Connapse

Name: Connapse
Author: Destrayon

by Destrayonversion 0.3.2i★ –iRuns on your computer

Registry nameio.github.Destrayon/connapse

Install

Overview

Description from the maker (original English)

Self-hosted knowledge backend for AI agents with hybrid search and MCP tools

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: Streamable HTTP
Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

DockerDocker installed

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "connapse": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/destrayon/connapse:v0.3.2"
      ]
    }
  }
}

Run this in your terminal

claude mcp add connapse -- docker run -i --rm ghcr.io/destrayon/connapse:v0.3.2

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "connapse": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/destrayon/connapse:v0.3.2"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "connapse": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/destrayon/connapse:v0.3.2"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account Destrayon, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

More stars than 0% of the other 7251 servers in this category
Published to the registry more recently than 5% of the other 7251 servers in this category
Basic checks equal to or better than 100% of the other 7251 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Connapse safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.3.2) reached the registry 8 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Docker on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated today

Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago

Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Stop losing context between AI sessions. Give your agents persistent, searchable memory.

*Your AI agents forget everything between sessions. Connapse fixes that.*

Every time you start a new conversation, your AI agent starts from zero — no memory of past research, no access to your documents, no accumulated knowledge. Connapse is an open-source knowledge backend that gives agents persistent, searchable memory. Upload documents or point it at your existing Amazon S3 buckets or local filesystems. Agents query and build their own research corpus through the MCP server, the REST API, or the CLI. Container-isolated, hybrid search (vector + keyword), self-hosted and private. Deploy in 60 seconds with Docker. Built on .NET 10.

🤖 AI Agent Integration — Claude queries and builds your knowledge base via MCP

*AI agents query your knowledge base through the MCP server, receiving structured answers with source citations from your documents.*

🎛️ Your Knowledge, Your Rules — Runtime configuration without restarting

*Switch embedding providers, tune chunking parameters, and configure search — all at runtime, without restarting.*

📦 Quick Start

You need Docker with the Compose plugin and port 5001 free.

git clone https://github.com/Destrayon/Connapse.git

cd Connapse cp .env.example .env docker compose --profile with-ollama up -d docker compose exec ollama ollama pull nomic-embed-text

Open http://localhost:5001 and create the owner account. The full walk-through, from upload to a cited search result, is the Quickstart.

🤖 Connect an agent

Create an agent key at Agents → API Keys, then add Connapse to your MCP client. For Claude Code:

claude mcp add --transport http connapse http://localhost:5001/mcp --header "X-Api-Key: cnp_your_key"

Agents get 21 named tools, such as search_knowledge, upload_file, get_document, the code_* tools and the memory_* tools, plus 3 generic tools that reach the rest of the API. Other clients are in Connect an MCP client, and every tool is in MCP tools.

🚀 Features

🗂️ Containers — Each project gets its own files, vector index and optional settings, with nothing shared between containers.
🔍 Hybrid search — Vector and keyword search fused together, with optional cross-encoder reranking.
🧠 Your choice of models — Ollama, OpenAI, Azure OpenAI and Anthropic, changed at runtime without a restart.
🔌 Index what you already have — Uploads, local folders and SFTP, Amazon S3, Azure Blob Storage, GitHub, Confluence and Jira, and your own systems through a custom source server. Files stay where they are.
🔐 Per-user permissions — Search results from AWS, Azure, GitHub, Atlassian and custom sources are trimmed to what each person can open in the source system, and fail closed.
🤖 Every surface — Web UI, REST API, MCP server and the connapse CLI.
🐳 Self-hosted — Docker Compose with PostgreSQL and pgvector, MinIO and optional Ollama. With Ollama, nothing leaves your machine.

📚 Documentation

The full documentation is in docs/.

Get started — run Connapse and search your first document
Self-host — install, production, backups, upgrades and troubleshooting
Connect your data — sources from S3, Azure, GitHub, Atlassian, folders and your own systems
Guides — users, tokens, agents, the API and search tuning
Concepts — how Connapse, search, ingestion and permissions work
Reference — REST API, MCP tools, configuration, roles and scopes, file types and error types
Security policy

💬 Support

🐛 Bugs: GitHub Issues
💡 Ideas and questions: GitHub Discussions
🔒 Security issues: see SECURITY.md

🤝 Contributing

Contributions are welcome. Start with CONTRIBUTING.md and Development, and look for issues labeled good-first-issue.

📄 License

MIT.

Connapse

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

📦 Quick Start

🤖 Connect an agent

🚀 Features

📚 Documentation

💬 Support

🤝 Contributing

📄 License