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  3. Seek
MCP server · AI

Seek

Chat client and MCP Server for Retrieval-Augmented Generation (RAG)

Unclaimed MIT last commit 8 months ago ai
56Fair

Scored 4 days ago · breakdown

About Seek

Seek is an MCP server published by RhydianJenkins in the AI category: chat client and MCP Server for Retrieval-Augmented Generation (RAG).

The repository has 1 stars and 0 forks, with the last commit 8 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/RhydianJenkins/seek

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Ask AI

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Ask AI about Seek

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I know everything about Seek. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

Static checks derived from the repository 4 days ago. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • ✓Tests presentA test suite exists in the repository.
  • ✓Dependencies pinnedA lockfile pins dependency versions.
  • ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

Releases

v1.1.0Ask command and some refactoring · 31 Jan 2026

README

MCP Server for Retrieval-Augmented Generation (RAG).

Search through a given knowledge base for relevant information using embedded natural language.

This is an early prototype and breaking changes are likely.

Features

  • Natural Language Search: Ask a question and have a conversation with your knowledge base
  • Semantic Search: Search your knowledge base for relevant documents using natural language queries
  • MCP Integration: Full Model Context Protocol support for integration with MCP clients

Supported File Formats

  • Plain Text - .txt, .md, and other text-based files
  • PDF - .pdf documents with text extraction
  • Word - .docx documents with text extraction
  • Excel - .xlsx spreadsheets (all sheets and cells)

Getting Started

Install the binary to your system:

nix profile install github:rhydianjenkins/seek
seek --help

Or use without installing:

# Run directly without installing
nix run github:rhydianjenkins/seek -- --help

# Temporary shell with seek available
nix shell github:rhydianjenkins/seek
seek --help

Start the required services (Ollama and Qdrant):

# Start Qdrant (in one terminal)
nix run github:rhydianjenkins/seek#qdrant

# Start Ollama (in another terminal - auto-pulls nomic-embed-text model)
nix run github:rhydianjenkins/seek#ollama

# Or bring your own services by creating a .env file
cp .env.default .env

Install the binary globally on your system using Go:

go install github.com/rhydianjenkins/seek@latest
seek --help

Make sure $GOPATH/bin (usually ~/go/bin) is in your PATH.

git clone git@github.com:rhydianjenkins/seek
cd seek
go build
./seek --help

Embed your knowledge base

For seek to work, you first must embed your knowledge base into a qdrant vector database.

To embed your knowledge base, you can use the embed command:

seek embed --dataDir /path/to/knowledge/base

Search your Knowledge Base

Search for documents using natural language:

# Find relevant documents
seek search "Announcements this week"

# Ask a question
seek ask "What is the culture like at the company?"

# Show all documents in current database
seek list

# Fetch a specific document by filename
seek get "document.txt"

MCP

Start the MCP server for integration with MCP clients:

seek mcp

When running as an MCP server, the following tools are available:

  • search - Search the knowledge base using semantic similarity
  • embed - Generate embeddings for documents in a directory
  • get_document - Retrieve a full document by filename
  • status - Get database status and statistics

TODO

  • Add auth/TLS support
  • Image/OCR support

README fetched from the repository 4 days ago. The original is authoritative.

Questions

About Seek

How do I install Seek?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Seek safe to use with an AI agent?

Its trust score is 56 out of 100 (fair). It passes 5 of the 6 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Seek still maintained?

The last commit was 8 months ago. That's long enough that you should check whether the maintainer is responding to issues before depending on it.