1.0.0.
Is Contexta up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
What can I use instead of Contexta?
Servers from other publishers that do the same job: openchronicle-mcp server, GenPark Trie Prefix Keyword Matcher MCP server and SEO Skill MCP server.
How does Contexta compare with other SEO MCP servers?
safety score 75/100 (higher than 40% of 769 SEO servers); uptime 100% (of our recent checks; the typical remote SEO server answers 100%); response time 1,364 ms (faster than 7% of 536 SEO servers). Full comparison.

Alternatives to Contexta

Same job from other publishers: the closest match first, then the best rated.

  • openchronicle-mcp
    Memory database for LLM agents — persistent semantic + keyword memory, project namespacing, served o
    A
  • GenPark Trie Prefix Keyword Matcher
    High-performance in-memory Trie and multi-keyword search engine for prompt routing and entity extrac
    A
  • SEO Skill
    Free Google Search Console MCP: your real GSC, Google Analytics and keyword data for AI agents.
    A
  • HasData TikTok
    Public TikTok profiles, videos, comments and keyword search as JSON. No developer account.
    A
  • DispatchSEO
    Open-source SEO manager for coding agents: keyword research, content PRs, rank + Search Console.
    A